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9078 Publications


2020 | Preprint | IST-REx-ID: 10012 | OA
Fischer, J. L., Hensel, S., Laux, T., & Simon, T. (n.d.). The local structure of the energy landscape in multiphase mean curvature flow: weak-strong uniqueness and stability of evolutions. arXiv.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2020 | Journal Article | IST-REx-ID: 8755 | OA
Peruzzo, M., Trioni, A., Hassani, F., Zemlicka, M., & Fink, J. M. (2020). Surpassing the resistance quantum with a geometric superinductor. Physical Review Applied. American Physical Society. https://doi.org/10.1103/PhysRevApplied.14.044055
[Published Version] View | Files available | DOI | WoS | arXiv
 

2020 | Journal Article | IST-REx-ID: 7573 | OA
Gladbach, P., Kopfer, E., Maas, J., & Portinale, L. (2020). Homogenisation of one-dimensional discrete optimal transport. Journal de Mathematiques Pures et Appliquees. Elsevier. https://doi.org/10.1016/j.matpur.2020.02.008
[Preprint] View | Files available | DOI | Download Preprint (ext.) | WoS | arXiv
 

2020 | Preprint | IST-REx-ID: 10022 | OA
Forkert, D. L., Maas, J., & Portinale, L. (n.d.). Evolutionary Γ-convergence of entropic gradient flow structures for Fokker-Planck equations in multiple dimensions. arXiv.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2020 | Conference Paper | IST-REx-ID: 8724 | OA
Konstantinov, N. H., Frantar, E., Alistarh, D.-A., & Lampert, C. (2020). On the sample complexity of adversarial multi-source PAC learning. In Proceedings of the 37th International Conference on Machine Learning (Vol. 119, pp. 5416–5425). Online: ML Research Press.
[Published Version] View | Files available | arXiv
 

2020 | Journal Article | IST-REx-ID: 8644 | OA
Rzadkowski, W., Defenu, N., Chiacchiera, S., Trombettoni, A., & Bighin, G. (2020). Detecting composite orders in layered models via machine learning. New Journal of Physics. IOP Publishing. https://doi.org/10.1088/1367-2630/abae44
[Published Version] View | Files available | DOI | WoS
 

2020 | Journal Article | IST-REx-ID: 8705 | OA
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
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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., 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
 

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