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5052 Publications

2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov NH, Frantar E, Alistarh D-A, Lampert C. On the sample complexity of adversarial multi-source PAC learning. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ML Research Press; 2020:5416-5425.
[Published Version] View | Files available | arXiv
 
2020 | Journal Article | IST-REx-ID: 8644 | OA
Rzadkowski W, Defenu N, Chiacchiera S, Trombettoni A, Bighin G. Detecting composite orders in layered models via machine learning. New Journal of Physics. 2020;22(9). doi:10.1088/1367-2630/abae44
[Published Version] View | Files available | DOI | WoS
 
2020 | Journal Article | IST-REx-ID: 8705 | OA
Mysliwy K, Seiringer R. Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. 2020;21(12):4003-4025. doi:10.1007/s00023-020-00969-3
[Published Version] View | Files available | DOI | WoS | arXiv
 
2020 | Journal Article | IST-REx-ID: 10861
Nickovic D, Lebeltel O, Maler O, Ferrere T, Ulus D. AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. 2020;22(6):741-758. doi:10.1007/s10009-020-00582-z
View | Files available | DOI | WoS
 
2020 | Journal Article | IST-REx-ID: 14125 | OA
Stark SG et al. 2020. SCIM: Universal single-cell matching with unpaired feature sets. Bioinformatics. 36(Supplement_2), i919–i927.
[Published Version] View | Files available | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 
2020 | Conference Paper | IST-REx-ID: 14186 | OA
Locatello F, Bauer S, Lucic M, et al. A commentary on the unsupervised learning of disentangled representations. In: The 34th AAAI Conference on Artificial Intelligence. Vol 34. Association for the Advancement of Artificial Intelligence; 2020:13681-13684. doi:10.1609/aaai.v34i09.7120
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 14188 | OA
Locatello F, Poole B, Rätsch G, Schölkopf B, Bachem O, Tschannen M. Weakly-supervised disentanglement without compromises. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:6348–6359.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Conference Paper | IST-REx-ID: 14187 | OA
Négiar G, Dresdner G, Tsai A, et al. Stochastic Frank-Wolfe for constrained finite-sum minimization. In: Proceedings of the 37th International Conference on Machine Learning. Vol 119. ; 2020:7253-7262.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2020 | Journal Article | IST-REx-ID: 14195 | OA
Locatello F, Bauer S, Lucic M, et al. A sober look at the unsupervised learning of disentangled representations and their evaluation. Journal of Machine Learning Research. 2020;21.
[Published Version] View | Download Published Version (ext.) | arXiv
 
2020 | Journal Article | IST-REx-ID: 7569 | OA
Grah R, Friedlander T. The relation between crosstalk and gene regulation form revisited. PLOS Computational Biology. 2020;16(2). doi:10.1371/journal.pcbi.1007642
[Published Version] View | Files available | DOI | WoS
 

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