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11357 Publications


2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
Neighborhood contrastive learning applied to online patient monitoring
H. Yèche, G. Dresdner, F. Locatello, M. Hüser, G. Rätsch, in:, Proceedings of 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 11964–11974.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
On disentangled representations learned from correlated data
F. Träuble, E. Creager, N. Kilbertus, F. Locatello, A. Dittadi, A. Goyal, B. Schölkopf, S. Bauer, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 10401–10412.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
On the transfer of disentangled representations in realistic settings
A. Dittadi, F. Träuble, F. Locatello, M. Wüthrich, V. Agrawal, O. Winther, S. Bauer, B. Schölkopf, in:, The Ninth International Conference on Learning Representations, 2021.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Self-supervised learning with data augmentations provably isolates content from style
J. von Kügelgen, Y. Sharma, L. Gresele, W. Brendel, B. Schölkopf, M. Besserve, F. Locatello, in:, Advances in Neural Information Processing Systems, 2021, pp. 16451–16467.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Dynamic inference with neural interpreters
N. Rahaman, M.W. Gondal, S. Joshi, P. Gehler, Y. Bengio, F. Locatello, B. Schölkopf, in:, Advances in Neural Information Processing Systems, 2021, pp. 10985–10998.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
Boosting variational inference with locally adaptive step-sizes
G. Dresdner, S. Shekhar, F. Pedregosa, F. Locatello, G. Rätsch, in:, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–2343.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Backward-compatible prediction updates: A probabilistic approach
F. Träuble, J. von Kügelgen, M. Kleindessner, F. Locatello, B. Schölkopf, P. Gehler, in:, 35th Conference on Neural Information Processing Systems, 2021, pp. 116–128.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Patent | IST-REx-ID: 14185 | OA
Object-centric learning with slot attention
D. Weissenborn, J. Uszkoreit, T. Unterthiner, A. Mahendran, F. Locatello, T. Kipf, G. Heigold, A. Dosovitskiy, (2021).
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA [Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14332
Representation learning for out-of-distribution generalization in reinforcement learning
F. Träuble, A. Dittadi, M. Wuthrich, F. Widmaier, P.V. Gehler, O. Winther, F. Locatello, O. Bachem, B. Schölkopf, S. Bauer, in:, ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 17876
Single-molecule junction formation in break-junction measurements
T. Fu, K. Frommer, C. Nuckolls, L. Venkataraman, The Journal of Physical Chemistry Letters 12 (2021) 10802–10807.
View | DOI | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 17877
A single-molecule blueprint for synthesis
I. Stone, R.L. Starr, Y. Zang, C. Nuckolls, M.L. Steigerwald, T.H. Lambert, X. Roy, L. Venkataraman, Nature Reviews Chemistry 5 (2021) 695–710.
View | DOI | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 17899 | OA
Destructive quantum interference in heterocyclic alkanes: The search for ultra-short molecular insulators
B. Zhang, M.H. Garner, L. Li, L.M. Campos, G.C. Solomon, L. Venkataraman, Chemical Science 12 (2021) 10299–10305.
[Published Version] View | DOI | Download Published Version (ext.) | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 17900
Highly nonlinear transport across single-molecule junctions via destructive quantum interference
J.E. Greenwald, J. Cameron, N.J. Findlay, T. Fu, S. Gunasekaran, P.J. Skabara, L. Venkataraman, Nature Nanotechnology 16 (2021) 313–317.
View | DOI | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 17901
Single-molecule conductance in a unique cross-conjugated tetra(aminoaryl)ethene
S. Medina Rivero, P. García Arroyo, L. Li, S. Gunasekaran, T. Stuyver, M.J. Mancheño, M. Alonso, L. Venkataraman, J.L. Segura, J. Casado, Chemical Communications 57 (2021) 591–594.
View | DOI | PubMed | Europe PMC
 

2021 | Published | Journal Article | IST-REx-ID: 18192 | OA
Analyzing nonequilibrium quantum states through snapshots with artificial neural networks
A. Bohrdt, S. Kim, A. Lukin, M. Rispoli, R. Schittko, M. Knap, M. Greiner, J. Leonard, Physical Review Letters 127 (2021).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18193 | OA
Bosonic Pfaffian state in the Hofstadter-Bose-Hubbard model
F.A. Palm, M. Buser, J. Leonard, M. Aidelsburger, U. Schollwöck, F. Grusdt, Physical Review B 103 (2021).
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Loss aware post-training quantization
Y. Nahshan, B. Chmiel, C. Baskin, E. Zheltonozhskii, R. Banner, A.M. Bronstein, A. Mendelson, Machine Learning 110 (2021) 3245–3262.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18234
NICE: Noise Injection and Clamping Estimation for neural network quantization
C. Baskin, E. Zheltonozhkii, T. Rozen, N. Liss, Y. Chai, E. Schwartz, R. Giryes, A.M. Bronstein, A. Mendelson, Mathematics 9 (2021).
[Published Version] View | DOI | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
S. Doveh, E. Schwartz, C. Xue, R. Feris, A.M. Bronstein, R. Giryes, L. Karlinsky, Pattern Recognition Letters 149 (2021) 130–136.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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