Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
4958 Publications
2021 | Published | Journal Article | IST-REx-ID: 7463 | 
Lombardi F, Shriki O, Herrmann HJ, de Arcangelis L. Long-range temporal correlations in the broadband resting state activity of the human brain revealed by neuronal avalanches. Neurocomputing. 2021;461:657-666. doi:10.1016/j.neucom.2020.05.126
[Preprint]
View
| DOI
| Download Preprint (ext.)
| WoS
2021 | Published | Journal Article | IST-REx-ID: 14117 |
Scholkopf B, Locatello F, Bauer S, et al. Toward causal representation learning. Proceedings of the IEEE. 2021;109(5):612-634. doi:10.1109/jproc.2021.3058954
[Published Version]
View
| DOI
| Download Published Version (ext.)
| arXiv
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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 | Published | 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.
[Published Version]
View
| Download Published Version (ext.)
| 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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 | Published | 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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 | Published | 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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 | Published | 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
[Published Version]
View
| DOI
| Download Published Version (ext.)
| 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.
[Preprint]
View
| Download Preprint (ext.)
| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14221 |
Locatello F. Enforcing and discovering structure in machine learning. arXiv. doi:10.48550/arXiv.2111.13693
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 14278 |
Koval I. Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv. doi:10.48550/ARXIV.2111.12171
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Published | 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.
View
2021 | Published | Journal Article | IST-REx-ID: 14800 |
Chang C, Chen W, Chen Y, Chen Y, Chen Y, Ding F, Fan C, Fan HJ, Fan Z, Gong C, Gong Y, He Q, Hong X, Hu S, Hu W, Huang W, Huang Y, Ji W, Li D, Li LJ, Li Q, Lin L, Ling C, Liu M, Liu N, Liu Z, Loh KP, Ma J, Miao F, Peng H, Shao M, Song L, Su S, Sun S, Tan C, Tang Z, Wang D, Wang H, Wang J, Wang X, Wang X, Wee ATS, Wei Z, Wu Y, Wu ZS, Xiong J, Xiong Q, Xu W, Yin P, Zeng H, Zeng Z, Zhai T, Zhang H, Zhang H, Zhang Q, Zhang T, Zhang X, Zhao LD, Zhao M, Zhao W, Zhao Y, Zhou KG, Zhou X, Zhou Y, Zhu H, Zhang H, Liu Z. 2021. Recent progress on two-dimensional materials. Acta Physico-Chimica Sinica. 37(12), 2108017.
[Submitted Version]
View
| DOI
| Download Submitted Version (ext.)
2021 | Published | Journal Article | IST-REx-ID: 14889 |
Leopold NK, Mitrouskas DJ, Rademacher SAE, Schlein B, Seiringer R. Landau–Pekar equations and quantum fluctuations for the dynamics of a strongly coupled polaron. Pure and Applied Analysis. 2021;3(4):653-676. doi:10.2140/paa.2021.3.653
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Published | Journal Article | IST-REx-ID: 14890 |
Bossmann L, Petrat SP, Pickl P, Soffer A. Beyond Bogoliubov dynamics. Pure and Applied Analysis. 2021;3(4):677-726. doi:10.2140/paa.2021.3.677
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Published | Book Chapter | IST-REx-ID: 14984
Stankowski S, Shipilina D, Westram AM. Hybrid Zones. In: Encyclopedia of Life Sciences. Vol 2. eLS. Wiley; 2021. doi:10.1002/9780470015902.a0029355
View
| DOI
2021 | Published | Book Chapter | IST-REx-ID: 14987
Lampert C. Zero-Shot Learning. In: Ikeuchi K, ed. Computer Vision. 2nd ed. Cham: Springer; 2021:1395-1397. doi:10.1007/978-3-030-63416-2_874
View
| DOI
2021 | Research Data Reference | IST-REx-ID: 14988 |
Johnson AJ. Raw data from Johnson et al, PNAS, 2021. 2021. doi:10.5281/ZENODO.5747100
[Published Version]
View
| Files available
| DOI
| Download Published Version (ext.)
2021 | Published | Journal Article | IST-REx-ID: 15013 |
Alt J, Erdös L, Krüger TH. Spectral radius of random matrices with independent entries. Probability and Mathematical Physics. 2021;2(2):221-280. doi:10.2140/pmp.2021.2.221
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2021 | Published | Journal Article | IST-REx-ID: 9158 |
De Nicola S. Disentanglement approach to quantum spin ground states: Field theory and stochastic simulation. Journal of Statistical Mechanics: Theory and Experiment. 2021;2021(1). doi:10.1088/1742-5468/abc7c7
[Published Version]
View
| Files available
| DOI
| WoS