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11357 Publications


2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
Yèche, H., Dresdner, G., Locatello, F., Hüser, M., & Rätsch, G. (2021). Neighborhood contrastive learning applied to online patient monitoring. In Proceedings of 38th International Conference on Machine Learning (Vol. 139, pp. 11964–11974). Virtual: ML Research Press.
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2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
Träuble, F., Creager, E., Kilbertus, N., Locatello, F., Dittadi, A., Goyal, A., … Bauer, S. (2021). On disentangled representations learned from correlated data. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 10401–10412). Virtual: ML Research Press.
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2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
Dittadi, A., Träuble, F., Locatello, F., Wüthrich, M., Agrawal, V., Winther, O., … Schölkopf, B. (2021). On the transfer of disentangled representations in realistic settings. In The Ninth International Conference on Learning Representations. Virtual.
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2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen, J. von, Sharma, Y., Gresele, L., Brendel, W., Schölkopf, B., Besserve, M., & Locatello, F. (2021). Self-supervised learning with data augmentations provably isolates content from style. In Advances in Neural Information Processing Systems (Vol. 34, pp. 16451–16467). Virtual.
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2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman, N., Gondal, M. W., Joshi, S., Gehler, P., Bengio, Y., Locatello, F., & Schölkopf, B. (2021). Dynamic inference with neural interpreters. In Advances in Neural Information Processing Systems (Vol. 34, pp. 10985–10998). Virtual.
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2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
Dresdner, G., Shekhar, S., Pedregosa, F., Locatello, F., & Rätsch, G. (2021). Boosting variational inference with locally adaptive step-sizes. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (pp. 2337–2343). Montreal, Canada: International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2021/322
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2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Träuble, F., Kügelgen, J. von, Kleindessner, M., Locatello, F., Schölkopf, B., & Gehler, P. (2021). Backward-compatible prediction updates: A probabilistic approach. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 116–128). Virtual.
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2021 | Patent | IST-REx-ID: 14185 | OA
Weissenborn, D., Uszkoreit, J., Unterthiner, T., Mahendran, A., Locatello, F., Kipf, T., … Dosovitskiy, A. (2021). Object-centric learning with slot attention.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA
Locatello, F. (n.d.). Enforcing and discovering structure in machine learning. arXiv. https://doi.org/10.48550/arXiv.2111.13693
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2021 | Published | Conference Paper | IST-REx-ID: 14332
Träuble, F., Dittadi, A., Wuthrich, M., Widmaier, F., Gehler, P. V., Winther, O., … Bauer, S. (2021). Representation learning for out-of-distribution generalization in reinforcement learning. In ICML 2021 Workshop on Unsupervised Reinforcement Learning. Virtual.
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2021 | Published | Journal Article | IST-REx-ID: 17876
Fu, T., Frommer, K., Nuckolls, C., & Venkataraman, L. (2021). Single-molecule junction formation in break-junction measurements. The Journal of Physical Chemistry Letters. American Chemical Society. https://doi.org/10.1021/acs.jpclett.1c03160
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2021 | Published | Journal Article | IST-REx-ID: 17877
Stone, I., Starr, R. L., Zang, Y., Nuckolls, C., Steigerwald, M. L., Lambert, T. H., … Venkataraman, L. (2021). A single-molecule blueprint for synthesis. Nature Reviews Chemistry. Springer Nature. https://doi.org/10.1038/s41570-021-00316-y
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2021 | Published | Journal Article | IST-REx-ID: 17899 | OA
Zhang, B., Garner, M. H., Li, L., Campos, L. M., Solomon, G. C., & Venkataraman, L. (2021). Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators. Chemical Science. Royal Society of Chemistry. https://doi.org/10.1039/d1sc02287c
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2021 | Published | Journal Article | IST-REx-ID: 17900
Greenwald, J. E., Cameron, J., Findlay, N. J., Fu, T., Gunasekaran, S., Skabara, P. J., & Venkataraman, L. (2021). Highly nonlinear transport across single-molecule junctions via destructive quantum interference. Nature Nanotechnology. Springer Nature. https://doi.org/10.1038/s41565-020-00807-x
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2021 | Published | Journal Article | IST-REx-ID: 17901
Medina Rivero, S., García Arroyo, P., Li, L., Gunasekaran, S., Stuyver, T., Mancheño, M. J., … Casado, J. (2021). Single-molecule conductance in a unique cross-conjugated tetra(aminoaryl)ethene. Chemical Communications. Royal Society of Chemistry. https://doi.org/10.1039/d0cc07124b
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2021 | Published | Journal Article | IST-REx-ID: 18192 | OA
Bohrdt, A., Kim, S., Lukin, A., Rispoli, M., Schittko, R., Knap, M., … Leonard, J. (2021). Analyzing nonequilibrium quantum states through snapshots with artificial neural networks. Physical Review Letters. American Physical Society. https://doi.org/10.1103/physrevlett.127.150504
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2021 | Published | Journal Article | IST-REx-ID: 18193 | OA
Palm, F. A., Buser, M., Leonard, J., Aidelsburger, M., Schollwöck, U., & Grusdt, F. (2021). Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model. Physical Review B. American Physical Society. https://doi.org/10.1103/physrevb.103.l161101
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2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Y., Chmiel, B., Baskin, C., Zheltonozhskii, E., Banner, R., Bronstein, A. M., & Mendelson, A. (2021). Loss aware post-training quantization. Machine Learning. Springer Nature. https://doi.org/10.1007/s10994-021-06053-z
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, C., Zheltonozhkii, E., Rozen, T., Liss, N., Chai, Y., Schwartz, E., … Mendelson, A. (2021). NICE: Noise Injection and Clamping Estimation for neural network quantization. Mathematics. MDPI. https://doi.org/10.3390/math9172144
[Published Version] View | DOI | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, S., Schwartz, E., Xue, C., Feris, R., Bronstein, A. M., Giryes, R., & Karlinsky, L. (2021). MetAdapt: Meta-learned task-adaptive architecture for few-shot classification. Pattern Recognition Letters. Elsevier. https://doi.org/10.1016/j.patrec.2021.05.010
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