Please note that ISTA Research Explorer no longer supports Internet Explorer versions 8 or 9 (or earlier).

We recommend upgrading to the latest Internet Explorer, Google Chrome, or Firefox.

70 Publications


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
 

2022 | Published | Conference Paper | IST-REx-ID: 14093 | OA
Dresdner G, Vladarean M-L, Rätsch G, Locatello F, Cevher V, Yurtsever A. Faster one-sample stochastic conditional gradient method for composite convex minimization. In: Proceedings of the 25th International Conference on Artificial Intelligence and Statistics. Vol 151. ML Research Press; 2022:8439-8457.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14106 | OA
Lohaus M, Kleindessner M, Kenthapadi K, Locatello F, Russell C. Are two heads the same as one? Identifying disparate treatment in fair neural networks. In: 36th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2022:16548-16562.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14107 | OA
Yao J, Hong Y, Wang C, et al. Self-supervised amodal video object segmentation. In: 36th Conference on Neural Information Processing Systems. ; 2022. doi:10.48550/arXiv.2210.12733
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14114 | OA
Zietlow D, Lohaus M, Balakrishnan G, et al. Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers. In: 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Institute of Electrical and Electronics Engineers; 2022:10400-10411. doi:10.1109/cvpr52688.2022.01016
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14168 | OA
Rahaman N, Weiss M, Locatello F, et al. Neural attentive circuits. In: 36th Conference on Neural Information Processing Systems. Vol 35. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Conference Paper | IST-REx-ID: 14170 | OA
Dittadi A, Papa S, Vita MD, Schölkopf B, Winther O, Locatello F. Generalization and robustness implications in object-centric learning. In: Proceedings of the 39th International Conference on Machine Learning. Vol 2022. ML Research Press; :5221-5285.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14171 | OA
Rolland P, Cevher V, Kleindessner M, et al. Score matching enables causal discovery of nonlinear additive noise  models. In: Proceedings of the 39th International Conference on Machine Learning. Vol 162. ML Research Press; 2022:18741-18753.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14172 | OA
Schott L, Kügelgen J von, Träuble F, et al. Visual representation learning does not generalize strongly within the  same domain. In: 10th International Conference on Learning Representations. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14173 | OA
Wenzel F, Dittadi A, Gehler PV, et al. Assaying out-of-distribution generalization in transfer learning. In: 36th Conference on Neural Information Processing Systems. Vol 35. Neural Information Processing Systems Foundation; 2022:7181-7198.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14174 | OA
Dittadi A, Träuble F, Wüthrich M, et al. The role of pretrained representations for the OOD generalization of  reinforcement learning agents. In: 10th International Conference on Learning Representations. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Published | Conference Paper | IST-REx-ID: 14175 | OA
Makansi O, Kügelgen J von, Locatello F, et al. You mostly walk alone: Analyzing feature attribution in trajectory prediction. In: 10th International Conference on Learning Representations. ; 2022.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Conference Paper | IST-REx-ID: 14215 | OA
Rahaman N, Weiss M, Träuble F, et al. A general purpose neural architecture for geospatial systems. In: 36th Conference on Neural Information Processing Systems.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Preprint | IST-REx-ID: 14216 | OA
Norelli A, Fumero M, Maiorca V, Moschella L, Rodolà E, Locatello F. ASIF: Coupled data turns unimodal models to multimodal without training. arXiv. doi:10.48550/arXiv.2210.01738
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Submitted | Preprint | IST-REx-ID: 14220 | OA
Mambelli D, Träuble F, Bauer S, Schölkopf B, Locatello F. Compositional multi-object reinforcement learning with linear relation networks. arXiv. doi:10.48550/arXiv.2201.13388
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2021 | Published | Conference Paper | IST-REx-ID: 14332
Träuble F, Dittadi A, Wuthrich M, et al. Representation learning for out-of-distribution generalization in reinforcement learning. In: ICML 2021 Workshop on Unsupervised Reinforcement Learning. ; 2021.
View
 

2021 | Published | Journal Article | IST-REx-ID: 14117 | OA
Scholkopf B, Locatello F, Bauer S, et al. Toward causal representation learning. Proceedings of the IEEE. 2021;109(5):612-634. doi:10.1109/jproc.2021.3058954
[Published Version] View | DOI | Download Published Version (ext.) | arXiv
 

Filters and Search Terms

department=FrLo

Search

Filter Publications

Display / Sort

Citation Style: AMA

Export / Embed