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5339 Publications

2023 | Published | Conference Paper | IST-REx-ID: 14084 | OA
Harris DG, Kolmogorov V. Parameter estimation for Gibbs distributions. In: 50th International Colloquium on Automata, Languages, and Programming. Vol 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.ICALP.2023.72
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14085 | OA
Goranci G, Henzinger M. Efficient data structures for incremental exact and approximate maximum flow. In: 50th International Colloquium on Automata, Languages, and Programming. Vol 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.ICALP.2023.69
[Published Version] View | Files available | DOI
 
2023 | Published | Conference Paper | IST-REx-ID: 14086 | OA
Henzinger M, Liu P, Vondrák J, Zheng DW. Faster submodular maximization for several classes of matroids. In: 50th International Colloquium on Automata, Languages, and Programming. Vol 261. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2023. doi:10.4230/LIPIcs.ICALP.2023.74
[Published Version] View | Files available | DOI | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14105 | OA
Sinha S, Gehler P, Locatello F, Schiele B. TeST: Test-time Self-Training under distribution shift. In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Institute of Electrical and Electronics Engineers; 2023. doi:10.1109/wacv56688.2023.00278
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 14192 | OA
Lampart J, Mitrouskas DJ, Mysliwy K. On the global minimum of the energy–momentum relation for the polaron. Mathematical Physics, Analysis and Geometry. 2023;26(3). doi:10.1007/s11040-023-09460-x
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Submitted | Preprint | IST-REx-ID: 14207 | OA
Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery. arXiv. doi:10.48550/arXiv.2306.00600
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14208 | OA
Zhu Z, Liu F, Chrysos GG, Locatello F, Cevher V. Benign overfitting in deep neural networks under lazy training. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:43105-43128.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Submitted | Preprint | IST-REx-ID: 14209 | OA
Burg MF, Wenzel F, Zietlow D, et al. A data augmentation perspective on diffusion models and retrieval. arXiv. doi:10.48550/arXiv.2304.10253
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Submitted | Preprint | IST-REx-ID: 14210 | OA
Fumero M, Wenzel F, Zancato L, et al. Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. doi:10.48550/arXiv.2304.07939
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14211 | OA
Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Causal discovery with score matching on additive models with arbitrary noise. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14212 | OA
Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery with score matching. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14214 | OA
Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric causal representation learning. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14217 | OA
Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. Relative representations enable zero-shot latent space communication. In: The 11th International Conference on Learning Representations. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14218 | OA
Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric learning. In: The 11th International Conference on Learning Representations. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14219 | OA
Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. Unsupervised semantic segmentation with self-supervised object-centric representations. In: The 11th International Conference on Learning Representations. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Conference Paper | IST-REx-ID: 14222 | OA
Tangemann M, Schneider S, Kügelgen J von, et al. Unsupervised object learning via common fate. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
[Preprint] View | Download Preprint (ext.) | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 14238 | OA
Kranabetter L, Kristensen HH, Ghazaryan A, et al. Nonadiabatic laser-induced alignment dynamics of molecules on a surface. Physical Review Letters. 2023;131(5). doi:10.1103/PhysRevLett.131.053201
[Preprint] View | DOI | Download Preprint (ext.) | WoS | PubMed | Europe PMC | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 14239 | OA
Mauri M, Shinder E. Homological Bondal-Orlov localization conjecture for rational singularities. Forum of Mathematics, Sigma. 2023;11. doi:10.1017/fms.2023.65
[Published Version] View | Files available | DOI | WoS | arXiv
 
2023 | Published | Journal Article | IST-REx-ID: 14240 | OA
Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive surface waves. ACM Transactions on Graphics. 2023;42(4). doi:10.1145/3592098
[Published Version] View | Files available | DOI | WoS
 
2023 | Published | Conference Paper | IST-REx-ID: 14241 | OA
Tojo K, Shamir A, Bickel B, Umetani N. Stealth shaper: Reflectivity optimization as surface stylization. In: SIGGRAPH 2023 Conference Proceedings. Association for Computing Machinery; 2023. doi:10.1145/3588432.3591542
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

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