Please note that LibreCat no longer supports Internet Explorer versions 8 or 9 (or earlier).
We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.
5055 Publications
2020 | Journal Article | IST-REx-ID: 8705 |
Mysliwy, K., & Seiringer, R. (2020). Microscopic derivation of the Fröhlich Hamiltonian for the Bose polaron in the mean-field limit. Annales Henri Poincare. Springer Nature. https://doi.org/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. (2020). AMT 2.0: Qualitative and quantitative trace analysis with extended signal temporal logic. International Journal on Software Tools for Technology Transfer. Springer Nature. https://doi.org/10.1007/s10009-020-00582-z
View
| Files available
| DOI
| WoS
2020 | Journal Article | IST-REx-ID: 14125 |
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 |
Locatello, F., Bauer, S., Lucic, M., Rätsch, G., Gelly, S., Schölkopf, B., & Bachem, O. (2020). A commentary on the unsupervised learning of disentangled representations. In The 34th AAAI Conference on Artificial Intelligence (Vol. 34, pp. 13681–13684). New York, NY, United States: Association for the Advancement of Artificial Intelligence. https://doi.org/10.1609/aaai.v34i09.7120
[Preprint]
View
| DOI
| Download Preprint (ext.)
| arXiv
2020 | Conference Paper | IST-REx-ID: 14188 |
Locatello, F., Poole, B., Rätsch, G., Schölkopf, B., Bachem, O., & Tschannen, M. (2020). Weakly-supervised disentanglement without compromises. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 6348–6359). Virtual.
[Preprint]
View
| Download Preprint (ext.)
| arXiv