--- _id: '7415' article_processing_charge: No article_type: original author: - first_name: Jasmin full_name: Morandell, Jasmin id: 4739D480-F248-11E8-B48F-1D18A9856A87 last_name: Morandell - first_name: Armel full_name: Nicolas, Armel id: 2A103192-F248-11E8-B48F-1D18A9856A87 last_name: Nicolas - first_name: Lena A full_name: Schwarz, Lena A id: 29A8453C-F248-11E8-B48F-1D18A9856A87 last_name: Schwarz - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 citation: ama: Morandell J, Nicolas A, Schwarz LA, Novarino G. S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European Neuropsychopharmacology. 2019;29(Supplement 6):S11-S12. doi:10.1016/j.euroneuro.2019.09.040 apa: Morandell, J., Nicolas, A., Schwarz, L. A., & Novarino, G. (2019). S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European Neuropsychopharmacology. Elsevier. https://doi.org/10.1016/j.euroneuro.2019.09.040 chicago: Morandell, Jasmin, Armel Nicolas, Lena A Schwarz, and Gaia Novarino. “S.16.05 Illuminating the Role of the E3 Ubiquitin Ligase Cullin3 in Brain Development and Autism.” European Neuropsychopharmacology. Elsevier, 2019. https://doi.org/10.1016/j.euroneuro.2019.09.040. ieee: J. Morandell, A. Nicolas, L. A. Schwarz, and G. Novarino, “S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism,” European Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier, pp. S11–S12, 2019. ista: Morandell J, Nicolas A, Schwarz LA, Novarino G. 2019. S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism. European Neuropsychopharmacology. 29(Supplement 6), S11–S12. mla: Morandell, Jasmin, et al. “S.16.05 Illuminating the Role of the E3 Ubiquitin Ligase Cullin3 in Brain Development and Autism.” European Neuropsychopharmacology, vol. 29, no. Supplement 6, Elsevier, 2019, pp. S11–12, doi:10.1016/j.euroneuro.2019.09.040. short: J. Morandell, A. Nicolas, L.A. Schwarz, G. Novarino, European Neuropsychopharmacology 29 (2019) S11–S12. date_created: 2020-01-30T10:07:41Z date_published: 2019-12-13T00:00:00Z date_updated: 2023-09-07T14:56:17Z day: '13' department: - _id: GaNo - _id: LifeSc doi: 10.1016/j.euroneuro.2019.09.040 external_id: isi: - '000502657500021' intvolume: ' 29' isi: 1 issue: Supplement 6 language: - iso: eng month: '12' oa_version: None page: S11-S12 publication: European Neuropsychopharmacology publication_identifier: issn: - 0924-977X publication_status: published publisher: Elsevier quality_controlled: '1' status: public title: S.16.05 Illuminating the role of the e3 ubiquitin ligase cullin3 in brain development and autism type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 29 year: '2019' ... --- _id: '7414' article_processing_charge: No article_type: original author: - first_name: Lisa full_name: Knaus, Lisa id: 3B2ABCF4-F248-11E8-B48F-1D18A9856A87 last_name: Knaus - first_name: Dora-Clara full_name: Tarlungeanu, Dora-Clara id: 2ABCE612-F248-11E8-B48F-1D18A9856A87 last_name: Tarlungeanu - first_name: Gaia full_name: Novarino, Gaia id: 3E57A680-F248-11E8-B48F-1D18A9856A87 last_name: Novarino orcid: 0000-0002-7673-7178 citation: ama: Knaus L, Tarlungeanu D-C, Novarino G. S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology. 2019;29(Supplement 6):S11. doi:10.1016/j.euroneuro.2019.09.039 apa: Knaus, L., Tarlungeanu, D.-C., & Novarino, G. (2019). S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology. Elsevier. https://doi.org/10.1016/j.euroneuro.2019.09.039 chicago: Knaus, Lisa, Dora-Clara Tarlungeanu, and Gaia Novarino. “S.16.03 A Homozygous Missense Mutation in SLC7A5 Leads to Autism Spectrum Disorder and Microcephaly.” European Neuropsychopharmacology. Elsevier, 2019. https://doi.org/10.1016/j.euroneuro.2019.09.039. ieee: L. Knaus, D.-C. Tarlungeanu, and G. Novarino, “S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly,” European Neuropsychopharmacology, vol. 29, no. Supplement 6. Elsevier, p. S11, 2019. ista: Knaus L, Tarlungeanu D-C, Novarino G. 2019. S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly. European Neuropsychopharmacology. 29(Supplement 6), S11. mla: Knaus, Lisa, et al. “S.16.03 A Homozygous Missense Mutation in SLC7A5 Leads to Autism Spectrum Disorder and Microcephaly.” European Neuropsychopharmacology, vol. 29, no. Supplement 6, Elsevier, 2019, p. S11, doi:10.1016/j.euroneuro.2019.09.039. short: L. Knaus, D.-C. Tarlungeanu, G. Novarino, European Neuropsychopharmacology 29 (2019) S11. date_created: 2020-01-30T10:06:15Z date_published: 2019-12-13T00:00:00Z date_updated: 2023-09-07T14:55:23Z day: '13' department: - _id: GaNo doi: 10.1016/j.euroneuro.2019.09.039 external_id: isi: - '000502657500020' intvolume: ' 29' isi: 1 issue: Supplement 6 language: - iso: eng month: '12' oa_version: None page: S11 publication: European Neuropsychopharmacology publication_identifier: issn: - 0924-977X publication_status: published publisher: Elsevier quality_controlled: '1' status: public title: S.16.03 A homozygous missense mutation in SLC7A5 leads to autism spectrum disorder and microcephaly type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 29 year: '2019' ... --- _id: '7394' article_processing_charge: No article_type: letter_note author: - first_name: Eva full_name: Benková, Eva id: 38F4F166-F248-11E8-B48F-1D18A9856A87 last_name: Benková orcid: 0000-0002-8510-9739 - first_name: Yasin full_name: Dagdas, Yasin last_name: Dagdas citation: ama: 'Benková E, Dagdas Y. Editorial overview: Cell biology in the era of omics? Current Opinion in Plant Biology. 2019;52(12):A1-A2. doi:10.1016/j.pbi.2019.11.002' apa: 'Benková, E., & Dagdas, Y. (2019). Editorial overview: Cell biology in the era of omics? Current Opinion in Plant Biology. Elsevier. https://doi.org/10.1016/j.pbi.2019.11.002' chicago: 'Benková, Eva, and Yasin Dagdas. “Editorial Overview: Cell Biology in the Era of Omics?” Current Opinion in Plant Biology. Elsevier, 2019. https://doi.org/10.1016/j.pbi.2019.11.002.' ieee: 'E. Benková and Y. Dagdas, “Editorial overview: Cell biology in the era of omics?,” Current Opinion in Plant Biology, vol. 52, no. 12. Elsevier, pp. A1–A2, 2019.' ista: 'Benková E, Dagdas Y. 2019. Editorial overview: Cell biology in the era of omics? Current Opinion in Plant Biology. 52(12), A1–A2.' mla: 'Benková, Eva, and Yasin Dagdas. “Editorial Overview: Cell Biology in the Era of Omics?” Current Opinion in Plant Biology, vol. 52, no. 12, Elsevier, 2019, pp. A1–2, doi:10.1016/j.pbi.2019.11.002.' short: E. Benková, Y. Dagdas, Current Opinion in Plant Biology 52 (2019) A1–A2. date_created: 2020-01-29T16:00:07Z date_published: 2019-12-01T00:00:00Z date_updated: 2023-09-07T14:56:55Z day: '01' department: - _id: EvBe doi: 10.1016/j.pbi.2019.11.002 external_id: isi: - '000502890600001' pmid: - '31787165' intvolume: ' 52' isi: 1 issue: '12' language: - iso: eng month: '12' oa_version: None page: A1-A2 pmid: 1 publication: Current Opinion in Plant Biology publication_identifier: issn: - 1369-5266 publication_status: published publisher: Elsevier quality_controlled: '1' scopus_import: '1' status: public title: 'Editorial overview: Cell biology in the era of omics?' type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 52 year: '2019' ... --- _id: '7479' abstract: - lang: eng text: "Multi-exit architectures, in which a stack of processing layers is interleaved with early output layers, allow the processing of a test example to stop early and thus save computation time and/or energy. In this work, we propose a new training procedure for multi-exit architectures based on the principle of knowledge distillation. The method encourage searly exits to mimic later, more accurate exits, by matching their output probabilities.\r\nExperiments on CIFAR100 and \ ImageNet show that distillation-based training significantly improves the accuracy of early exits while maintaining state-of-the-art accuracy for late \ ones. The method is particularly beneficial when training data is limited \ and it allows a straightforward extension to semi-supervised learning,i.e. making use of unlabeled data at training time. Moreover, it takes only afew lines to implement and incurs almost no computational overhead at training time, and none at all at test time." article_processing_charge: No author: - first_name: Phuong full_name: Bui Thi Mai, Phuong id: 3EC6EE64-F248-11E8-B48F-1D18A9856A87 last_name: Bui Thi Mai - first_name: Christoph full_name: Lampert, Christoph id: 40C20FD2-F248-11E8-B48F-1D18A9856A87 last_name: Lampert orcid: 0000-0001-8622-7887 citation: ama: 'Phuong M, Lampert C. Distillation-based training for multi-exit architectures. In: IEEE International Conference on Computer Vision. Vol 2019-October. IEEE; 2019:1355-1364. doi:10.1109/ICCV.2019.00144' apa: 'Phuong, M., & Lampert, C. (2019). Distillation-based training for multi-exit architectures. In IEEE International Conference on Computer Vision (Vol. 2019–October, pp. 1355–1364). Seoul, Korea: IEEE. https://doi.org/10.1109/ICCV.2019.00144' chicago: Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.” In IEEE International Conference on Computer Vision, 2019–October:1355–64. IEEE, 2019. https://doi.org/10.1109/ICCV.2019.00144. ieee: M. Phuong and C. Lampert, “Distillation-based training for multi-exit architectures,” in IEEE International Conference on Computer Vision, Seoul, Korea, 2019, vol. 2019–October, pp. 1355–1364. ista: 'Phuong M, Lampert C. 2019. Distillation-based training for multi-exit architectures. IEEE International Conference on Computer Vision. ICCV: International Conference on Computer Vision vol. 2019–October, 1355–1364.' mla: Phuong, Mary, and Christoph Lampert. “Distillation-Based Training for Multi-Exit Architectures.” IEEE International Conference on Computer Vision, vol. 2019–October, IEEE, 2019, pp. 1355–64, doi:10.1109/ICCV.2019.00144. short: M. Phuong, C. Lampert, in:, IEEE International Conference on Computer Vision, IEEE, 2019, pp. 1355–1364. conference: end_date: 2019-11-02 location: Seoul, Korea name: 'ICCV: International Conference on Computer Vision' start_date: 2019-10-27 date_created: 2020-02-11T09:06:57Z date_published: 2019-10-01T00:00:00Z date_updated: 2023-09-08T11:11:12Z day: '01' ddc: - '000' department: - _id: ChLa doi: 10.1109/ICCV.2019.00144 ec_funded: 1 external_id: isi: - '000531438101047' file: - access_level: open_access checksum: 7b77fb5c2d27c4c37a7612ba46a66117 content_type: application/pdf creator: bphuong date_created: 2020-02-11T09:06:39Z date_updated: 2020-07-14T12:47:59Z file_id: '7480' file_name: main.pdf file_size: 735768 relation: main_file file_date_updated: 2020-07-14T12:47:59Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '10' oa: 1 oa_version: Submitted Version page: 1355-1364 project: - _id: 2532554C-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '308036' name: Lifelong Learning of Visual Scene Understanding publication: IEEE International Conference on Computer Vision publication_identifier: isbn: - '9781728148038' issn: - '15505499' publication_status: published publisher: IEEE quality_controlled: '1' related_material: record: - id: '9418' relation: dissertation_contains status: public scopus_import: '1' status: public title: Distillation-based training for multi-exit architectures type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 2019-October year: '2019' ... --- _id: '7542' abstract: - lang: eng text: We present a novel class of convolutional neural networks (CNNs) for set functions,i.e., data indexed with the powerset of a finite set. The convolutions are derivedas linear, shift-equivariant functions for various notions of shifts on set functions.The framework is fundamentally different from graph convolutions based on theLaplacian, as it provides not one but several basic shifts, one for each element inthe ground set. Prototypical experiments with several set function classificationtasks on synthetic datasets and on datasets derived from real-world hypergraphsdemonstrate the potential of our new powerset CNNs. article_processing_charge: No author: - first_name: Chris full_name: Wendler, Chris last_name: Wendler - 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: Markus full_name: Püschel, Markus last_name: Püschel citation: ama: 'Wendler C, Alistarh D-A, Püschel M. Powerset convolutional neural networks. In: Vol 32. Neural Information Processing Systems Foundation; 2019:927-938.' apa: 'Wendler, C., Alistarh, D.-A., & Püschel, M. (2019). Powerset convolutional neural networks (Vol. 32, pp. 927–938). Presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada: Neural Information Processing Systems Foundation.' chicago: Wendler, Chris, Dan-Adrian Alistarh, and Markus Püschel. “Powerset Convolutional Neural Networks,” 32:927–38. Neural Information Processing Systems Foundation, 2019. ieee: 'C. Wendler, D.-A. Alistarh, and M. Püschel, “Powerset convolutional neural networks,” presented at the NIPS: Conference on Neural Information Processing Systems, Vancouver, Canada, 2019, vol. 32, pp. 927–938.' ista: 'Wendler C, Alistarh D-A, Püschel M. 2019. Powerset convolutional neural networks. NIPS: Conference on Neural Information Processing Systems vol. 32, 927–938.' mla: Wendler, Chris, et al. Powerset Convolutional Neural Networks. Vol. 32, Neural Information Processing Systems Foundation, 2019, pp. 927–38. short: C. Wendler, D.-A. Alistarh, M. Püschel, in:, Neural Information Processing Systems Foundation, 2019, pp. 927–938. conference: end_date: 2019-12-14 location: Vancouver, Canada name: 'NIPS: Conference on Neural Information Processing Systems' start_date: 2019-12-08 date_created: 2020-02-28T10:03:24Z date_published: 2019-12-01T00:00:00Z date_updated: 2023-09-08T11:13:52Z day: '01' department: - _id: DaAl ec_funded: 1 external_id: arxiv: - '1909.02253' isi: - '000534424300084' intvolume: ' 32' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: http://papers.nips.cc/paper/8379-powerset-convolutional-neural-networks month: '12' oa: 1 oa_version: Published Version page: 927-938 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication_identifier: issn: - 1049-5258 publication_status: published publisher: Neural Information Processing Systems Foundation quality_controlled: '1' status: public title: Powerset convolutional neural networks type: conference user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 32 year: '2019' ...