--- _id: '691' abstract: - lang: eng text: "Background: Transport protein particle (TRAPP) is a multisubunit complex that regulates membrane trafficking through the Golgi apparatus. The clinical phenotype associated with mutations in various TRAPP subunits has allowed elucidation of their functions in specific tissues. The role of some subunits in human disease, however, has not been fully established, and their functions remain uncertain.\r\n\r\nObjective: We aimed to expand the range of neurodevelopmental disorders associated with mutations in TRAPP subunits by exome sequencing of consanguineous families.\r\n\r\nMethods: Linkage and homozygosity mapping and candidate gene analysis were used to identify homozygous mutations in families. Patient fibroblasts were used to study splicing defect and zebrafish to model the disease.\r\n\r\nResults: We identified six individuals from three unrelated families with a founder homozygous splice mutation in TRAPPC6B, encoding a core subunit of the complex TRAPP I. Patients manifested a neurodevelopmental disorder characterised by microcephaly, epilepsy and autistic features, and showed splicing defect. Zebrafish trappc6b morphants replicated the human phenotype, displaying decreased head size and neuronal hyperexcitability, leading to a lower seizure threshold.\r\n\r\nConclusion: This study provides clinical and functional evidence of the role of TRAPPC6B in brain development and function." article_processing_charge: No article_type: original author: - first_name: Isaac full_name: Marin Valencia, Isaac last_name: Marin Valencia - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 - first_name: Anide full_name: Johansen, Anide last_name: Johansen - first_name: Başak full_name: Rosti, Başak last_name: Rosti - first_name: Mahmoud full_name: Issa, Mahmoud last_name: Issa - first_name: Damir full_name: Musaev, Damir last_name: Musaev - first_name: Gifty full_name: Bhat, Gifty last_name: Bhat - first_name: Eric full_name: Scott, Eric last_name: Scott - first_name: Jennifer full_name: Silhavy, Jennifer last_name: Silhavy - first_name: Valentina full_name: Stanley, Valentina last_name: Stanley - first_name: Rasim full_name: Rosti, Rasim last_name: Rosti - first_name: Jeremy full_name: Gleeson, Jeremy last_name: Gleeson - first_name: Farhad full_name: Imam, Farhad last_name: Imam - first_name: Maha full_name: Zaki, Maha last_name: Zaki - first_name: Joseph full_name: Gleeson, Joseph last_name: Gleeson citation: ama: Marin Valencia I, Novarino G, Johansen A, et al. A homozygous founder mutation in TRAPPC6B associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features. Journal of Medical Genetics. 2018;55(1):48-54. doi:10.1136/jmedgenet-2017-104627 apa: Marin Valencia, I., Novarino, G., Johansen, A., Rosti, B., Issa, M., Musaev, D., … Gleeson, J. (2018). A homozygous founder mutation in TRAPPC6B associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features. Journal of Medical Genetics. BMJ Publishing Group. https://doi.org/10.1136/jmedgenet-2017-104627 chicago: Marin Valencia, Isaac, Gaia Novarino, Anide Johansen, Başak Rosti, Mahmoud Issa, Damir Musaev, Gifty Bhat, et al. “A Homozygous Founder Mutation in TRAPPC6B Associates with a Neurodevelopmental Disorder Characterised by Microcephaly Epilepsy and Autistic Features.” Journal of Medical Genetics. BMJ Publishing Group, 2018. https://doi.org/10.1136/jmedgenet-2017-104627. ieee: I. Marin Valencia et al., “A homozygous founder mutation in TRAPPC6B associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features,” Journal of Medical Genetics, vol. 55, no. 1. BMJ Publishing Group, pp. 48–54, 2018. ista: Marin Valencia I, Novarino G, Johansen A, Rosti B, Issa M, Musaev D, Bhat G, Scott E, Silhavy J, Stanley V, Rosti R, Gleeson J, Imam F, Zaki M, Gleeson J. 2018. A homozygous founder mutation in TRAPPC6B associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features. Journal of Medical Genetics. 55(1), 48–54. mla: Marin Valencia, Isaac, et al. “A Homozygous Founder Mutation in TRAPPC6B Associates with a Neurodevelopmental Disorder Characterised by Microcephaly Epilepsy and Autistic Features.” Journal of Medical Genetics, vol. 55, no. 1, BMJ Publishing Group, 2018, pp. 48–54, doi:10.1136/jmedgenet-2017-104627. short: I. Marin Valencia, G. Novarino, A. Johansen, B. Rosti, M. Issa, D. Musaev, G. Bhat, E. Scott, J. Silhavy, V. Stanley, R. Rosti, J. Gleeson, F. Imam, M. Zaki, J. Gleeson, Journal of Medical Genetics 55 (2018) 48–54. date_created: 2018-12-11T11:47:57Z date_published: 2018-01-01T00:00:00Z date_updated: 2023-10-16T09:55:43Z day: '01' department: - _id: GaNo doi: 10.1136/jmedgenet-2017-104627 external_id: isi: - '000418199800007' pmid: - '28626029' intvolume: ' 55' isi: 1 issue: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6056005/ month: '01' oa: 1 oa_version: Submitted Version page: 48 - 54 pmid: 1 project: - _id: 254BA948-B435-11E9-9278-68D0E5697425 grant_number: '401299' name: Probing development and reversibility of autism spectrum disorders publication: Journal of Medical Genetics publication_identifier: issn: - 0022-2593 publication_status: published publisher: BMJ Publishing Group publist_id: '7016' quality_controlled: '1' scopus_import: '1' status: public title: A homozygous founder mutation in TRAPPC6B associates with a neurodevelopmental disorder characterised by microcephaly epilepsy and autistic features type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 55 year: '2018' ... --- _id: '284' abstract: - lang: eng text: "Borel probability measures living on metric spaces are fundamental\r\nmathematical objects. There are several meaningful distance functions that make the collection of the probability measures living on a certain space a metric space. We are interested in the description of the structure of the isometries of such metric spaces. We overview some of the recent results of the topic and we also provide some new ones concerning the Wasserstein distance. More specifically, we consider the space of all Borel probability measures on the unit sphere of a Euclidean space endowed with the Wasserstein metric W_p for arbitrary p >= 1, and we show that the action of a Wasserstein isometry on the set of Dirac measures is induced by an isometry of the underlying unit sphere." acknowledgement: The author was supported by the ISTFELLOW program of the Institute of Science and Technol- ogy Austria (project code IC1027FELL01) and partially supported by the Hungarian National Research, Development and Innovation Office, NKFIH (grant no. K124152). article_processing_charge: No article_type: original author: - first_name: Daniel full_name: Virosztek, Daniel id: 48DB45DA-F248-11E8-B48F-1D18A9856A87 last_name: Virosztek orcid: 0000-0003-1109-5511 citation: ama: Virosztek D. Maps on probability measures preserving certain distances - a survey and some new results. Acta Scientiarum Mathematicarum. 2018;84(1-2):65-80. doi:10.14232/actasm-018-753-y apa: Virosztek, D. (2018). Maps on probability measures preserving certain distances - a survey and some new results. Acta Scientiarum Mathematicarum. Springer Nature. https://doi.org/10.14232/actasm-018-753-y chicago: Virosztek, Daniel. “Maps on Probability Measures Preserving Certain Distances - a Survey and Some New Results.” Acta Scientiarum Mathematicarum. Springer Nature, 2018. https://doi.org/10.14232/actasm-018-753-y. ieee: D. Virosztek, “Maps on probability measures preserving certain distances - a survey and some new results,” Acta Scientiarum Mathematicarum, vol. 84, no. 1–2. Springer Nature, pp. 65–80, 2018. ista: Virosztek D. 2018. Maps on probability measures preserving certain distances - a survey and some new results. Acta Scientiarum Mathematicarum. 84(1–2), 65–80. mla: Virosztek, Daniel. “Maps on Probability Measures Preserving Certain Distances - a Survey and Some New Results.” Acta Scientiarum Mathematicarum, vol. 84, no. 1–2, Springer Nature, 2018, pp. 65–80, doi:10.14232/actasm-018-753-y. short: D. Virosztek, Acta Scientiarum Mathematicarum 84 (2018) 65–80. date_created: 2018-12-11T11:45:36Z date_published: 2018-06-04T00:00:00Z date_updated: 2023-10-16T10:29:22Z day: '04' department: - _id: LaEr doi: 10.14232/actasm-018-753-y ec_funded: 1 external_id: arxiv: - '1802.03305' intvolume: ' 84' issue: 1-2 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1802.03305 month: '06' oa: 1 oa_version: Preprint page: 65 - 80 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Acta Scientiarum Mathematicarum publication_identifier: eissn: - 2064-8316 issn: - 0001-6969 publication_status: published publisher: Springer Nature publist_id: '7615' quality_controlled: '1' scopus_import: '1' status: public title: Maps on probability measures preserving certain distances - a survey and some new results type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 84 year: '2018' ... --- _id: '180' abstract: - lang: eng text: In this paper we define and study the classical Uniform Electron Gas (UEG), a system of infinitely many electrons whose density is constant everywhere in space. The UEG is defined differently from Jellium, which has a positive constant background but no constraint on the density. We prove that the UEG arises in Density Functional Theory in the limit of a slowly varying density, minimizing the indirect Coulomb energy. We also construct the quantum UEG and compare it to the classical UEG at low density. acknowledgement: "This project has received funding from the European Research Council (ERC) under the European\r\nUnion’s Horizon 2020 research and innovation programme (grant agreement 694227 for R.S. and MDFT 725528 for M.L.). Financial support by the Austrian Science Fund (FWF), project No P 27533-N27 (R.S.) and by the US National Science Foundation, grant No PHY12-1265118 (E.H.L.) are gratefully acknowledged." article_processing_charge: No article_type: original author: - first_name: Mathieu full_name: Lewi, Mathieu last_name: Lewi - first_name: Élliott full_name: Lieb, Élliott last_name: Lieb - first_name: Robert full_name: Seiringer, Robert id: 4AFD0470-F248-11E8-B48F-1D18A9856A87 last_name: Seiringer orcid: 0000-0002-6781-0521 citation: ama: Lewi M, Lieb É, Seiringer R. Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. 2018;5:79-116. doi:10.5802/jep.64 apa: Lewi, M., Lieb, É., & Seiringer, R. (2018). Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. Ecole Polytechnique. https://doi.org/10.5802/jep.64 chicago: Lewi, Mathieu, Élliott Lieb, and Robert Seiringer. “Statistical Mechanics of the Uniform Electron Gas.” Journal de l’Ecole Polytechnique - Mathematiques. Ecole Polytechnique, 2018. https://doi.org/10.5802/jep.64. ieee: M. Lewi, É. Lieb, and R. Seiringer, “Statistical mechanics of the uniform electron gas,” Journal de l’Ecole Polytechnique - Mathematiques, vol. 5. Ecole Polytechnique, pp. 79–116, 2018. ista: Lewi M, Lieb É, Seiringer R. 2018. Statistical mechanics of the uniform electron gas. Journal de l’Ecole Polytechnique - Mathematiques. 5, 79–116. mla: Lewi, Mathieu, et al. “Statistical Mechanics of the Uniform Electron Gas.” Journal de l’Ecole Polytechnique - Mathematiques, vol. 5, Ecole Polytechnique, 2018, pp. 79–116, doi:10.5802/jep.64. short: M. Lewi, É. Lieb, R. Seiringer, Journal de l’Ecole Polytechnique - Mathematiques 5 (2018) 79–116. date_created: 2018-12-11T11:45:03Z date_published: 2018-07-01T00:00:00Z date_updated: 2023-10-17T08:05:28Z day: '01' ddc: - '510' department: - _id: RoSe doi: 10.5802/jep.64 ec_funded: 1 external_id: arxiv: - '1705.10676' file: - access_level: open_access checksum: 1ba7cccdf3900f42c4f715ae75d6813c content_type: application/pdf creator: dernst date_created: 2018-12-17T16:38:18Z date_updated: 2020-07-14T12:45:16Z file_id: '5726' file_name: 2018_JournaldeLecoleMath_Lewi.pdf file_size: 843938 relation: main_file file_date_updated: 2020-07-14T12:45:16Z has_accepted_license: '1' intvolume: ' 5' language: - iso: eng license: https://creativecommons.org/licenses/by-nd/4.0/ month: '07' oa: 1 oa_version: Published Version page: 79 - 116 project: - _id: 25C6DC12-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '694227' name: Analysis of quantum many-body systems - _id: 25C878CE-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P27533_N27 name: Structure of the Excitation Spectrum for Many-Body Quantum Systems publication: Journal de l'Ecole Polytechnique - Mathematiques publication_identifier: eissn: - 2270-518X issn: - 2429-7100 publication_status: published publisher: Ecole Polytechnique publist_id: '7741' quality_controlled: '1' scopus_import: '1' status: public title: Statistical mechanics of the uniform electron gas tmp: image: /image/cc_by_nd.png legal_code_url: https://creativecommons.org/licenses/by-nd/4.0/legalcode name: Creative Commons Attribution-NoDerivatives 4.0 International (CC BY-ND 4.0) short: CC BY-ND (4.0) type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 5 year: '2018' ... --- _id: '163' abstract: - lang: eng text: For ultrafast fixation of biological samples to avoid artifacts, high-pressure freezing (HPF) followed by freeze substitution (FS) is preferred over chemical fixation at room temperature. After HPF, samples are maintained at low temperature during dehydration and fixation, while avoiding damaging recrystallization. This is a notoriously slow process. McDonald and Webb demonstrated, in 2011, that sample agitation during FS dramatically reduces the necessary time. Then, in 2015, we (H.G. and S.R.) introduced an agitation module into the cryochamber of an automated FS unit and demonstrated that the preparation of algae could be shortened from days to a couple of hours. We argued that variability in the processing, reproducibility, and safety issues are better addressed using automated FS units. For dissemination, we started low-cost manufacturing of agitation modules for two of the most widely used FS units, the Automatic Freeze Substitution Systems, AFS(1) and AFS2, from Leica Microsystems, using three dimensional (3D)-printing of the major components. To test them, several labs independently used the modules on a wide variety of specimens that had previously been processed by manual agitation, or without agitation. We demonstrate that automated processing with sample agitation saves time, increases flexibility with respect to sample requirements and protocols, and produces data of at least as good quality as other approaches. article_processing_charge: No article_type: original author: - first_name: Siegfried full_name: Reipert, Siegfried last_name: Reipert - first_name: Helmuth full_name: Goldammer, Helmuth last_name: Goldammer - first_name: Christine full_name: Richardson, Christine last_name: Richardson - first_name: Martin full_name: Goldberg, Martin last_name: Goldberg - first_name: Timothy full_name: Hawkins, Timothy last_name: Hawkins - first_name: Elena full_name: Hollergschwandtner, Elena id: 3C054040-F248-11E8-B48F-1D18A9856A87 last_name: Hollergschwandtner - first_name: Walter full_name: Kaufmann, Walter id: 3F99E422-F248-11E8-B48F-1D18A9856A87 last_name: Kaufmann orcid: 0000-0001-9735-5315 - first_name: Sebastian full_name: Antreich, Sebastian last_name: Antreich - first_name: York full_name: Stierhof, York last_name: Stierhof citation: ama: 'Reipert S, Goldammer H, Richardson C, et al. Agitation modules: Flexible means to accelerate automated freeze substitution. Journal of Histochemistry and Cytochemistry. 2018;66(12):903-921. doi:10.1369/0022155418786698' apa: 'Reipert, S., Goldammer, H., Richardson, C., Goldberg, M., Hawkins, T., Saeckl, E., … Stierhof, Y. (2018). Agitation modules: Flexible means to accelerate automated freeze substitution. Journal of Histochemistry and Cytochemistry. SAGE Publications. https://doi.org/10.1369/0022155418786698' chicago: 'Reipert, Siegfried, Helmuth Goldammer, Christine Richardson, Martin Goldberg, Timothy Hawkins, Elena Saeckl, Walter Kaufmann, Sebastian Antreich, and York Stierhof. “Agitation Modules: Flexible Means to Accelerate Automated Freeze Substitution.” Journal of Histochemistry and Cytochemistry. SAGE Publications, 2018. https://doi.org/10.1369/0022155418786698.' ieee: 'S. Reipert et al., “Agitation modules: Flexible means to accelerate automated freeze substitution,” Journal of Histochemistry and Cytochemistry, vol. 66, no. 12. SAGE Publications, pp. 903–921, 2018.' ista: 'Reipert S, Goldammer H, Richardson C, Goldberg M, Hawkins T, Saeckl E, Kaufmann W, Antreich S, Stierhof Y. 2018. Agitation modules: Flexible means to accelerate automated freeze substitution. Journal of Histochemistry and Cytochemistry. 66(12), 903–921.' mla: 'Reipert, Siegfried, et al. “Agitation Modules: Flexible Means to Accelerate Automated Freeze Substitution.” Journal of Histochemistry and Cytochemistry, vol. 66, no. 12, SAGE Publications, 2018, pp. 903–21, doi:10.1369/0022155418786698.' short: S. Reipert, H. Goldammer, C. Richardson, M. Goldberg, T. Hawkins, E. Saeckl, W. Kaufmann, S. Antreich, Y. Stierhof, Journal of Histochemistry and Cytochemistry 66 (2018) 903–921. date_created: 2018-12-11T11:44:57Z date_published: 2018-12-01T00:00:00Z date_updated: 2023-10-17T08:42:24Z day: '01' department: - _id: RySh - _id: EM-Fac doi: 10.1369/0022155418786698 external_id: isi: - '000452277700005' pmid: - '29969056' intvolume: ' 66' isi: 1 issue: '12' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1369/0022155418786698 month: '12' oa: 1 oa_version: Published Version page: 903-921 pmid: 1 publication: Journal of Histochemistry and Cytochemistry publication_identifier: issn: - 0022-1554 publication_status: published publisher: SAGE Publications quality_controlled: '1' scopus_import: '1' status: public title: 'Agitation modules: Flexible means to accelerate automated freeze substitution' type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 66 year: '2018' ... --- _id: '6012' abstract: - lang: eng text: We present an approach to identify concise equations from data using a shallow neural network approach. In contrast to ordinary black-box regression, this approach allows understanding functional relations and generalizing them from observed data to unseen parts of the parameter space. We show how to extend the class of learnable equations for a recently proposed equation learning network to include divisions, and we improve the learning and model selection strategy to be useful for challenging real-world data. For systems governed by analytical expressions, our method can in many cases identify the true underlying equation and extrapolate to unseen domains. We demonstrate its effectiveness by experiments on a cart-pendulum system, where only 2 random rollouts are required to learn the forward dynamics and successfully achieve the swing-up task. article_processing_charge: No author: - first_name: Subham full_name: Sahoo, Subham last_name: Sahoo - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 - first_name: Georg S full_name: Martius, Georg S id: 3A276B68-F248-11E8-B48F-1D18A9856A87 last_name: Martius citation: ama: 'Sahoo S, Lampert C, Martius GS. Learning equations for extrapolation and control. In: Proceedings of the 35th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:4442-4450.' apa: 'Sahoo, S., Lampert, C., & Martius, G. S. (2018). Learning equations for extrapolation and control. In Proceedings of the 35th International Conference on Machine Learning (Vol. 80, pp. 4442–4450). Stockholm, Sweden: ML Research Press.' chicago: Sahoo, Subham, Christoph Lampert, and Georg S Martius. “Learning Equations for Extrapolation and Control.” In Proceedings of the 35th International Conference on Machine Learning, 80:4442–50. ML Research Press, 2018. ieee: S. Sahoo, C. Lampert, and G. S. Martius, “Learning equations for extrapolation and control,” in Proceedings of the 35th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 4442–4450. ista: 'Sahoo S, Lampert C, Martius GS. 2018. Learning equations for extrapolation and control. Proceedings of the 35th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 4442–4450.' mla: Sahoo, Subham, et al. “Learning Equations for Extrapolation and Control.” Proceedings of the 35th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 4442–50. short: S. Sahoo, C. Lampert, G.S. Martius, in:, Proceedings of the 35th International Conference on Machine Learning, ML Research Press, 2018, pp. 4442–4450. conference: end_date: 2018-07-15 location: Stockholm, Sweden name: 'ICML: International Conference on Machine Learning' start_date: 2018-07-10 date_created: 2019-02-14T15:21:07Z date_published: 2018-02-01T00:00:00Z date_updated: 2023-10-17T09:50:53Z day: '01' department: - _id: ChLa ec_funded: 1 external_id: arxiv: - '1806.07259' isi: - '000683379204058' intvolume: ' 80' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1806.07259 month: '02' oa: 1 oa_version: Preprint page: 4442-4450 project: - _id: 25681D80-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '291734' name: International IST Postdoc Fellowship Programme publication: Proceedings of the 35th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/first-machine-learning-method-capable-of-accurate-extrapolation/ scopus_import: '1' status: public title: Learning equations for extrapolation and control type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '6011' abstract: - lang: eng text: 'We establish a data-dependent notion of algorithmic stability for Stochastic Gradient Descent (SGD), and employ it to develop novel generalization bounds. This is in contrast to previous distribution-free algorithmic stability results for SGD which depend on the worst-case constants. By virtue of the data-dependent argument, our bounds provide new insights into learning with SGD on convex and non-convex problems. In the convex case, we show that the bound on the generalization error depends on the risk at the initialization point. In the non-convex case, we prove that the expected curvature of the objective function around the initialization point has crucial influence on the generalization error. In both cases, our results suggest a simple data-driven strategy to stabilize SGD by pre-screening its initialization. As a corollary, our results allow us to show optimistic generalization bounds that exhibit fast convergence rates for SGD subject to a vanishing empirical risk and low noise of stochastic gradient. ' article_processing_charge: No author: - first_name: Ilja full_name: Kuzborskij, Ilja last_name: Kuzborskij - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Kuzborskij I, Lampert C. Data-dependent stability of stochastic gradient descent. In: Proceedings of the 35 Th International Conference on Machine Learning. Vol 80. ML Research Press; 2018:2815-2824.' apa: 'Kuzborskij, I., & Lampert, C. (2018). Data-dependent stability of stochastic gradient descent. In Proceedings of the 35 th International Conference on Machine Learning (Vol. 80, pp. 2815–2824). Stockholm, Sweden: ML Research Press.' chicago: Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” In Proceedings of the 35 Th International Conference on Machine Learning, 80:2815–24. ML Research Press, 2018. ieee: I. Kuzborskij and C. Lampert, “Data-dependent stability of stochastic gradient descent,” in Proceedings of the 35 th International Conference on Machine Learning, Stockholm, Sweden, 2018, vol. 80, pp. 2815–2824. ista: 'Kuzborskij I, Lampert C. 2018. Data-dependent stability of stochastic gradient descent. Proceedings of the 35 th International Conference on Machine Learning. ICML: International Conference on Machine Learning vol. 80, 2815–2824.' mla: Kuzborskij, Ilja, and Christoph Lampert. “Data-Dependent Stability of Stochastic Gradient Descent.” Proceedings of the 35 Th International Conference on Machine Learning, vol. 80, ML Research Press, 2018, pp. 2815–24. short: I. Kuzborskij, C. Lampert, in:, Proceedings of the 35 Th International Conference on Machine Learning, ML Research Press, 2018, pp. 2815–2824. conference: end_date: 2018-07-15 location: Stockholm, Sweden name: 'ICML: International Conference on Machine Learning' start_date: 2018-07-10 date_created: 2019-02-14T14:51:57Z date_published: 2018-02-01T00:00:00Z date_updated: 2023-10-17T09:51:13Z day: '01' department: - _id: ChLa ec_funded: 1 external_id: arxiv: - '1703.01678' isi: - '000683379202095' intvolume: ' 80' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1703.01678 month: '02' oa: 1 oa_version: Preprint page: 2815-2824 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: Proceedings of the 35 th International Conference on Machine Learning publication_status: published publisher: ML Research Press quality_controlled: '1' scopus_import: '1' status: public title: Data-dependent stability of stochastic gradient descent type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 80 year: '2018' ... --- _id: '5686' article_processing_charge: No author: - first_name: Patrick full_name: Danowski, Patrick id: 2EBD1598-F248-11E8-B48F-1D18A9856A87 last_name: Danowski orcid: 0000-0002-6026-4409 citation: ama: Danowski P. An Austrian Proposal for the Classification of Open Access Tuples (COAT) - Distinguish Different Open Access Types beyond Colors.; 2018. doi:10.5281/zenodo.1244154 apa: Danowski, P. (2018). An Austrian proposal for the Classification of Open Access Tuples (COAT) - Distinguish different Open Access types beyond colors. https://doi.org/10.5281/zenodo.1244154 chicago: Danowski, Patrick. An Austrian Proposal for the Classification of Open Access Tuples (COAT) - Distinguish Different Open Access Types beyond Colors, 2018. https://doi.org/10.5281/zenodo.1244154. ieee: P. Danowski, An Austrian proposal for the Classification of Open Access Tuples (COAT) - Distinguish different Open Access types beyond colors. 2018. ista: Danowski P. 2018. An Austrian proposal for the Classification of Open Access Tuples (COAT) - Distinguish different Open Access types beyond colors, 5p. mla: Danowski, Patrick. An Austrian Proposal for the Classification of Open Access Tuples (COAT) - Distinguish Different Open Access Types beyond Colors. 2018, doi:10.5281/zenodo.1244154. short: P. Danowski, An Austrian Proposal for the Classification of Open Access Tuples (COAT) - Distinguish Different Open Access Types beyond Colors, 2018. date_created: 2018-12-17T10:28:26Z date_published: 2018-05-09T00:00:00Z date_updated: 2023-10-17T11:33:57Z day: '09' ddc: - '020' department: - _id: E-Lib doi: 10.5281/zenodo.1244154 file: - access_level: open_access checksum: 6cb95f8772491d155ce77c6160655fff content_type: application/pdf creator: dernst date_created: 2019-01-22T09:06:51Z date_updated: 2020-07-14T12:47:10Z file_id: '5872' file_name: 2018_WorkingPaper_Danowski.pdf file_size: 202798 relation: main_file file_date_updated: 2020-07-14T12:47:10Z has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/licenses/by/4.0/ month: '05' oa: 1 oa_version: Published Version page: '5' publication_status: published related_material: record: - id: '6657' relation: later_version status: public scopus_import: 1 status: public title: An Austrian proposal for the Classification of Open Access Tuples (COAT) - Distinguish different Open Access types beyond colors 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: working_paper user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87 year: '2018' ... --- _id: '6589' abstract: - lang: eng text: Distributed training of massive machine learning models, in particular deep neural networks, via Stochastic Gradient Descent (SGD) is becoming commonplace. Several families of communication-reduction methods, such as quantization, large-batch methods, and gradient sparsification, have been proposed. To date, gradient sparsification methods--where each node sorts gradients by magnitude, and only communicates a subset of the components, accumulating the rest locally--are known to yield some of the largest practical gains. Such methods can reduce the amount of communication per step by up to \emph{three orders of magnitude}, while preserving model accuracy. Yet, this family of methods currently has no theoretical justification. This is the question we address in this paper. We prove that, under analytic assumptions, sparsifying gradients by magnitude with local error correction provides convergence guarantees, for both convex and non-convex smooth objectives, for data-parallel SGD. The main insight is that sparsification methods implicitly maintain bounds on the maximum impact of stale updates, thanks to selection by magnitude. Our analysis and empirical validation also reveal that these methods do require analytical conditions to converge well, justifying existing heuristics. article_processing_charge: No author: - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X - first_name: Torsten full_name: Hoefler, Torsten last_name: Hoefler - first_name: Mikael full_name: Johansson, Mikael last_name: Johansson - first_name: Nikola H full_name: Konstantinov, Nikola H id: 4B9D76E4-F248-11E8-B48F-1D18A9856A87 last_name: Konstantinov - first_name: Sarit full_name: Khirirat, Sarit last_name: Khirirat - first_name: Cedric full_name: Renggli, Cedric last_name: Renggli citation: ama: 'Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. The convergence of sparsified gradient methods. In: Advances in Neural Information Processing Systems 31. Vol Volume 2018. Neural Information Processing Systems Foundation; 2018:5973-5983.' apa: 'Alistarh, D.-A., Hoefler, T., Johansson, M., Konstantinov, N. H., Khirirat, S., & Renggli, C. (2018). The convergence of sparsified gradient methods. In Advances in Neural Information Processing Systems 31 (Vol. Volume 2018, pp. 5973–5983). Montreal, Canada: Neural Information Processing Systems Foundation.' chicago: Alistarh, Dan-Adrian, Torsten Hoefler, Mikael Johansson, Nikola H Konstantinov, Sarit Khirirat, and Cedric Renggli. “The Convergence of Sparsified Gradient Methods.” In Advances in Neural Information Processing Systems 31, Volume 2018:5973–83. Neural Information Processing Systems Foundation, 2018. ieee: D.-A. Alistarh, T. Hoefler, M. Johansson, N. H. Konstantinov, S. Khirirat, and C. Renggli, “The convergence of sparsified gradient methods,” in Advances in Neural Information Processing Systems 31, Montreal, Canada, 2018, vol. Volume 2018, pp. 5973–5983. ista: 'Alistarh D-A, Hoefler T, Johansson M, Konstantinov NH, Khirirat S, Renggli C. 2018. The convergence of sparsified gradient methods. Advances in Neural Information Processing Systems 31. NeurIPS: Conference on Neural Information Processing Systems vol. Volume 2018, 5973–5983.' mla: Alistarh, Dan-Adrian, et al. “The Convergence of Sparsified Gradient Methods.” Advances in Neural Information Processing Systems 31, vol. Volume 2018, Neural Information Processing Systems Foundation, 2018, pp. 5973–83. short: D.-A. Alistarh, T. Hoefler, M. Johansson, N.H. Konstantinov, S. Khirirat, C. Renggli, in:, Advances in Neural Information Processing Systems 31, Neural Information Processing Systems Foundation, 2018, pp. 5973–5983. conference: end_date: 2018-12-08 location: Montreal, Canada name: 'NeurIPS: Conference on Neural Information Processing Systems' start_date: 2018-12-02 date_created: 2019-06-27T09:32:55Z date_published: 2018-12-01T00:00:00Z date_updated: 2023-10-17T11:47:20Z day: '01' department: - _id: DaAl - _id: ChLa ec_funded: 1 external_id: arxiv: - '1809.10505' isi: - '000461852000047' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/1809.10505 month: '12' oa: 1 oa_version: Preprint page: 5973-5983 project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Advances in Neural Information Processing Systems 31 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' scopus_import: '1' status: public title: The convergence of sparsified gradient methods type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: Volume 2018 year: '2018' ... --- _id: '7' abstract: - lang: eng text: Animal social networks are shaped by multiple selection pressures, including the need to ensure efficient communication and functioning while simultaneously limiting disease transmission. Social animals could potentially further reduce epidemic risk by altering their social networks in the presence of pathogens, yet there is currently no evidence for such pathogen-triggered responses. We tested this hypothesis experimentally in the ant Lasius niger using a combination of automated tracking, controlled pathogen exposure, transmission quantification, and temporally explicit simulations. Pathogen exposure induced behavioral changes in both exposed ants and their nestmates, which helped contain the disease by reinforcing key transmission-inhibitory properties of the colony's contact network. This suggests that social network plasticity in response to pathogens is an effective strategy for mitigating the effects of disease in social groups. acknowledgement: This project was funded by two European Research Council Advanced Grants (Social Life, 249375, and resiliANT, 741491) and two Swiss National Science Foundation grants (CR32I3_141063 and 310030_156732) to L.K. and a European Research Council Starting Grant (SocialVaccines, 243071) to S.C. article_processing_charge: No article_type: original author: - first_name: Nathalie full_name: Stroeymeyt, Nathalie last_name: Stroeymeyt - first_name: Anna V full_name: Grasse, Anna V id: 406F989C-F248-11E8-B48F-1D18A9856A87 last_name: Grasse - first_name: Alessandro full_name: Crespi, Alessandro last_name: Crespi - first_name: Danielle full_name: Mersch, Danielle last_name: Mersch - first_name: Sylvia full_name: Cremer, Sylvia id: 2F64EC8C-F248-11E8-B48F-1D18A9856A87 last_name: Cremer orcid: 0000-0002-2193-3868 - first_name: Laurent full_name: Keller, Laurent last_name: Keller citation: ama: Stroeymeyt N, Grasse AV, Crespi A, Mersch D, Cremer S, Keller L. Social network plasticity decreases disease transmission in a eusocial insect. Science. 2018;362(6417):941-945. doi:10.1126/science.aat4793 apa: Stroeymeyt, N., Grasse, A. V., Crespi, A., Mersch, D., Cremer, S., & Keller, L. (2018). Social network plasticity decreases disease transmission in a eusocial insect. Science. AAAS. https://doi.org/10.1126/science.aat4793 chicago: Stroeymeyt, Nathalie, Anna V Grasse, Alessandro Crespi, Danielle Mersch, Sylvia Cremer, and Laurent Keller. “Social Network Plasticity Decreases Disease Transmission in a Eusocial Insect.” Science. AAAS, 2018. https://doi.org/10.1126/science.aat4793. ieee: N. Stroeymeyt, A. V. Grasse, A. Crespi, D. Mersch, S. Cremer, and L. Keller, “Social network plasticity decreases disease transmission in a eusocial insect,” Science, vol. 362, no. 6417. AAAS, pp. 941–945, 2018. ista: Stroeymeyt N, Grasse AV, Crespi A, Mersch D, Cremer S, Keller L. 2018. Social network plasticity decreases disease transmission in a eusocial insect. Science. 362(6417), 941–945. mla: Stroeymeyt, Nathalie, et al. “Social Network Plasticity Decreases Disease Transmission in a Eusocial Insect.” Science, vol. 362, no. 6417, AAAS, 2018, pp. 941–45, doi:10.1126/science.aat4793. short: N. Stroeymeyt, A.V. Grasse, A. Crespi, D. Mersch, S. Cremer, L. Keller, Science 362 (2018) 941–945. date_created: 2018-12-11T11:44:07Z date_published: 2018-11-23T00:00:00Z date_updated: 2023-10-17T11:50:05Z day: '23' department: - _id: SyCr doi: 10.1126/science.aat4793 ec_funded: 1 external_id: isi: - '000451124500041' intvolume: ' 362' isi: 1 issue: '6417' language: - iso: eng main_file_link: - open_access: '1' url: https://serval.unil.ch/resource/serval:BIB_E9228C205467.P001/REF.pdf month: '11' oa: 1 oa_version: Published Version page: 941 - 945 project: - _id: 25DC711C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '243071' name: 'Social Vaccination in Ant Colonies: from Individual Mechanisms to Society Effects' publication: Science publication_identifier: issn: - 1095-9203 publication_status: published publisher: AAAS publist_id: '8049' quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/for-ants-unity-is-strength-and-health/ record: - id: '13055' relation: research_data status: public scopus_import: '1' status: public title: Social network plasticity decreases disease transmission in a eusocial insect type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 362 year: '2018' ... --- _id: '19' abstract: - lang: eng text: Bacteria regulate genes to survive antibiotic stress, but regulation can be far from perfect. When regulation is not optimal, mutations that change gene expression can contribute to antibiotic resistance. It is not systematically understood to what extent natural gene regulation is or is not optimal for distinct antibiotics, and how changes in expression of specific genes quantitatively affect antibiotic resistance. Here we discover a simple quantitative relation between fitness, gene expression, and antibiotic potency, which rationalizes our observation that a multitude of genes and even innate antibiotic defense mechanisms have expression that is critically nonoptimal under antibiotic treatment. First, we developed a pooled-strain drug-diffusion assay and screened Escherichia coli overexpression and knockout libraries, finding that resistance to a range of 31 antibiotics could result from changing expression of a large and functionally diverse set of genes, in a primarily but not exclusively drug-specific manner. Second, by synthetically controlling the expression of single-drug and multidrug resistance genes, we observed that their fitness-expression functions changed dramatically under antibiotic treatment in accordance with a log-sensitivity relation. Thus, because many genes are nonoptimally expressed under antibiotic treatment, many regulatory mutations can contribute to resistance by altering expression and by activating latent defenses. article_processing_charge: No article_type: original author: - first_name: Adam full_name: Palmer, Adam last_name: Palmer - first_name: Remy P full_name: Chait, Remy P id: 3464AE84-F248-11E8-B48F-1D18A9856A87 last_name: Chait orcid: 0000-0003-0876-3187 - first_name: Roy full_name: Kishony, Roy last_name: Kishony citation: ama: Palmer A, Chait RP, Kishony R. Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. 2018;35(11):2669-2684. doi:10.1093/molbev/msy163 apa: Palmer, A., Chait, R. P., & Kishony, R. (2018). Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msy163 chicago: Palmer, Adam, Remy P Chait, and Roy Kishony. “Nonoptimal Gene Expression Creates Latent Potential for Antibiotic Resistance.” Molecular Biology and Evolution. Oxford University Press, 2018. https://doi.org/10.1093/molbev/msy163. ieee: A. Palmer, R. P. Chait, and R. Kishony, “Nonoptimal gene expression creates latent potential for antibiotic resistance,” Molecular Biology and Evolution, vol. 35, no. 11. Oxford University Press, pp. 2669–2684, 2018. ista: Palmer A, Chait RP, Kishony R. 2018. Nonoptimal gene expression creates latent potential for antibiotic resistance. Molecular Biology and Evolution. 35(11), 2669–2684. mla: Palmer, Adam, et al. “Nonoptimal Gene Expression Creates Latent Potential for Antibiotic Resistance.” Molecular Biology and Evolution, vol. 35, no. 11, Oxford University Press, 2018, pp. 2669–84, doi:10.1093/molbev/msy163. short: A. Palmer, R.P. Chait, R. Kishony, Molecular Biology and Evolution 35 (2018) 2669–2684. date_created: 2018-12-11T11:44:11Z date_published: 2018-08-28T00:00:00Z date_updated: 2023-10-17T11:51:06Z day: '28' department: - _id: CaGu - _id: GaTk doi: 10.1093/molbev/msy163 external_id: isi: - '000452567200006' pmid: - '30169679' intvolume: ' 35' isi: 1 issue: '11' language: - iso: eng main_file_link: - open_access: '1' url: https://www.ncbi.nlm.nih.gov/pubmed/30169679 month: '08' oa: 1 oa_version: Submitted Version page: 2669 - 2684 pmid: 1 publication: Molecular Biology and Evolution publication_identifier: issn: - 0737-4038 publication_status: published publisher: Oxford University Press publist_id: '8036' quality_controlled: '1' scopus_import: '1' status: public title: Nonoptimal gene expression creates latent potential for antibiotic resistance type: journal_article user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 35 year: '2018' ...