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9084 Publications


2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov, Nikola H., et al. “On the Sample Complexity of Adversarial Multi-Source PAC Learning.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, ML Research Press, 2020, pp. 5416–25.
[Published Version] View | Files available | arXiv
 

2020 | Journal Article | IST-REx-ID: 8644 | OA
Rzadkowski, Wojciech, et al. “Detecting Composite Orders in Layered Models via Machine Learning.” New Journal of Physics, vol. 22, no. 9, 093026, IOP Publishing, 2020, doi:10.1088/1367-2630/abae44.
[Published Version] View | Files available | DOI | WoS
 

2020 | Journal Article | IST-REx-ID: 8705 | OA
Mysliwy, Krzysztof, and Robert Seiringer. “Microscopic Derivation of the Fröhlich Hamiltonian for the Bose Polaron in the Mean-Field Limit.” Annales Henri Poincare, vol. 21, no. 12, Springer Nature, 2020, pp. 4003–25, doi:10.1007/s00023-020-00969-3.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 10861
Nickovic, Dejan, et al. “AMT 2.0: Qualitative and Quantitative Trace Analysis with Extended Signal Temporal Logic.” International Journal on Software Tools for Technology Transfer, vol. 22, no. 6, Springer Nature, 2020, pp. 741–58, 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, Francesco, et al. “A Commentary on the Unsupervised Learning of Disentangled Representations.” The 34th AAAI Conference on Artificial Intelligence, vol. 34, no. 9, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–84, doi:10.1609/aaai.v34i09.7120.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 14188 | OA
Locatello, Francesco, et al. “Weakly-Supervised Disentanglement without Compromises.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 6348–6359.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 14187 | OA
Négiar, Geoffrey, et al. “Stochastic Frank-Wolfe for Constrained Finite-Sum Minimization.” Proceedings of the 37th International Conference on Machine Learning, vol. 119, 2020, pp. 7253–62.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 14195 | OA
Locatello, Francesco, et al. “A Sober Look at the Unsupervised Learning of Disentangled Representations and Their Evaluation.” Journal of Machine Learning Research, vol. 21, 209, MIT Press, 2020.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 7569 | OA
Grah, Rok, and Tamar Friedlander. “The Relation between Crosstalk and Gene Regulation Form Revisited.” PLOS Computational Biology, vol. 16, no. 2, e1007642, Public Library of Science, 2020, doi:10.1371/journal.pcbi.1007642.
[Published Version] View | Files available | DOI | WoS
 

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