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11357 Publications


2021 | Published | Conference Paper | IST-REx-ID: 14176 | OA
Yèche, Hugo, et al. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” Proceedings of 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 11964–74.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14177 | OA
Träuble, Frederik, et al. “On Disentangled Representations Learned from Correlated Data.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 10401–12.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14178 | OA
Dittadi, Andrea, et al. “On the Transfer of Disentangled Representations in Realistic Settings.” The Ninth International Conference on Learning Representations, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 14179 | OA
Kügelgen, Julius von, et al. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 16451–67.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14180 | OA
Rahaman, Nasim, et al. “Dynamic Inference with Neural Interpreters.” Advances in Neural Information Processing Systems, vol. 34, 2021, pp. 10985–98.
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2021 | Published | Conference Paper | IST-REx-ID: 14181 | OA
Dresdner, Gideon, et al. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, 2021, pp. 2337–43, doi:10.24963/ijcai.2021/322.
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14182 | OA
Träuble, Frederik, et al. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” 35th Conference on Neural Information Processing Systems, vol. 34, 2021, pp. 116–28.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2021 | Patent | IST-REx-ID: 14185 | OA
Weissenborn, Dirk, et al. Object-Centric Learning with Slot Attention. 2021.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2021 | Submitted | Preprint | IST-REx-ID: 14221 | OA
Locatello, Francesco. “Enforcing and Discovering Structure in Machine Learning.” ArXiv, 2111.13693, doi:10.48550/arXiv.2111.13693.
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2021 | Published | Conference Paper | IST-REx-ID: 14332
Träuble, Frederik, et al. “Representation Learning for Out-of-Distribution Generalization in Reinforcement Learning.” ICML 2021 Workshop on Unsupervised Reinforcement Learning, 2021.
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2021 | Published | Journal Article | IST-REx-ID: 17876
Fu, Tianren, et al. “Single-Molecule Junction Formation in Break-Junction Measurements.” The Journal of Physical Chemistry Letters, vol. 12, no. 44, American Chemical Society, 2021, pp. 10802–07, doi:10.1021/acs.jpclett.1c03160.
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2021 | Published | Journal Article | IST-REx-ID: 17877
Stone, Ilana, et al. “A Single-Molecule Blueprint for Synthesis.” Nature Reviews Chemistry, vol. 5, no. 10, Springer Nature, 2021, pp. 695–710, doi:10.1038/s41570-021-00316-y.
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2021 | Published | Journal Article | IST-REx-ID: 17899 | OA
Zhang, Boyuan, et al. “Destructive Quantum Interference in Heterocyclic Alkanes: The Search for Ultra-Short Molecular Insulators.” Chemical Science, vol. 12, no. 30, Royal Society of Chemistry, 2021, pp. 10299–305, doi:10.1039/d1sc02287c.
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2021 | Published | Journal Article | IST-REx-ID: 17900
Greenwald, Julia E., et al. “Highly Nonlinear Transport across Single-Molecule Junctions via Destructive Quantum Interference.” Nature Nanotechnology, vol. 16, no. 3, Springer Nature, 2021, pp. 313–17, doi:10.1038/s41565-020-00807-x.
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2021 | Published | Journal Article | IST-REx-ID: 17901
Medina Rivero, Samara, et al. “Single-Molecule Conductance in a Unique Cross-Conjugated Tetra(Aminoaryl)Ethene.” Chemical Communications, vol. 57, no. 5, Royal Society of Chemistry, 2021, pp. 591–94, doi:10.1039/d0cc07124b.
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2021 | Published | Journal Article | IST-REx-ID: 18192 | OA
Bohrdt, A., et al. “Analyzing Nonequilibrium Quantum States through Snapshots with Artificial Neural Networks.” Physical Review Letters, vol. 127, no. 15, 150504, American Physical Society, 2021, doi:10.1103/physrevlett.127.150504.
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2021 | Published | Journal Article | IST-REx-ID: 18193 | OA
Palm, F. A., et al. “Bosonic Pfaffian State in the Hofstadter-Bose-Hubbard Model.” Physical Review B, vol. 103, no. 16, L161101, American Physical Society, 2021, doi:10.1103/physrevb.103.l161101.
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2021 | Published | Journal Article | IST-REx-ID: 18233 | OA
Nahshan, Yury, et al. “Loss Aware Post-Training Quantization.” Machine Learning, vol. 110, no. 11–12, Springer Nature, 2021, pp. 3245–62, doi:10.1007/s10994-021-06053-z.
[Preprint] View | Files available | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18234
Baskin, Chaim, et al. “NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.” Mathematics, vol. 9, no. 17, 2144, MDPI, 2021, doi:10.3390/math9172144.
[Published Version] View | DOI | arXiv
 

2021 | Published | Journal Article | IST-REx-ID: 18235 | OA
Doveh, Sivan, et al. “MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification.” Pattern Recognition Letters, vol. 149, Elsevier, 2021, pp. 130–36, doi:10.1016/j.patrec.2021.05.010.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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