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5757 Publications


2020 | Journal Article | IST-REx-ID: 8644 | OA
Detecting composite orders in layered models via machine learning
W. Rzadkowski, N. Defenu, S. Chiacchiera, A. Trombettoni, G. Bighin, New Journal of Physics 22 (2020).
[Published Version] View | Files available | DOI | WoS
 

2020 | Journal Article | IST-REx-ID: 8705 | OA
Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit
K. Mysliwy, R. Seiringer, Annales Henri Poincare 21 (2020) 4003–4025.
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 14125 | OA
SCIM: Universal single-cell matching with unpaired feature sets
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
A commentary on the unsupervised learning of disentangled representations
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, in:, The 34th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2020, pp. 13681–13684.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 14188 | OA
Weakly-supervised disentanglement without compromises
F. Locatello, B. Poole, G. Rätsch, B. Schölkopf, O. Bachem, M. Tschannen, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 6348–6359.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 14187 | OA
Stochastic Frank-Wolfe for constrained finite-sum minimization
G. Négiar, G. Dresdner, A. Tsai, L.E. Ghaoui, F. Locatello, R.M. Freund, F. Pedregosa, in:, Proceedings of the 37th International Conference on Machine Learning, 2020, pp. 7253–7262.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 14195 | OA
A sober look at the unsupervised learning of disentangled representations and their evaluation
F. Locatello, S. Bauer, M. Lucic, G. Rätsch, S. Gelly, B. Schölkopf, O. Bachem, Journal of Machine Learning Research 21 (2020).
[Published Version] View | Download Published Version (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 7569 | OA
The relation between crosstalk and gene regulation form revisited
R. Grah, T. Friedlander, PLOS Computational Biology 16 (2020).
[Published Version] View | Files available | DOI | WoS
 

2020 | Preprint | IST-REx-ID: 8813 | OA
Novel imprints in mouse blastocysts are predominantly DNA methylation independent
L. Santini, F. Halbritter, F. Titz-Teixeira, T. Suzuki, M. Asami, J. Ramesmayer, X. Ma, A. Lackner, N. Warr, F. Pauler, S. Hippenmeyer, E. Laue, M. Farlik, C. Bock, A. Beyer, A.C.F. Perry, M. Leeb, BioRxiv (n.d.).
[Preprint] View | DOI | Download Preprint (ext.) | PubMed | Europe PMC
 

2020 | Research Data Reference | IST-REx-ID: 9777 | OA
Maximizing crosstalk
R. Grah, T. Friedlander, (2020).
View | Files available | DOI | Download None (ext.)
 

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