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11357 Publications
2021 |
Published |
Conference Paper |
IST-REx-ID: 14176 |
Yèche H, Dresdner G, Locatello F, Hüser M, Rätsch G. Neighborhood contrastive learning applied to online patient monitoring. In: Proceedings of 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:11964-11974.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 14177 |
Träuble F, Creager E, Kilbertus N, et al. On disentangled representations learned from correlated data. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:10401-10412.
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 14178 |
Dittadi A, Träuble F, Locatello F, et al. On the transfer of disentangled representations in realistic settings. In: The Ninth International Conference on Learning Representations. ; 2021.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 14179 |
Kügelgen J von, Sharma Y, Gresele L, et al. Self-supervised learning with data augmentations provably isolates content from style. In: Advances in Neural Information Processing Systems. Vol 34. ; 2021:16451-16467.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 14180 |
Rahaman N, Gondal MW, Joshi S, et al. Dynamic inference with neural interpreters. In: Advances in Neural Information Processing Systems. Vol 34. ; 2021:10985-10998.
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 14181 |
Dresdner G, Shekhar S, Pedregosa F, Locatello F, Rätsch G. Boosting variational inference with locally adaptive step-sizes. In: Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence; 2021:2337-2343. doi:10.24963/ijcai.2021/322
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| arXiv
2021 |
Published |
Conference Paper |
IST-REx-ID: 14182 |
Träuble F, Kügelgen J von, Kleindessner M, Locatello F, Schölkopf B, Gehler P. Backward-compatible prediction updates: A probabilistic approach. In: 35th Conference on Neural Information Processing Systems. Vol 34. ; 2021:116-128.
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| arXiv
2021 |
Patent |
IST-REx-ID: 14185 |
Weissenborn D, Uszkoreit J, Unterthiner T, et al. Object-centric learning with slot attention. 2021.
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| arXiv
2021 |
Submitted |
Preprint |
IST-REx-ID: 14221 |
Locatello F. Enforcing and discovering structure in machine learning. arXiv. doi:10.48550/arXiv.2111.13693
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| arXiv
2021 |
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Conference Paper |
IST-REx-ID: 14332
Träuble F, Dittadi A, Wuthrich M, et al. Representation learning for out-of-distribution generalization in reinforcement learning. In: ICML 2021 Workshop on Unsupervised Reinforcement Learning. ; 2021.
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2021 |
Published |
Journal Article |
IST-REx-ID: 17876
Fu T, Frommer K, Nuckolls C, Venkataraman L. Single-molecule junction formation in break-junction measurements. The Journal of Physical Chemistry Letters. 2021;12(44):10802-10807. doi:10.1021/acs.jpclett.1c03160
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 17877
Stone I, Starr RL, Zang Y, et al. A single-molecule blueprint for synthesis. Nature Reviews Chemistry. 2021;5(10):695-710. doi:10.1038/s41570-021-00316-y
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 17899 |
Zhang B, Garner MH, Li L, Campos LM, Solomon GC, Venkataraman L. Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators. Chemical Science. 2021;12(30):10299-10305. doi:10.1039/d1sc02287c
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 17900
Greenwald JE, Cameron J, Findlay NJ, et al. Highly nonlinear transport across single-molecule junctions via destructive quantum interference. Nature Nanotechnology. 2021;16(3):313-317. doi:10.1038/s41565-020-00807-x
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 17901
Medina Rivero S, García Arroyo P, Li L, et al. Single-molecule conductance in a unique cross-conjugated tetra(aminoaryl)ethene. Chemical Communications. 2021;57(5):591-594. doi:10.1039/d0cc07124b
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| PubMed | Europe PMC
2021 |
Published |
Journal Article |
IST-REx-ID: 18192 |
Bohrdt A, Kim S, Lukin A, et al. Analyzing nonequilibrium quantum states through snapshots with artificial neural networks. Physical Review Letters. 2021;127(15). doi:10.1103/physrevlett.127.150504
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 18193 |
Palm FA, Buser M, Leonard J, Aidelsburger M, Schollwöck U, Grusdt F. Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model. Physical Review B. 2021;103(16). doi:10.1103/physrevb.103.l161101
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 18233 |
Nahshan Y, Chmiel B, Baskin C, et al. Loss aware post-training quantization. Machine Learning. 2021;110(11-12):3245-3262. doi:10.1007/s10994-021-06053-z
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| arXiv
2021 |
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Journal Article |
IST-REx-ID: 18234
Baskin C, Zheltonozhkii E, Rozen T, et al. NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. 2021;9(17). doi:10.3390/math9172144
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| arXiv
2021 |
Published |
Journal Article |
IST-REx-ID: 18235 |
Doveh S, Schwartz E, Xue C, et al. MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. 2021;149:130-136. doi:10.1016/j.patrec.2021.05.010
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