--- _id: '321' abstract: - lang: eng text: The twelve papers in this special section focus on learning systems with shared information for computer vision and multimedia communication analysis. In the real world, a realistic setting for computer vision or multimedia recognition problems is that we have some classes containing lots of training data and many classes containing a small amount of training data. Therefore, how to use frequent classes to help learning rare classes for which it is harder to collect the training data is an open question. Learning with shared information is an emerging topic in machine learning, computer vision and multimedia analysis. There are different levels of components that can be shared during concept modeling and machine learning stages, such as sharing generic object parts, sharing attributes, sharing transformations, sharing regularization parameters and sharing training examples, etc. Regarding the specific methods, multi-task learning, transfer learning and deep learning can be seen as using different strategies to share information. These learning with shared information methods are very effective in solving real-world large-scale problems. article_processing_charge: No article_type: original author: - first_name: Trevor full_name: Darrell, Trevor last_name: Darrell - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Nico full_name: Sebe, Nico last_name: Sebe - first_name: Ying full_name: Wu, Ying last_name: Wu - first_name: Yan full_name: Yan, Yan last_name: Yan citation: ama: Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2018;40(5):1029-1031. doi:10.1109/TPAMI.2018.2804998 apa: Darrell, T., Lampert, C., Sebe, N., Wu, Y., & Yan, Y. (2018). Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE. https://doi.org/10.1109/TPAMI.2018.2804998 chicago: Darrell, Trevor, Christoph Lampert, Nico Sebe, Ying Wu, and Yan Yan. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence. IEEE, 2018. https://doi.org/10.1109/TPAMI.2018.2804998. ieee: T. Darrell, C. Lampert, N. Sebe, Y. Wu, and Y. Yan, “Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis,” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5. IEEE, pp. 1029–1031, 2018. ista: Darrell T, Lampert C, Sebe N, Wu Y, Yan Y. 2018. Guest editors’ introduction to the special section on learning with Shared information for computer vision and multimedia analysis. IEEE Transactions on Pattern Analysis and Machine Intelligence. 40(5), 1029–1031. mla: Darrell, Trevor, et al. “Guest Editors’ Introduction to the Special Section on Learning with Shared Information for Computer Vision and Multimedia Analysis.” IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 40, no. 5, IEEE, 2018, pp. 1029–31, doi:10.1109/TPAMI.2018.2804998. short: T. Darrell, C. Lampert, N. Sebe, Y. Wu, Y. Yan, IEEE Transactions on Pattern Analysis and Machine Intelligence 40 (2018) 1029–1031. date_created: 2018-12-11T11:45:48Z date_published: 2018-05-01T00:00:00Z date_updated: 2023-09-11T14:07:54Z day: '01' ddc: - '000' department: - _id: ChLa doi: 10.1109/TPAMI.2018.2804998 external_id: isi: - '000428901200001' file: - access_level: open_access checksum: b19c75da06faf3291a3ca47dfa50ef63 content_type: application/pdf creator: dernst date_created: 2020-05-14T12:50:48Z date_updated: 2020-07-14T12:46:03Z file_id: '7835' file_name: 2018_IEEE_Darrell.pdf file_size: 141724 relation: main_file file_date_updated: 2020-07-14T12:46:03Z has_accepted_license: '1' intvolume: ' 40' isi: 1 issue: '5' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: 1029 - 1031 publication: IEEE Transactions on Pattern Analysis and Machine Intelligence publication_status: published publisher: IEEE publist_id: '7544' quality_controlled: '1' scopus_import: '1' status: public title: Guest editors' introduction to the special section on learning with Shared information for computer vision and multimedia analysis type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 40 year: '2018' ... --- _id: '9841' abstract: - lang: eng text: Around 150 million years ago, eusocial termites evolved from within the cockroaches, 50 million years before eusocial Hymenoptera, such as bees and ants, appeared. Here, we report the 2-Gb genome of the German cockroach, Blattella germanica, and the 1.3-Gb genome of the drywood termite Cryptotermes secundus. We show evolutionary signatures of termite eusociality by comparing the genomes and transcriptomes of three termites and the cockroach against the background of 16 other eusocial and non-eusocial insects. Dramatic adaptive changes in genes underlying the production and perception of pheromones confirm the importance of chemical communication in the termites. These are accompanied by major changes in gene regulation and the molecular evolution of caste determination. Many of these results parallel molecular mechanisms of eusocial evolution in Hymenoptera. However, the specific solutions are remarkably different, thus revealing a striking case of convergence in one of the major evolutionary transitions in biological complexity. article_processing_charge: No author: - first_name: Mark C. full_name: Harrison, Mark C. last_name: Harrison - first_name: Evelien full_name: Jongepier, Evelien last_name: Jongepier - first_name: Hugh M. full_name: Robertson, Hugh M. last_name: Robertson - first_name: Nicolas full_name: Arning, Nicolas last_name: Arning - first_name: Tristan full_name: Bitard-Feildel, Tristan last_name: Bitard-Feildel - first_name: Hsu full_name: Chao, Hsu last_name: Chao - first_name: Christopher P. full_name: Childers, Christopher P. last_name: Childers - first_name: Huyen full_name: Dinh, Huyen last_name: Dinh - first_name: Harshavardhan full_name: Doddapaneni, Harshavardhan last_name: Doddapaneni - first_name: Shannon full_name: Dugan, Shannon last_name: Dugan - first_name: Johannes full_name: Gowin, Johannes last_name: Gowin - first_name: Carolin full_name: Greiner, Carolin last_name: Greiner - first_name: Yi full_name: Han, Yi last_name: Han - first_name: Haofu full_name: Hu, Haofu last_name: Hu - first_name: Daniel S. T. full_name: Hughes, Daniel S. T. last_name: Hughes - first_name: Ann K full_name: Huylmans, Ann K id: 4C0A3874-F248-11E8-B48F-1D18A9856A87 last_name: Huylmans orcid: 0000-0001-8871-4961 - first_name: Carsten full_name: Kemena, Carsten last_name: Kemena - first_name: Lukas P. M. full_name: Kremer, Lukas P. M. last_name: Kremer - first_name: Sandra L. full_name: Lee, Sandra L. last_name: Lee - first_name: Alberto full_name: Lopez-Ezquerra, Alberto last_name: Lopez-Ezquerra - first_name: Ludovic full_name: Mallet, Ludovic last_name: Mallet - first_name: Jose M. full_name: Monroy-Kuhn, Jose M. last_name: Monroy-Kuhn - first_name: Annabell full_name: Moser, Annabell last_name: Moser - first_name: Shwetha C. full_name: Murali, Shwetha C. last_name: Murali - first_name: Donna M. full_name: Muzny, Donna M. last_name: Muzny - first_name: Saria full_name: Otani, Saria last_name: Otani - first_name: Maria-Dolors full_name: Piulachs, Maria-Dolors last_name: Piulachs - first_name: Monica full_name: Poelchau, Monica last_name: Poelchau - first_name: Jiaxin full_name: Qu, Jiaxin last_name: Qu - first_name: Florentine full_name: Schaub, Florentine last_name: Schaub - first_name: Ayako full_name: Wada-Katsumata, Ayako last_name: Wada-Katsumata - first_name: Kim C. full_name: Worley, Kim C. last_name: Worley - first_name: Qiaolin full_name: Xie, Qiaolin last_name: Xie - first_name: Guillem full_name: Ylla, Guillem last_name: Ylla - first_name: Michael full_name: Poulsen, Michael last_name: Poulsen - first_name: Richard A. full_name: Gibbs, Richard A. last_name: Gibbs - first_name: Coby full_name: Schal, Coby last_name: Schal - first_name: Stephen full_name: Richards, Stephen last_name: Richards - first_name: Xavier full_name: Belles, Xavier last_name: Belles - first_name: Judith full_name: Korb, Judith last_name: Korb - first_name: Erich full_name: Bornberg-Bauer, Erich last_name: Bornberg-Bauer citation: ama: 'Harrison MC, Jongepier E, Robertson HM, et al. Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. 2018. doi:10.5061/dryad.51d4r' apa: 'Harrison, M. C., Jongepier, E., Robertson, H. M., Arning, N., Bitard-Feildel, T., Chao, H., … Bornberg-Bauer, E. (2018). Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality. Dryad. https://doi.org/10.5061/dryad.51d4r' chicago: 'Harrison, Mark C., Evelien Jongepier, Hugh M. Robertson, Nicolas Arning, Tristan Bitard-Feildel, Hsu Chao, Christopher P. Childers, et al. “Data from: Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality.” Dryad, 2018. https://doi.org/10.5061/dryad.51d4r.' ieee: 'M. C. Harrison et al., “Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality.” Dryad, 2018.' ista: 'Harrison MC, Jongepier E, Robertson HM, Arning N, Bitard-Feildel T, Chao H, Childers CP, Dinh H, Doddapaneni H, Dugan S, Gowin J, Greiner C, Han Y, Hu H, Hughes DST, Huylmans AK, Kemena C, Kremer LPM, Lee SL, Lopez-Ezquerra A, Mallet L, Monroy-Kuhn JM, Moser A, Murali SC, Muzny DM, Otani S, Piulachs M-D, Poelchau M, Qu J, Schaub F, Wada-Katsumata A, Worley KC, Xie Q, Ylla G, Poulsen M, Gibbs RA, Schal C, Richards S, Belles X, Korb J, Bornberg-Bauer E. 2018. Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality, Dryad, 10.5061/dryad.51d4r.' mla: 'Harrison, Mark C., et al. Data from: Hemimetabolous Genomes Reveal Molecular Basis of Termite Eusociality. Dryad, 2018, doi:10.5061/dryad.51d4r.' short: M.C. Harrison, E. Jongepier, H.M. Robertson, N. Arning, T. Bitard-Feildel, H. Chao, C.P. Childers, H. Dinh, H. Doddapaneni, S. Dugan, J. Gowin, C. Greiner, Y. Han, H. Hu, D.S.T. Hughes, A.K. Huylmans, C. Kemena, L.P.M. Kremer, S.L. Lee, A. Lopez-Ezquerra, L. Mallet, J.M. Monroy-Kuhn, A. Moser, S.C. Murali, D.M. Muzny, S. Otani, M.-D. Piulachs, M. Poelchau, J. Qu, F. Schaub, A. Wada-Katsumata, K.C. Worley, Q. Xie, G. Ylla, M. Poulsen, R.A. Gibbs, C. Schal, S. Richards, X. Belles, J. Korb, E. Bornberg-Bauer, (2018). date_created: 2021-08-09T13:13:48Z date_published: 2018-12-12T00:00:00Z date_updated: 2023-09-11T14:10:56Z day: '12' department: - _id: BeVi doi: 10.5061/dryad.51d4r main_file_link: - open_access: '1' url: https://doi.org/10.5061/dryad.51d4r month: '12' oa: 1 oa_version: Published Version publisher: Dryad related_material: record: - id: '448' relation: used_in_publication status: public status: public title: 'Data from: Hemimetabolous genomes reveal molecular basis of termite eusociality' type: research_data_reference user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf year: '2018' ... --- _id: '32' abstract: - lang: eng text: The functional role of AMPA receptor (AMPAR)-mediated synaptic signaling between neurons and oligodendrocyte precursor cells (OPCs) remains enigmatic. We modified the properties of AMPARs at axon-OPC synapses in the mouse corpus callosum in vivo during the peak of myelination by targeting the GluA2 subunit. Expression of the unedited (Ca2+ permeable) or the pore-dead GluA2 subunit of AMPARs triggered proliferation of OPCs and reduced their differentiation into oligodendrocytes. Expression of the cytoplasmic C-terminal (GluA2(813-862)) of the GluA2 subunit (C-tail), a modification designed to affect the interaction between GluA2 and AMPAR-binding proteins and to perturb trafficking of GluA2-containing AMPARs, decreased the differentiation of OPCs without affecting their proliferation. These findings suggest that ionotropic and non-ionotropic properties of AMPARs in OPCs, as well as specific aspects of AMPAR-mediated signaling at axon-OPC synapses in the mouse corpus callosum, are important for balancing the response of OPCs to proliferation and differentiation cues. In the brain, oligodendrocyte precursor cells (OPCs) receive glutamatergic AMPA-receptor-mediated synaptic input from neurons. Chen et al. show that modifying AMPA-receptor properties at axon-OPC synapses alters proliferation and differentiation of OPCs. This expands the traditional view of synaptic transmission by suggesting neurons also use synapses to modulate behavior of glia. acknowledgement: This work was supported by Deutsche Forschungsgemeinschaft (DFG) grant KU2569/1-1 (to M.K.); DFG project EXC307Centre for Integrative Neuroscience (CIN), including grant Pool Project 2011-12 (jointly to M.K. and I.E.); and the Charitable Hertie Foundation (to I.E.). CIN is an Excellence Cluster funded by the DFG within the framework of the Excellence Initiative for 2008–2018. M.K. is supported by the Tistou & Charlotte Kerstan Foundation. article_processing_charge: No author: - first_name: Ting full_name: Chen, Ting last_name: Chen - first_name: Bartosz full_name: Kula, Bartosz last_name: Kula - first_name: Balint full_name: Nagy, Balint id: 30F830CE-02D1-11E9-9BAA-DAF4881429F2 last_name: Nagy orcid: 0000-0002-4002-4686 - first_name: Ruxandra full_name: Barzan, Ruxandra last_name: Barzan - first_name: Andrea full_name: Gall, Andrea last_name: Gall - first_name: Ingrid full_name: Ehrlich, Ingrid last_name: Ehrlich - first_name: Maria full_name: Kukley, Maria last_name: Kukley citation: ama: Chen T, Kula B, Nagy B, et al. In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit GluA2. Cell Reports. 2018;25(4):852-861.e7. doi:10.1016/j.celrep.2018.09.066 apa: Chen, T., Kula, B., Nagy, B., Barzan, R., Gall, A., Ehrlich, I., & Kukley, M. (2018). In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit GluA2. Cell Reports. Elsevier. https://doi.org/10.1016/j.celrep.2018.09.066 chicago: Chen, Ting, Bartosz Kula, Balint Nagy, Ruxandra Barzan, Andrea Gall, Ingrid Ehrlich, and Maria Kukley. “In Vivo Regulation of Oligodendrocyte Processor Cell Proliferation and Differentiation by the AMPA-Receptor Subunit GluA2.” Cell Reports. Elsevier, 2018. https://doi.org/10.1016/j.celrep.2018.09.066. ieee: T. Chen et al., “In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit GluA2,” Cell Reports, vol. 25, no. 4. Elsevier, p. 852–861.e7, 2018. ista: Chen T, Kula B, Nagy B, Barzan R, Gall A, Ehrlich I, Kukley M. 2018. In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit GluA2. Cell Reports. 25(4), 852–861.e7. mla: Chen, Ting, et al. “In Vivo Regulation of Oligodendrocyte Processor Cell Proliferation and Differentiation by the AMPA-Receptor Subunit GluA2.” Cell Reports, vol. 25, no. 4, Elsevier, 2018, p. 852–861.e7, doi:10.1016/j.celrep.2018.09.066. short: T. Chen, B. Kula, B. Nagy, R. Barzan, A. Gall, I. Ehrlich, M. Kukley, Cell Reports 25 (2018) 852–861.e7. date_created: 2018-12-11T11:44:16Z date_published: 2018-10-23T00:00:00Z date_updated: 2023-09-11T14:13:32Z day: '23' ddc: - '570' department: - _id: SaSi doi: 10.1016/j.celrep.2018.09.066 external_id: isi: - '000448219500005' file: - access_level: open_access checksum: d9f74277fd57176e04732707d575cf08 content_type: application/pdf creator: dernst date_created: 2018-12-17T12:42:57Z date_updated: 2020-07-14T12:46:03Z file_id: '5703' file_name: 2018_CellReports_Chen.pdf file_size: 4461997 relation: main_file file_date_updated: 2020-07-14T12:46:03Z has_accepted_license: '1' intvolume: ' 25' isi: 1 issue: '4' language: - iso: eng month: '10' oa: 1 oa_version: Published Version page: 852 - 861.e7 publication: Cell Reports publication_status: published publisher: Elsevier publist_id: '8023' quality_controlled: '1' scopus_import: '1' status: public title: In Vivo regulation of Oligodendrocyte processor cell proliferation and differentiation by the AMPA-receptor Subunit GluA2 tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) short: CC BY-NC-ND (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 25 year: '2018' ... --- _id: '5672' abstract: - lang: eng text: The release of IgM is the first line of an antibody response and precedes the generation of high affinity IgG in germinal centers. Once secreted by freshly activated plasmablasts, IgM is released into the efferent lymph of reactive lymph nodes as early as 3 d after immunization. As pentameric IgM has an enormous size of 1,000 kD, its diffusibility is low, and one might wonder how it can pass through the densely lymphocyte-packed environment of a lymph node parenchyma in order to reach its exit. In this issue of JEM, Thierry et al. show that, in order to reach the blood stream, IgM molecules take a specific micro-anatomical route via lymph node conduits. article_processing_charge: No author: - first_name: Anne full_name: Reversat, Anne id: 35B76592-F248-11E8-B48F-1D18A9856A87 last_name: Reversat orcid: 0000-0003-0666-8928 - first_name: Michael K full_name: Sixt, Michael K id: 41E9FBEA-F248-11E8-B48F-1D18A9856A87 last_name: Sixt orcid: 0000-0002-6620-9179 citation: ama: Reversat A, Sixt MK. IgM’s exit route. Journal of Experimental Medicine. 2018;215(12):2959-2961. doi:10.1084/jem.20181934 apa: Reversat, A., & Sixt, M. K. (2018). IgM’s exit route. Journal of Experimental Medicine. Rockefeller University Press. https://doi.org/10.1084/jem.20181934 chicago: Reversat, Anne, and Michael K Sixt. “IgM’s Exit Route.” Journal of Experimental Medicine. Rockefeller University Press, 2018. https://doi.org/10.1084/jem.20181934. ieee: A. Reversat and M. K. Sixt, “IgM’s exit route,” Journal of Experimental Medicine, vol. 215, no. 12. Rockefeller University Press, pp. 2959–2961, 2018. ista: Reversat A, Sixt MK. 2018. IgM’s exit route. Journal of Experimental Medicine. 215(12), 2959–2961. mla: Reversat, Anne, and Michael K. Sixt. “IgM’s Exit Route.” Journal of Experimental Medicine, vol. 215, no. 12, Rockefeller University Press, 2018, pp. 2959–61, doi:10.1084/jem.20181934. short: A. Reversat, M.K. Sixt, Journal of Experimental Medicine 215 (2018) 2959–2961. date_created: 2018-12-16T22:59:18Z date_published: 2018-11-20T00:00:00Z date_updated: 2023-09-11T14:12:06Z day: '20' ddc: - '570' department: - _id: MiSi doi: 10.1084/jem.20181934 external_id: isi: - '000451920600002' file: - access_level: open_access checksum: 687beea1d64c213f4cb9e3c29ec11a14 content_type: application/pdf creator: dernst date_created: 2019-02-06T08:49:52Z date_updated: 2020-07-14T12:47:09Z file_id: '5931' file_name: 2018_JournalExperMed_Reversat.pdf file_size: 1216437 relation: main_file file_date_updated: 2020-07-14T12:47:09Z has_accepted_license: '1' intvolume: ' 215' isi: 1 issue: '12' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-sa/4.0/ month: '11' oa: 1 oa_version: Published Version page: 2959-2961 publication: Journal of Experimental Medicine publication_identifier: issn: - '00221007' publication_status: published publisher: Rockefeller University Press quality_controlled: '1' scopus_import: '1' status: public title: IgM's exit route tmp: image: /images/cc_by_nc_sa.png legal_code_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode name: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) short: CC BY-NC-SA (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 215 year: '2018' ... --- _id: '458' abstract: - lang: eng text: We consider congruences of straight lines in a plane with the combinatorics of the square grid, with all elementary quadrilaterals possessing an incircle. It is shown that all the vertices of such nets (we call them incircular or IC-nets) lie on confocal conics. Our main new results are on checkerboard IC-nets in the plane. These are congruences of straight lines in the plane with the combinatorics of the square grid, combinatorially colored as a checkerboard, such that all black coordinate quadrilaterals possess inscribed circles. We show how this larger class of IC-nets appears quite naturally in Laguerre geometry of oriented planes and spheres and leads to new remarkable incidence theorems. Most of our results are valid in hyperbolic and spherical geometries as well. We present also generalizations in spaces of higher dimension, called checkerboard IS-nets. The construction of these nets is based on a new 9 inspheres incidence theorem. acknowledgement: DFG Collaborative Research Center TRR 109 “Discretization in Geometry and Dynamics”; People Programme (Marie Curie Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) REA grant agreement n◦[291734] article_processing_charge: No author: - first_name: Arseniy full_name: Akopyan, Arseniy id: 430D2C90-F248-11E8-B48F-1D18A9856A87 last_name: Akopyan orcid: 0000-0002-2548-617X - first_name: Alexander full_name: Bobenko, Alexander last_name: Bobenko citation: ama: Akopyan A, Bobenko A. Incircular nets and confocal conics. Transactions of the American Mathematical Society. 2018;370(4):2825-2854. doi:10.1090/tran/7292 apa: Akopyan, A., & Bobenko, A. (2018). Incircular nets and confocal conics. Transactions of the American Mathematical Society. American Mathematical Society. https://doi.org/10.1090/tran/7292 chicago: Akopyan, Arseniy, and Alexander Bobenko. “Incircular Nets and Confocal Conics.” Transactions of the American Mathematical Society. American Mathematical Society, 2018. https://doi.org/10.1090/tran/7292. ieee: A. Akopyan and A. Bobenko, “Incircular nets and confocal conics,” Transactions of the American Mathematical Society, vol. 370, no. 4. American Mathematical Society, pp. 2825–2854, 2018. ista: Akopyan A, Bobenko A. 2018. Incircular nets and confocal conics. Transactions of the American Mathematical Society. 370(4), 2825–2854. mla: Akopyan, Arseniy, and Alexander Bobenko. “Incircular Nets and Confocal Conics.” Transactions of the American Mathematical Society, vol. 370, no. 4, American Mathematical Society, 2018, pp. 2825–54, doi:10.1090/tran/7292. short: A. Akopyan, A. Bobenko, Transactions of the American Mathematical Society 370 (2018) 2825–2854. date_created: 2018-12-11T11:46:35Z date_published: 2018-04-01T00:00:00Z date_updated: 2023-09-11T14:19:12Z day: '01' department: - _id: HeEd doi: 10.1090/tran/7292 ec_funded: 1 external_id: isi: - '000423197800019' intvolume: ' 370' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1602.04637 month: '04' oa: 1 oa_version: Preprint page: 2825 - 2854 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Transactions of the American Mathematical Society publication_status: published publisher: American Mathematical Society publist_id: '7363' quality_controlled: '1' scopus_import: '1' status: public title: Incircular nets and confocal conics type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 370 year: '2018' ... --- _id: '5788' abstract: - lang: eng text: In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the winner or payoff of the game. Such games are central in formal verification since they model the interaction between a non-terminating system and its environment. We study bidding games in which the players bid for the right to move the token. Two bidding rules have been defined. In Richman bidding, in each round, the players simultaneously submit bids, and the higher bidder moves the token and pays the other player. Poorman bidding is similar except that the winner of the bidding pays the “bank” rather than the other player. While poorman reachability games have been studied before, we present, for the first time, results on infinite-duration poorman games. A central quantity in these games is the ratio between the two players’ initial budgets. The questions we study concern a necessary and sufficient ratio with which a player can achieve a goal. For reachability objectives, such threshold ratios are known to exist for both bidding rules. We show that the properties of poorman reachability games extend to complex qualitative objectives such as parity, similarly to the Richman case. Our most interesting results concern quantitative poorman games, namely poorman mean-payoff games, where we construct optimal strategies depending on the initial ratio, by showing a connection with random-turn based games. The connection in itself is interesting, because it does not hold for reachability poorman games. We also solve the complexity problems that arise in poorman bidding games. alternative_title: - LNCS article_processing_charge: No author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000−0002−2985−7724 - first_name: Rasmus full_name: Ibsen-Jensen, Rasmus id: 3B699956-F248-11E8-B48F-1D18A9856A87 last_name: Ibsen-Jensen orcid: 0000-0003-4783-0389 citation: ama: 'Avni G, Henzinger TA, Ibsen-Jensen R. Infinite-duration poorman-bidding games. In: Vol 11316. Springer; 2018:21-36. doi:10.1007/978-3-030-04612-5_2' apa: 'Avni, G., Henzinger, T. A., & Ibsen-Jensen, R. (2018). Infinite-duration poorman-bidding games (Vol. 11316, pp. 21–36). Presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK: Springer. https://doi.org/10.1007/978-3-030-04612-5_2' chicago: Avni, Guy, Thomas A Henzinger, and Rasmus Ibsen-Jensen. “Infinite-Duration Poorman-Bidding Games,” 11316:21–36. Springer, 2018. https://doi.org/10.1007/978-3-030-04612-5_2. ieee: G. Avni, T. A. Henzinger, and R. Ibsen-Jensen, “Infinite-duration poorman-bidding games,” presented at the 14th International Conference on Web and Internet Economics, WINE, Oxford, UK, 2018, vol. 11316, pp. 21–36. ista: Avni G, Henzinger TA, Ibsen-Jensen R. 2018. Infinite-duration poorman-bidding games. 14th International Conference on Web and Internet Economics, WINE, LNCS, vol. 11316, 21–36. mla: Avni, Guy, et al. Infinite-Duration Poorman-Bidding Games. Vol. 11316, Springer, 2018, pp. 21–36, doi:10.1007/978-3-030-04612-5_2. short: G. Avni, T.A. Henzinger, R. Ibsen-Jensen, in:, Springer, 2018, pp. 21–36. conference: end_date: 2018-12-17 location: Oxford, UK name: 14th International Conference on Web and Internet Economics, WINE start_date: 2018-12-15 date_created: 2018-12-30T22:59:14Z date_published: 2018-11-21T00:00:00Z date_updated: 2023-09-12T07:44:01Z day: '21' department: - _id: ToHe doi: 10.1007/978-3-030-04612-5_2 external_id: arxiv: - '1804.04372' isi: - '000865933000002' intvolume: ' 11316' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.04372 month: '11' oa: 1 oa_version: Preprint page: 21-36 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering - _id: 264B3912-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: M02369 name: Formal Methods meets Algorithmic Game Theory publication_identifier: isbn: - '9783030046118' issn: - '03029743' publisher: Springer quality_controlled: '1' scopus_import: '1' status: public title: Infinite-duration poorman-bidding games type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 11316 year: '2018' ... --- _id: '150' abstract: - lang: eng text: A short, 14-amino-acid segment called SP1, located in the Gag structural protein1, has a critical role during the formation of the HIV-1 virus particle. During virus assembly, the SP1 peptide and seven preceding residues fold into a six-helix bundle, which holds together the Gag hexamer and facilitates the formation of a curved immature hexagonal lattice underneath the viral membrane2,3. Upon completion of assembly and budding, proteolytic cleavage of Gag leads to virus maturation, in which the immature lattice is broken down; the liberated CA domain of Gag then re-assembles into the mature conical capsid that encloses the viral genome and associated enzymes. Folding and proteolysis of the six-helix bundle are crucial rate-limiting steps of both Gag assembly and disassembly, and the six-helix bundle is an established target of HIV-1 inhibitors4,5. Here, using a combination of structural and functional analyses, we show that inositol hexakisphosphate (InsP6, also known as IP6) facilitates the formation of the six-helix bundle and assembly of the immature HIV-1 Gag lattice. IP6 makes ionic contacts with two rings of lysine residues at the centre of the Gag hexamer. Proteolytic cleavage then unmasks an alternative binding site, where IP6 interaction promotes the assembly of the mature capsid lattice. These studies identify IP6 as a naturally occurring small molecule that promotes both assembly and maturation of HIV-1. article_processing_charge: No article_type: original author: - first_name: Robert full_name: Dick, Robert last_name: Dick - first_name: Kaneil K full_name: Zadrozny, Kaneil K last_name: Zadrozny - first_name: Chaoyi full_name: Xu, Chaoyi last_name: Xu - first_name: Florian full_name: Schur, Florian id: 48AD8942-F248-11E8-B48F-1D18A9856A87 last_name: Schur orcid: 0000-0003-4790-8078 - first_name: Terri D full_name: Lyddon, Terri D last_name: Lyddon - first_name: Clifton L full_name: Ricana, Clifton L last_name: Ricana - first_name: Jonathan M full_name: Wagner, Jonathan M last_name: Wagner - first_name: Juan R full_name: Perilla, Juan R last_name: Perilla - first_name: Pornillos Barbie K full_name: Ganser, Pornillos Barbie K last_name: Ganser - first_name: Marc C full_name: Johnson, Marc C last_name: Johnson - first_name: Owen full_name: Pornillos, Owen last_name: Pornillos - first_name: Volker full_name: Vogt, Volker last_name: Vogt citation: ama: Dick R, Zadrozny KK, Xu C, et al. Inositol phosphates are assembly co-factors for HIV-1. Nature. 2018;560(7719):509–512. doi:10.1038/s41586-018-0396-4 apa: Dick, R., Zadrozny, K. K., Xu, C., Schur, F. K., Lyddon, T. D., Ricana, C. L., … Vogt, V. (2018). Inositol phosphates are assembly co-factors for HIV-1. Nature. Nature Publishing Group. https://doi.org/10.1038/s41586-018-0396-4 chicago: Dick, Robert, Kaneil K Zadrozny, Chaoyi Xu, Florian KM Schur, Terri D Lyddon, Clifton L Ricana, Jonathan M Wagner, et al. “Inositol Phosphates Are Assembly Co-Factors for HIV-1.” Nature. Nature Publishing Group, 2018. https://doi.org/10.1038/s41586-018-0396-4. ieee: R. Dick et al., “Inositol phosphates are assembly co-factors for HIV-1,” Nature, vol. 560, no. 7719. Nature Publishing Group, pp. 509–512, 2018. ista: Dick R, Zadrozny KK, Xu C, Schur FK, Lyddon TD, Ricana CL, Wagner JM, Perilla JR, Ganser PBK, Johnson MC, Pornillos O, Vogt V. 2018. Inositol phosphates are assembly co-factors for HIV-1. Nature. 560(7719), 509–512. mla: Dick, Robert, et al. “Inositol Phosphates Are Assembly Co-Factors for HIV-1.” Nature, vol. 560, no. 7719, Nature Publishing Group, 2018, pp. 509–512, doi:10.1038/s41586-018-0396-4. short: R. Dick, K.K. Zadrozny, C. Xu, F.K. Schur, T.D. Lyddon, C.L. Ricana, J.M. Wagner, J.R. Perilla, P.B.K. Ganser, M.C. Johnson, O. Pornillos, V. Vogt, Nature 560 (2018) 509–512. date_created: 2018-12-11T11:44:53Z date_published: 2018-08-29T00:00:00Z date_updated: 2023-09-12T07:44:37Z day: '29' department: - _id: FlSc doi: 10.1038/s41586-018-0396-4 external_id: isi: - '000442483400046' pmid: - '30158708' intvolume: ' 560' isi: 1 issue: '7719' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6242333/ month: '08' oa: 1 oa_version: Submitted Version page: 509–512 pmid: 1 publication: Nature publication_identifier: eissn: - 1476-4687 publication_status: published publisher: Nature Publishing Group quality_controlled: '1' related_material: link: - relation: erratum url: https://doi.org/10.1038/s41586-018-0505-4 scopus_import: '1' status: public title: Inositol phosphates are assembly co-factors for HIV-1 type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 560 year: '2018' ... --- _id: '303' abstract: - lang: eng text: The theory of tropical series, that we develop here, firstly appeared in the study of the growth of pluriharmonic functions. Motivated by waves in sandpile models we introduce a dynamic on the set of tropical series, and it is experimentally observed that this dynamic obeys a power law. So, this paper serves as a compilation of results we need for other articles and also introduces several objects interesting by themselves. acknowledgement: The first author, Nikita Kalinin, is funded by SNCF PostDoc.Mobility grant 168647. Support from the Basic Research Program of the National Research University Higher School of Economics is gratefully acknowledged. The second author, Mikhail Shkolnikov, is supported in part by the grant 159240 of the Swiss National Science Foundation as well as by the National Center of Competence in Research SwissMAP of the Swiss National Science Foundation. article_processing_charge: No author: - first_name: Nikita full_name: Kalinin, Nikita last_name: Kalinin - first_name: Mikhail full_name: Shkolnikov, Mikhail id: 35084A62-F248-11E8-B48F-1D18A9856A87 last_name: Shkolnikov orcid: 0000-0002-4310-178X citation: ama: Kalinin N, Shkolnikov M. Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. 2018;38(6):2827-2849. doi:10.3934/dcds.2018120 apa: Kalinin, N., & Shkolnikov, M. (2018). Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. AIMS. https://doi.org/10.3934/dcds.2018120 chicago: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series and Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series A. AIMS, 2018. https://doi.org/10.3934/dcds.2018120. ieee: N. Kalinin and M. Shkolnikov, “Introduction to tropical series and wave dynamic on them,” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6. AIMS, pp. 2827–2849, 2018. ista: Kalinin N, Shkolnikov M. 2018. Introduction to tropical series and wave dynamic on them. Discrete and Continuous Dynamical Systems- Series A. 38(6), 2827–2849. mla: Kalinin, Nikita, and Mikhail Shkolnikov. “Introduction to Tropical Series and Wave Dynamic on Them.” Discrete and Continuous Dynamical Systems- Series A, vol. 38, no. 6, AIMS, 2018, pp. 2827–49, doi:10.3934/dcds.2018120. short: N. Kalinin, M. Shkolnikov, Discrete and Continuous Dynamical Systems- Series A 38 (2018) 2827–2849. date_created: 2018-12-11T11:45:43Z date_published: 2018-06-01T00:00:00Z date_updated: 2023-09-12T07:45:37Z day: '01' department: - _id: TaHa doi: 10.3934/dcds.2018120 external_id: arxiv: - '1706.03062' isi: - '000438818400007' intvolume: ' 38' isi: 1 issue: '6' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1706.03062 month: '06' oa: 1 oa_version: Submitted Version page: 2827 - 2849 publication: Discrete and Continuous Dynamical Systems- Series A publication_status: published publisher: AIMS publist_id: '7576' quality_controlled: '1' scopus_import: '1' status: public title: Introduction to tropical series and wave dynamic on them type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 38 year: '2018' ... --- _id: '14202' abstract: - lang: eng text: "Approximating a probability density in a tractable manner is a central task\r\nin Bayesian statistics. Variational Inference (VI) is a popular technique that\r\nachieves tractability by choosing a relatively simple variational family.\r\nBorrowing ideas from the classic boosting framework, recent approaches attempt\r\nto \\emph{boost} VI by replacing the selection of a single density with a\r\ngreedily constructed mixture of densities. In order to guarantee convergence,\r\nprevious works impose stringent assumptions that require significant effort for\r\npractitioners. Specifically, they require a custom implementation of the greedy\r\nstep (called the LMO) for every probabilistic model with respect to an\r\nunnatural variational family of truncated distributions. Our work fixes these\r\nissues with novel theoretical and algorithmic insights. On the theoretical\r\nside, we show that boosting VI satisfies a relaxed smoothness assumption which\r\nis sufficient for the convergence of the functional Frank-Wolfe (FW) algorithm.\r\nFurthermore, we rephrase the LMO problem and propose to maximize the Residual\r\nELBO (RELBO) which replaces the standard ELBO optimization in VI. These\r\ntheoretical enhancements allow for black box implementation of the boosting\r\nsubroutine. Finally, we present a stopping criterion drawn from the duality gap\r\nin the classic FW analyses and exhaustive experiments to illustrate the\r\nusefulness of our theoretical and algorithmic contributions." article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Gideon full_name: Dresdner, Gideon last_name: Dresdner - first_name: Rajiv full_name: Khanna, Rajiv last_name: Khanna - first_name: Isabel full_name: Valera, Isabel last_name: Valera - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. Boosting black box variational inference. In: Advances in Neural Information Processing Systems. Vol 31. Neural Information Processing Systems Foundation; 2018.' apa: 'Locatello, F., Dresdner, G., Khanna, R., Valera, I., & Rätsch, G. (2018). Boosting black box variational inference. In Advances in Neural Information Processing Systems (Vol. 31). Montreal, Canada: Neural Information Processing Systems Foundation.' chicago: Locatello, Francesco, Gideon Dresdner, Rajiv Khanna, Isabel Valera, and Gunnar Rätsch. “Boosting Black Box Variational Inference.” In Advances in Neural Information Processing Systems, Vol. 31. Neural Information Processing Systems Foundation, 2018. ieee: F. Locatello, G. Dresdner, R. Khanna, I. Valera, and G. Rätsch, “Boosting black box variational inference,” in Advances in Neural Information Processing Systems, Montreal, Canada, 2018, vol. 31. ista: 'Locatello F, Dresdner G, Khanna R, Valera I, Rätsch G. 2018. Boosting black box variational inference. Advances in Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 31.' mla: Locatello, Francesco, et al. “Boosting Black Box Variational Inference.” Advances in Neural Information Processing Systems, vol. 31, Neural Information Processing Systems Foundation, 2018. short: F. Locatello, G. Dresdner, R. Khanna, I. Valera, G. Rätsch, in:, Advances in Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2018. conference: end_date: 2018-12-08 location: Montreal, Canada name: 'NeurIPS: Neural Information Processing Systems' start_date: 2018-12-03 date_created: 2023-08-22T14:15:40Z date_published: 2018-06-06T00:00:00Z date_updated: 2023-09-13T07:38:24Z day: '06' department: - _id: FrLo extern: '1' external_id: arxiv: - '1806.02185' intvolume: ' 31' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.02185 month: '06' oa: 1 oa_version: Preprint publication: Advances in Neural Information Processing Systems publication_identifier: eissn: - 1049-5258 isbn: - '9781510884472' publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: Boosting black box variational inference type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 31 year: '2018' ... --- _id: '14201' abstract: - lang: eng text: "Variational inference is a popular technique to approximate a possibly\r\nintractable Bayesian posterior with a more tractable one. Recently, boosting\r\nvariational inference has been proposed as a new paradigm to approximate the\r\nposterior by a mixture of densities by greedily adding components to the\r\nmixture. However, as is the case with many other variational inference\r\nalgorithms, its theoretical properties have not been studied. In the present\r\nwork, we study the convergence properties of this approach from a modern\r\noptimization viewpoint by establishing connections to the classic Frank-Wolfe\r\nalgorithm. Our analyses yields novel theoretical insights regarding the\r\nsufficient conditions for convergence, explicit rates, and algorithmic\r\nsimplifications. Since a lot of focus in previous works for variational\r\ninference has been on tractability, our work is especially important as a much\r\nneeded attempt to bridge the gap between probabilistic models and their\r\ncorresponding theoretical properties." alternative_title: - PMLR article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Rajiv full_name: Khanna, Rajiv last_name: Khanna - first_name: Joydeep full_name: Ghosh, Joydeep last_name: Ghosh - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Locatello F, Khanna R, Ghosh J, Rätsch G. Boosting variational inference: An optimization perspective. In: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. Vol 84. ML Research Press; 2018:464-472.' apa: 'Locatello, F., Khanna, R., Ghosh, J., & Rätsch, G. (2018). Boosting variational inference: An optimization perspective. In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics (Vol. 84, pp. 464–472). Playa Blanca, Lanzarote: ML Research Press.' chicago: 'Locatello, Francesco, Rajiv Khanna, Joydeep Ghosh, and Gunnar Rätsch. “Boosting Variational Inference: An Optimization Perspective.” In Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, 84:464–72. ML Research Press, 2018.' ieee: 'F. Locatello, R. Khanna, J. Ghosh, and G. Rätsch, “Boosting variational inference: An optimization perspective,” in Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, Playa Blanca, Lanzarote, 2018, vol. 84, pp. 464–472.' ista: 'Locatello F, Khanna R, Ghosh J, Rätsch G. 2018. Boosting variational inference: An optimization perspective. Proceedings of the 21st International Conference on Artificial Intelligence and Statistics. AISTATS: Conference on Artificial Intelligence and Statistics, PMLR, vol. 84, 464–472.' mla: 'Locatello, Francesco, et al. “Boosting Variational Inference: An Optimization Perspective.” Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, vol. 84, ML Research Press, 2018, pp. 464–72.' short: F. Locatello, R. Khanna, J. Ghosh, G. Rätsch, in:, Proceedings of the 21st International Conference on Artificial Intelligence and Statistics, ML Research Press, 2018, pp. 464–472. conference: end_date: 2018-04-11 location: Playa Blanca, Lanzarote name: 'AISTATS: Conference on Artificial Intelligence and Statistics' start_date: 2018-04-09 date_created: 2023-08-22T14:15:20Z date_published: 2018-04-15T00:00:00Z date_updated: 2023-09-13T07:52:40Z day: '15' department: - _id: FrLo extern: '1' external_id: arxiv: - '1708.01733' intvolume: ' 84' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1708.01733 month: '04' oa: 1 oa_version: Preprint page: 464-472 publication: Proceedings of the 21st International Conference on Artificial Intelligence and Statistics publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: 'Boosting variational inference: An optimization perspective' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 84 year: '2018' ... --- _id: '14198' abstract: - lang: eng text: "High-dimensional time series are common in many domains. Since human\r\ncognition is not optimized to work well in high-dimensional spaces, these areas\r\ncould benefit from interpretable low-dimensional representations. However, most\r\nrepresentation learning algorithms for time series data are difficult to\r\ninterpret. This is due to non-intuitive mappings from data features to salient\r\nproperties of the representation and non-smoothness over time. To address this\r\nproblem, we propose a new representation learning framework building on ideas\r\nfrom interpretable discrete dimensionality reduction and deep generative\r\nmodeling. This framework allows us to learn discrete representations of time\r\nseries, which give rise to smooth and interpretable embeddings with superior\r\nclustering performance. We introduce a new way to overcome the\r\nnon-differentiability in discrete representation learning and present a\r\ngradient-based version of the traditional self-organizing map algorithm that is\r\nmore performant than the original. Furthermore, to allow for a probabilistic\r\ninterpretation of our method, we integrate a Markov model in the representation\r\nspace. This model uncovers the temporal transition structure, improves\r\nclustering performance even further and provides additional explanatory\r\ninsights as well as a natural representation of uncertainty. We evaluate our\r\nmodel in terms of clustering performance and interpretability on static\r\n(Fashion-)MNIST data, a time series of linearly interpolated (Fashion-)MNIST\r\nimages, a chaotic Lorenz attractor system with two macro states, as well as on\r\na challenging real world medical time series application on the eICU data set.\r\nOur learned representations compare favorably with competitor methods and\r\nfacilitate downstream tasks on the real world data." article_processing_charge: No author: - first_name: Vincent full_name: Fortuin, Vincent last_name: Fortuin - first_name: Matthias full_name: Hüser, Matthias last_name: Hüser - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Heiko full_name: Strathmann, Heiko last_name: Strathmann - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch citation: ama: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. SOM-VAE: Interpretable discrete representation learning on time series. In: International Conference on Learning Representations. ; 2018.' apa: 'Fortuin, V., Hüser, M., Locatello, F., Strathmann, H., & Rätsch, G. (2018). SOM-VAE: Interpretable discrete representation learning on time series. In International Conference on Learning Representations. New Orleans, LA, United States.' chicago: 'Fortuin, Vincent, Matthias Hüser, Francesco Locatello, Heiko Strathmann, and Gunnar Rätsch. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” In International Conference on Learning Representations, 2018.' ieee: 'V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, and G. Rätsch, “SOM-VAE: Interpretable discrete representation learning on time series,” in International Conference on Learning Representations, New Orleans, LA, United States, 2018.' ista: 'Fortuin V, Hüser M, Locatello F, Strathmann H, Rätsch G. 2018. SOM-VAE: Interpretable discrete representation learning on time series. International Conference on Learning Representations. ICLR: International Conference on Learning Representations.' mla: 'Fortuin, Vincent, et al. “SOM-VAE: Interpretable Discrete Representation Learning on Time Series.” International Conference on Learning Representations, 2018.' short: V. Fortuin, M. Hüser, F. Locatello, H. Strathmann, G. Rätsch, in:, International Conference on Learning Representations, 2018. conference: end_date: 2019-05-09 location: New Orleans, LA, United States name: 'ICLR: International Conference on Learning Representations' start_date: 2019-05-06 date_created: 2023-08-22T14:12:48Z date_published: 2018-06-06T00:00:00Z date_updated: 2023-09-13T06:35:12Z day: '06' department: - _id: FrLo extern: '1' external_id: arxiv: - '1806.02199' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.02199 month: '06' oa: 1 oa_version: Preprint publication: International Conference on Learning Representations publication_status: published quality_controlled: '1' status: public title: 'SOM-VAE: Interpretable discrete representation learning on time series' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '14203' abstract: - lang: eng text: We propose a conditional gradient framework for a composite convex minimization template with broad applications. Our approach combines smoothing and homotopy techniques under the CGM framework, and provably achieves the optimal O(1/k−−√) convergence rate. We demonstrate that the same rate holds if the linear subproblems are solved approximately with additive or multiplicative error. In contrast with the relevant work, we are able to characterize the convergence when the non-smooth term is an indicator function. Specific applications of our framework include the non-smooth minimization, semidefinite programming, and minimization with linear inclusion constraints over a compact domain. Numerical evidence demonstrates the benefits of our framework. alternative_title: - PMLR article_processing_charge: No author: - first_name: Alp full_name: Yurtsever, Alp last_name: Yurtsever - first_name: Olivier full_name: Fercoq, Olivier last_name: Fercoq - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Volkan full_name: Cevher, Volkan last_name: Cevher citation: ama: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:5727-5736.' apa: 'Yurtsever, A., Fercoq, O., Locatello, F., & Cevher, V. (2018). A conditional gradient framework for composite convex minimization with applications to semidefinite programming. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 5727–5736). Stockholm, Sweden: ML Research Press.' chicago: Yurtsever, Alp, Olivier Fercoq, Francesco Locatello, and Volkan Cevher. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” In Proceedings of the 35th International Conference on Machine Learning, 80:5727–36. ML Research Press, 2018. ieee: A. Yurtsever, O. Fercoq, F. Locatello, and V. Cevher, “A conditional gradient framework for composite convex minimization with applications to semidefinite programming,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 5727–5736. ista: 'Yurtsever A, Fercoq O, Locatello F, Cevher V. 2018. A conditional gradient framework for composite convex minimization with applications to semidefinite programming. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning, PMLR, vol. 80, 5727–5736.' mla: Yurtsever, Alp, et al. “A Conditional Gradient Framework for Composite Convex Minimization with Applications to Semidefinite Programming.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 5727–36. short: A. Yurtsever, O. Fercoq, F. Locatello, V. Cevher, in:, Proceedings of the 35th International Conference on Machine Learning, ML Research Press, 2018, pp. 5727–5736. conference: end_date: 2018-07-15 location: Stockholm, Sweden name: 'ICML: International Conference on Machine Learning' start_date: 2018-07-10 date_created: 2023-08-22T14:16:01Z date_published: 2018-07-15T00:00:00Z date_updated: 2023-09-13T08:13:39Z day: '15' department: - _id: FrLo extern: '1' external_id: arxiv: - '1804.08544' intvolume: ' 80' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1804.08544 month: '07' oa: 1 oa_version: Preprint page: 5727-5736 publication: Proceedings of the 35th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' status: public title: A conditional gradient framework for composite convex minimization with applications to semidefinite programming type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '282' abstract: - lang: eng text: Adaptive introgression is common in nature and can be driven by selection acting on multiple, linked genes. We explore the effects of polygenic selection on introgression under the infinitesimal model with linkage. This model assumes that the introgressing block has an effectively infinite number of genes, each with an infinitesimal effect on the trait under selection. The block is assumed to introgress under directional selection within a native population that is genetically homogeneous. We use individual-based simulations and a branching process approximation to compute various statistics of the introgressing block, and explore how these depend on parameters such as the map length and initial trait value associated with the introgressing block, the genetic variability along the block, and the strength of selection. Our results show that the introgression dynamics of a block under infinitesimal selection is qualitatively different from the dynamics of neutral introgression. We also find that in the long run, surviving descendant blocks are likely to have intermediate lengths, and clarify how the length is shaped by the interplay between linkage and infinitesimal selection. Our results suggest that it may be difficult to distinguish introgression of single loci from that of genomic blocks with multiple, tightly linked and weakly selected loci. article_processing_charge: No author: - first_name: Himani full_name: Sachdeva, Himani id: 42377A0A-F248-11E8-B48F-1D18A9856A87 last_name: Sachdeva - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Sachdeva H, Barton NH. Introgression of a block of genome under infinitesimal selection. Genetics. 2018;209(4):1279-1303. doi:10.1534/genetics.118.301018 apa: Sachdeva, H., & Barton, N. H. (2018). Introgression of a block of genome under infinitesimal selection. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.118.301018 chicago: Sachdeva, Himani, and Nicholas H Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics. Genetics Society of America, 2018. https://doi.org/10.1534/genetics.118.301018. ieee: H. Sachdeva and N. H. Barton, “Introgression of a block of genome under infinitesimal selection,” Genetics, vol. 209, no. 4. Genetics Society of America, pp. 1279–1303, 2018. ista: Sachdeva H, Barton NH. 2018. Introgression of a block of genome under infinitesimal selection. Genetics. 209(4), 1279–1303. mla: Sachdeva, Himani, and Nicholas H. Barton. “Introgression of a Block of Genome under Infinitesimal Selection.” Genetics, vol. 209, no. 4, Genetics Society of America, 2018, pp. 1279–303, doi:10.1534/genetics.118.301018. short: H. Sachdeva, N.H. Barton, Genetics 209 (2018) 1279–1303. date_created: 2018-12-11T11:45:36Z date_published: 2018-08-01T00:00:00Z date_updated: 2023-09-13T08:22:32Z day: '01' department: - _id: NiBa doi: 10.1534/genetics.118.301018 external_id: isi: - '000440014100020' intvolume: ' 209' isi: 1 issue: '4' language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/early/2017/11/30/227082 month: '08' oa: 1 oa_version: Submitted Version page: 1279 - 1303 publication: Genetics publication_status: published publisher: Genetics Society of America publist_id: '7617' quality_controlled: '1' scopus_import: '1' status: public title: Introgression of a block of genome under infinitesimal selection type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 209 year: '2018' ... --- _id: '108' abstract: - lang: eng text: Universal hashing found a lot of applications in computer science. In cryptography the most important fact about universal families is the so called Leftover Hash Lemma, proved by Impagliazzo, Levin and Luby. In the language of modern cryptography it states that almost universal families are good extractors. In this work we provide a somewhat surprising characterization in the opposite direction. Namely, every extractor with sufficiently good parameters yields a universal family on a noticeable fraction of its inputs. Our proof technique is based on tools from extremal graph theory applied to the \'collision graph\' induced by the extractor, and may be of independent interest. We discuss possible applications to the theory of randomness extractors and non-malleable codes. alternative_title: - ISIT Proceedings article_processing_charge: No author: - first_name: Marciej full_name: Obremski, Marciej last_name: Obremski - first_name: Maciej full_name: Skorski, Maciej id: EC09FA6A-02D0-11E9-8223-86B7C91467DD last_name: Skorski citation: ama: 'Obremski M, Skórski M. Inverted leftover hash lemma. In: Vol 2018. IEEE; 2018. doi:10.1109/ISIT.2018.8437654' apa: 'Obremski, M., & Skórski, M. (2018). Inverted leftover hash lemma (Vol. 2018). Presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA: IEEE. https://doi.org/10.1109/ISIT.2018.8437654' chicago: Obremski, Marciej, and Maciej Skórski. “Inverted Leftover Hash Lemma,” Vol. 2018. IEEE, 2018. https://doi.org/10.1109/ISIT.2018.8437654. ieee: 'M. Obremski and M. Skórski, “Inverted leftover hash lemma,” presented at the ISIT: International Symposium on Information Theory, Vail, CO, USA, 2018, vol. 2018.' ista: 'Obremski M, Skórski M. 2018. Inverted leftover hash lemma. ISIT: International Symposium on Information Theory, ISIT Proceedings, vol. 2018.' mla: Obremski, Marciej, and Maciej Skórski. Inverted Leftover Hash Lemma. Vol. 2018, IEEE, 2018, doi:10.1109/ISIT.2018.8437654. short: M. Obremski, M. Skórski, in:, IEEE, 2018. conference: end_date: 2018-06-22 location: Vail, CO, USA name: 'ISIT: International Symposium on Information Theory' start_date: '2018-06-17 ' date_created: 2018-12-11T11:44:40Z date_published: 2018-08-16T00:00:00Z date_updated: 2023-09-13T08:23:18Z day: '16' department: - _id: KrPi doi: 10.1109/ISIT.2018.8437654 external_id: isi: - '000448139300368' intvolume: ' 2018' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://eprint.iacr.org/2017/507 month: '08' oa: 1 oa_version: Submitted Version publication_status: published publisher: IEEE publist_id: '7946' quality_controlled: '1' scopus_import: '1' status: public title: Inverted leftover hash lemma type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 2018 year: '2018' ... --- _id: '14204' abstract: - lang: eng text: Two popular examples of first-order optimization methods over linear spaces are coordinate descent and matching pursuit algorithms, with their randomized variants. While the former targets the optimization by moving along coordinates, the latter considers a generalized notion of directions. Exploiting the connection between the two algorithms, we present a unified analysis of both, providing affine invariant sublinear O(1/t) rates on smooth objectives and linear convergence on strongly convex objectives. As a byproduct of our affine invariant analysis of matching pursuit, our rates for steepest coordinate descent are the tightest known. Furthermore, we show the first accelerated convergence rate O(1/t2) for matching pursuit and steepest coordinate descent on convex objectives. alternative_title: - PMLR article_processing_charge: No author: - first_name: Francesco full_name: Locatello, Francesco id: 26cfd52f-2483-11ee-8040-88983bcc06d4 last_name: Locatello orcid: 0000-0002-4850-0683 - first_name: Anant full_name: Raj, Anant last_name: Raj - first_name: Sai Praneeth full_name: Karimireddy, Sai Praneeth last_name: Karimireddy - first_name: Gunnar full_name: Rätsch, Gunnar last_name: Rätsch - first_name: Bernhard full_name: Schölkopf, Bernhard last_name: Schölkopf - first_name: Sebastian U. full_name: Stich, Sebastian U. last_name: Stich - first_name: Martin full_name: Jaggi, Martin last_name: Jaggi citation: ama: 'Locatello F, Raj A, Karimireddy SP, et al. On matching pursuit and coordinate descent. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:3198-3207.' apa: Locatello, F., Raj, A., Karimireddy, S. P., Rätsch, G., Schölkopf, B., Stich, S. U., & Jaggi, M. (2018). On matching pursuit and coordinate descent. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 3198–3207). ML Research Press. chicago: Locatello, Francesco, Anant Raj, Sai Praneeth Karimireddy, Gunnar Rätsch, Bernhard Schölkopf, Sebastian U. Stich, and Martin Jaggi. “On Matching Pursuit and Coordinate Descent.” In Proceedings of the 35th International Conference on Machine Learning, 80:3198–3207. ML Research Press, 2018. ieee: F. Locatello et al., “On matching pursuit and coordinate descent,” in Proceedings of the 35th International Conference on Machine Learning, 2018, vol. 80, pp. 3198–3207. ista: Locatello F, Raj A, Karimireddy SP, Rätsch G, Schölkopf B, Stich SU, Jaggi M. 2018. On matching pursuit and coordinate descent. Proceedings of the 35th International Conference on Machine Learning. , PMLR, vol. 80, 3198–3207. mla: Locatello, Francesco, et al. “On Matching Pursuit and Coordinate Descent.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 3198–207. short: F. Locatello, A. Raj, S.P. Karimireddy, G. Rätsch, B. Schölkopf, S.U. Stich, M. Jaggi, in:, Proceedings of the 35th International Conference on Machine Learning, ML Research Press, 2018, pp. 3198–3207. date_created: 2023-08-22T14:16:25Z date_published: 2018-07-01T00:00:00Z date_updated: 2023-09-13T08:19:05Z day: '01' department: - _id: FrLo extern: '1' external_id: arxiv: - '1803.09539' intvolume: ' 80' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1803.09539 month: '07' oa: 1 oa_version: Preprint page: 3198-3207 publication: Proceedings of the 35th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: On matching pursuit and coordinate descent type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '160' abstract: - lang: eng text: We present layered concurrent programs, a compact and expressive notation for specifying refinement proofs of concurrent programs. A layered concurrent program specifies a sequence of connected concurrent programs, from most concrete to most abstract, such that common parts of different programs are written exactly once. These programs are expressed in the ordinary syntax of imperative concurrent programs using gated atomic actions, sequencing, choice, and (recursive) procedure calls. Each concurrent program is automatically extracted from the layered program. We reduce refinement to the safety of a sequence of concurrent checker programs, one each to justify the connection between every two consecutive concurrent programs. These checker programs are also automatically extracted from the layered program. Layered concurrent programs have been implemented in the CIVL verifier which has been successfully used for the verification of several complex concurrent programs. alternative_title: - LNCS article_processing_charge: No author: - first_name: Bernhard full_name: Kragl, Bernhard id: 320FC952-F248-11E8-B48F-1D18A9856A87 last_name: Kragl orcid: 0000-0001-7745-9117 - first_name: Shaz full_name: Qadeer, Shaz last_name: Qadeer citation: ama: 'Kragl B, Qadeer S. Layered Concurrent Programs. In: Vol 10981. Springer; 2018:79-102. doi:10.1007/978-3-319-96145-3_5' apa: 'Kragl, B., & Qadeer, S. (2018). Layered Concurrent Programs (Vol. 10981, pp. 79–102). Presented at the CAV: Computer Aided Verification, Oxford, UK: Springer. https://doi.org/10.1007/978-3-319-96145-3_5' chicago: Kragl, Bernhard, and Shaz Qadeer. “Layered Concurrent Programs,” 10981:79–102. Springer, 2018. https://doi.org/10.1007/978-3-319-96145-3_5. ieee: 'B. Kragl and S. Qadeer, “Layered Concurrent Programs,” presented at the CAV: Computer Aided Verification, Oxford, UK, 2018, vol. 10981, pp. 79–102.' ista: 'Kragl B, Qadeer S. 2018. Layered Concurrent Programs. CAV: Computer Aided Verification, LNCS, vol. 10981, 79–102.' mla: Kragl, Bernhard, and Shaz Qadeer. Layered Concurrent Programs. Vol. 10981, Springer, 2018, pp. 79–102, doi:10.1007/978-3-319-96145-3_5. short: B. Kragl, S. Qadeer, in:, Springer, 2018, pp. 79–102. conference: end_date: 2018-07-17 location: Oxford, UK name: 'CAV: Computer Aided Verification' start_date: 2018-07-14 date_created: 2018-12-11T11:44:57Z date_published: 2018-07-18T00:00:00Z date_updated: 2023-09-13T08:45:09Z day: '18' ddc: - '000' department: - _id: ToHe doi: 10.1007/978-3-319-96145-3_5 external_id: isi: - '000491481600005' file: - access_level: open_access checksum: c64fff560fe5a7532ec10626ad1c215e content_type: application/pdf creator: dernst date_created: 2018-12-17T12:52:12Z date_updated: 2020-07-14T12:45:04Z file_id: '5705' file_name: 2018_LNCS_Kragl.pdf file_size: 1603844 relation: main_file file_date_updated: 2020-07-14T12:45:04Z has_accepted_license: '1' intvolume: ' 10981' isi: 1 language: - iso: eng month: '07' oa: 1 oa_version: Published Version page: 79 - 102 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 25832EC2-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: S 11407_N23 name: Rigorous Systems Engineering publication_status: published publisher: Springer publist_id: '7761' quality_controlled: '1' related_material: record: - id: '8332' relation: dissertation_contains status: public scopus_import: '1' status: public title: Layered Concurrent Programs tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 10981 year: '2018' ... --- _id: '82' abstract: - lang: eng text: In experimental cultures, when bacteria are mixed with lytic (virulent) bacteriophage, bacterial cells resistant to the phage commonly emerge and become the dominant population of bacteria. Following the ascent of resistant mutants, the densities of bacteria in these simple communities become limited by resources rather than the phage. Despite the evolution of resistant hosts, upon which the phage cannot replicate, the lytic phage population is most commonly maintained in an apparently stable state with the resistant bacteria. Several mechanisms have been put forward to account for this result. Here we report the results of population dynamic/evolution experiments with a virulent mutant of phage Lambda, λVIR, and Escherichia coli in serial transfer cultures. We show that, following the ascent of λVIR-resistant bacteria, λVIRis maintained in the majority of cases in maltose-limited minimal media and in all cases in nutrient-rich broth. Using mathematical models and experiments, we show that the dominant mechanism responsible for maintenance of λVIRin these resource-limited populations dominated by resistant E. coli is a high rate of either phenotypic or genetic transition from resistance to susceptibility—a hitherto undemonstrated mechanism we term "leaky resistance." We discuss the implications of leaky resistance to our understanding of the conditions for the maintenance of phage in populations of bacteria—their “existence conditions.”. article_number: '2005971' article_processing_charge: Yes author: - first_name: Waqas full_name: Chaudhry, Waqas last_name: Chaudhry - first_name: Maros full_name: Pleska, Maros id: 4569785E-F248-11E8-B48F-1D18A9856A87 last_name: Pleska orcid: 0000-0001-7460-7479 - first_name: Nilang full_name: Shah, Nilang last_name: Shah - first_name: Howard full_name: Weiss, Howard last_name: Weiss - first_name: Ingrid full_name: Mccall, Ingrid last_name: Mccall - first_name: Justin full_name: Meyer, Justin last_name: Meyer - first_name: Animesh full_name: Gupta, Animesh last_name: Gupta - first_name: Calin C full_name: Guet, Calin C id: 47F8433E-F248-11E8-B48F-1D18A9856A87 last_name: Guet orcid: 0000-0001-6220-2052 - first_name: Bruce full_name: Levin, Bruce last_name: Levin citation: ama: Chaudhry W, Pleska M, Shah N, et al. Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. 2018;16(8). doi:10.1371/journal.pbio.2005971 apa: Chaudhry, W., Pleska, M., Shah, N., Weiss, H., Mccall, I., Meyer, J., … Levin, B. (2018). Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2005971 chicago: Chaudhry, Waqas, Maros Pleska, Nilang Shah, Howard Weiss, Ingrid Mccall, Justin Meyer, Animesh Gupta, Calin C Guet, and Bruce Levin. “Leaky Resistance and the Conditions for the Existence of Lytic Bacteriophage.” PLoS Biology. Public Library of Science, 2018. https://doi.org/10.1371/journal.pbio.2005971. ieee: W. Chaudhry et al., “Leaky resistance and the conditions for the existence of lytic bacteriophage,” PLoS Biology, vol. 16, no. 8. Public Library of Science, 2018. ista: Chaudhry W, Pleska M, Shah N, Weiss H, Mccall I, Meyer J, Gupta A, Guet CC, Levin B. 2018. Leaky resistance and the conditions for the existence of lytic bacteriophage. PLoS Biology. 16(8), 2005971. mla: Chaudhry, Waqas, et al. “Leaky Resistance and the Conditions for the Existence of Lytic Bacteriophage.” PLoS Biology, vol. 16, no. 8, 2005971, Public Library of Science, 2018, doi:10.1371/journal.pbio.2005971. short: W. Chaudhry, M. Pleska, N. Shah, H. Weiss, I. Mccall, J. Meyer, A. Gupta, C.C. Guet, B. Levin, PLoS Biology 16 (2018). date_created: 2018-12-11T11:44:32Z date_published: 2018-08-16T00:00:00Z date_updated: 2023-09-13T08:45:41Z day: '16' ddc: - '570' department: - _id: CaGu doi: 10.1371/journal.pbio.2005971 external_id: isi: - '000443383300024' file: - access_level: open_access checksum: 527076f78265cd4ea192cd1569851587 content_type: application/pdf creator: dernst date_created: 2018-12-17T12:55:31Z date_updated: 2020-07-14T12:48:10Z file_id: '5706' file_name: 2018_Plos_Chaudhry.pdf file_size: 4007095 relation: main_file file_date_updated: 2020-07-14T12:48:10Z has_accepted_license: '1' intvolume: ' 16' isi: 1 issue: '8' language: - iso: eng month: '08' oa: 1 oa_version: Published Version publication: PLoS Biology publication_status: published publisher: Public Library of Science publist_id: '7972' quality_controlled: '1' related_material: record: - id: '9810' relation: research_data status: public scopus_import: '1' status: public title: Leaky resistance and the conditions for the existence of lytic bacteriophage tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 16 year: '2018' ... --- _id: '4' abstract: - lang: eng text: We present a data-driven technique to instantly predict how fluid flows around various three-dimensional objects. Such simulation is useful for computational fabrication and engineering, but is usually computationally expensive since it requires solving the Navier-Stokes equation for many time steps. To accelerate the process, we propose a machine learning framework which predicts aerodynamic forces and velocity and pressure fields given a threedimensional shape input. Handling detailed free-form three-dimensional shapes in a data-driven framework is challenging because machine learning approaches usually require a consistent parametrization of input and output. We present a novel PolyCube maps-based parametrization that can be computed for three-dimensional shapes at interactive rates. This allows us to efficiently learn the nonlinear response of the flow using a Gaussian process regression. We demonstrate the effectiveness of our approach for the interactive design and optimization of a car body. article_number: '89' article_processing_charge: No author: - first_name: Nobuyuki full_name: Umetani, Nobuyuki last_name: Umetani - first_name: Bernd full_name: Bickel, Bernd id: 49876194-F248-11E8-B48F-1D18A9856A87 last_name: Bickel orcid: 0000-0001-6511-9385 citation: ama: Umetani N, Bickel B. Learning three-dimensional flow for interactive aerodynamic design. ACM Trans Graph. 2018;37(4). doi:10.1145/3197517.3201325 apa: Umetani, N., & Bickel, B. (2018). Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. ACM. https://doi.org/10.1145/3197517.3201325 chicago: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for Interactive Aerodynamic Design.” ACM Trans. Graph. ACM, 2018. https://doi.org/10.1145/3197517.3201325. ieee: N. Umetani and B. Bickel, “Learning three-dimensional flow for interactive aerodynamic design,” ACM Trans. Graph., vol. 37, no. 4. ACM, 2018. ista: Umetani N, Bickel B. 2018. Learning three-dimensional flow for interactive aerodynamic design. ACM Trans. Graph. 37(4), 89. mla: Umetani, Nobuyuki, and Bernd Bickel. “Learning Three-Dimensional Flow for Interactive Aerodynamic Design.” ACM Trans. Graph., vol. 37, no. 4, 89, ACM, 2018, doi:10.1145/3197517.3201325. short: N. Umetani, B. Bickel, ACM Trans. Graph. 37 (2018). date_created: 2018-12-11T11:44:06Z date_published: 2018-08-04T00:00:00Z date_updated: 2023-09-13T08:46:15Z day: '04' ddc: - '003' - '004' department: - _id: BeBi doi: 10.1145/3197517.3201325 ec_funded: 1 external_id: isi: - '000448185000050' file: - access_level: open_access checksum: 7a2243668f215821bc6aecad0320079a content_type: application/pdf creator: system date_created: 2018-12-12T10:16:28Z date_updated: 2020-07-14T12:46:22Z file_id: '5216' file_name: IST-2018-1049-v1+1_2018_sigg_Learning3DAerodynamics.pdf file_size: 22803163 relation: main_file file_date_updated: 2020-07-14T12:46:22Z has_accepted_license: '1' intvolume: ' 37' isi: 1 issue: '4' language: - iso: eng month: '08' oa: 1 oa_version: Submitted Version project: - _id: 24F9549A-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '715767' name: 'MATERIALIZABLE: Intelligent fabrication-oriented Computational Design and Modeling' publication: ACM Trans. Graph. publication_status: published publisher: ACM publist_id: '8053' pubrep_id: '1049' quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/new-interactive-machine-learning-tool-makes-car-designs-more-aerodynamic/ scopus_import: '1' status: public title: Learning three-dimensional flow for interactive aerodynamic design type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 37 year: '2018' ... --- _id: '566' abstract: - lang: eng text: "We consider large random matrices X with centered, independent entries which have comparable but not necessarily identical variances. Girko's circular law asserts that the spectrum is supported in a disk and in case of identical variances, the limiting density is uniform. In this special case, the local circular law by Bourgade et. al. [11,12] shows that the empirical density converges even locally on scales slightly above the typical eigenvalue spacing. In the general case, the limiting density is typically inhomogeneous and it is obtained via solving a system of deterministic equations. Our main result is the local inhomogeneous circular law in the bulk spectrum on the optimal scale for a general variance profile of the entries of X. \r\n\r\n" article_processing_charge: No article_type: original author: - first_name: Johannes full_name: Alt, Johannes id: 36D3D8B6-F248-11E8-B48F-1D18A9856A87 last_name: Alt - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 - first_name: Torben H full_name: Krüger, Torben H id: 3020C786-F248-11E8-B48F-1D18A9856A87 last_name: Krüger orcid: 0000-0002-4821-3297 citation: ama: Alt J, Erdös L, Krüger TH. Local inhomogeneous circular law. Annals Applied Probability . 2018;28(1):148-203. doi:10.1214/17-AAP1302 apa: Alt, J., Erdös, L., & Krüger, T. H. (2018). Local inhomogeneous circular law. Annals Applied Probability . Institute of Mathematical Statistics. https://doi.org/10.1214/17-AAP1302 chicago: Alt, Johannes, László Erdös, and Torben H Krüger. “Local Inhomogeneous Circular Law.” Annals Applied Probability . Institute of Mathematical Statistics, 2018. https://doi.org/10.1214/17-AAP1302. ieee: J. Alt, L. Erdös, and T. H. Krüger, “Local inhomogeneous circular law,” Annals Applied Probability , vol. 28, no. 1. Institute of Mathematical Statistics, pp. 148–203, 2018. ista: Alt J, Erdös L, Krüger TH. 2018. Local inhomogeneous circular law. Annals Applied Probability . 28(1), 148–203. mla: Alt, Johannes, et al. “Local Inhomogeneous Circular Law.” Annals Applied Probability , vol. 28, no. 1, Institute of Mathematical Statistics, 2018, pp. 148–203, doi:10.1214/17-AAP1302. short: J. Alt, L. Erdös, T.H. Krüger, Annals Applied Probability 28 (2018) 148–203. date_created: 2018-12-11T11:47:13Z date_published: 2018-03-03T00:00:00Z date_updated: 2023-09-13T08:47:52Z day: '03' department: - _id: LaEr doi: 10.1214/17-AAP1302 ec_funded: 1 external_id: arxiv: - '1612.07776 ' isi: - '000431721800005' intvolume: ' 28' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: 'https://arxiv.org/abs/1612.07776 ' month: '03' oa: 1 oa_version: Preprint page: 148-203 project: - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems publication: 'Annals Applied Probability ' publication_status: published publisher: Institute of Mathematical Statistics quality_controlled: '1' related_material: record: - id: '149' relation: dissertation_contains status: public scopus_import: '1' status: public title: Local inhomogeneous circular law type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 28 year: '2018' ... --- _id: '106' abstract: - lang: eng text: The goal of this article is to introduce the reader to the theory of intrinsic geometry of convex surfaces. We illustrate the power of the tools by proving a theorem on convex surfaces containing an arbitrarily long closed simple geodesic. Let us remind ourselves that a curve in a surface is called geodesic if every sufficiently short arc of the curve is length minimizing; if, in addition, it has no self-intersections, we call it simple geodesic. A tetrahedron with equal opposite edges is called isosceles. The axiomatic method of Alexandrov geometry allows us to work with the metrics of convex surfaces directly, without approximating it first by a smooth or polyhedral metric. Such approximations destroy the closed geodesics on the surface; therefore it is difficult (if at all possible) to apply approximations in the proof of our theorem. On the other hand, a proof in the smooth or polyhedral case usually admits a translation into Alexandrov’s language; such translation makes the result more general. In fact, our proof resembles a translation of the proof given by Protasov. Note that the main theorem implies in particular that a smooth convex surface does not have arbitrarily long simple closed geodesics. However we do not know a proof of this corollary that is essentially simpler than the one presented below. article_processing_charge: No author: - first_name: Arseniy full_name: Akopyan, Arseniy id: 430D2C90-F248-11E8-B48F-1D18A9856A87 last_name: Akopyan orcid: 0000-0002-2548-617X - first_name: Anton full_name: Petrunin, Anton last_name: Petrunin citation: ama: Akopyan A, Petrunin A. Long geodesics on convex surfaces. Mathematical Intelligencer. 2018;40(3):26-31. doi:10.1007/s00283-018-9795-5 apa: Akopyan, A., & Petrunin, A. (2018). Long geodesics on convex surfaces. Mathematical Intelligencer. Springer. https://doi.org/10.1007/s00283-018-9795-5 chicago: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.” Mathematical Intelligencer. Springer, 2018. https://doi.org/10.1007/s00283-018-9795-5. ieee: A. Akopyan and A. Petrunin, “Long geodesics on convex surfaces,” Mathematical Intelligencer, vol. 40, no. 3. Springer, pp. 26–31, 2018. ista: Akopyan A, Petrunin A. 2018. Long geodesics on convex surfaces. Mathematical Intelligencer. 40(3), 26–31. mla: Akopyan, Arseniy, and Anton Petrunin. “Long Geodesics on Convex Surfaces.” Mathematical Intelligencer, vol. 40, no. 3, Springer, 2018, pp. 26–31, doi:10.1007/s00283-018-9795-5. short: A. Akopyan, A. Petrunin, Mathematical Intelligencer 40 (2018) 26–31. date_created: 2018-12-11T11:44:40Z date_published: 2018-09-01T00:00:00Z date_updated: 2023-09-13T08:49:16Z day: '01' department: - _id: HeEd doi: 10.1007/s00283-018-9795-5 external_id: arxiv: - '1702.05172' isi: - '000444141200005' intvolume: ' 40' isi: 1 issue: '3' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1702.05172 month: '09' oa: 1 oa_version: Preprint page: 26 - 31 publication: Mathematical Intelligencer publication_status: published publisher: Springer publist_id: '7948' quality_controlled: '1' scopus_import: '1' status: public title: Long geodesics on convex surfaces type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 40 year: '2018' ...