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60 Publications


2023 | Conference Paper | IST-REx-ID: 14105 | OA
TeST: Test-time Self-Training under distribution shift
S. Sinha, P. Gehler, F. Locatello, B. Schiele, in:, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision, Institute of Electrical and Electronics Engineers, 2023.
View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14208 | OA
Benign overfitting in deep neural networks under lazy training
Z. Zhu, F. Liu, G.G. Chrysos, F. Locatello, V. Cevher, in:, Proceedings of the 40th International Conference on Machine Learning, ML Research Press, 2023, pp. 43105–43128.
View | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14210 | OA
Leveraging sparse and shared feature activations for disentangled representation learning
M. Fumero, F. Wenzel, L. Zancato, A. Achille, E. Rodolà, S. Soatto, B. Schölkopf, F. Locatello, ArXiv (n.d.).
View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14209 | OA
A data augmentation perspective on diffusion models and retrieval
M.F. Burg, F. Wenzel, D. Zietlow, M. Horn, O. Makansi, F. Locatello, C. Russell, ArXiv (n.d.).
View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14211 | OA
Causal discovery with score matching on additive models with arbitrary noise
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Conference Paper | IST-REx-ID: 14212 | OA
Scalable causal discovery with score matching
F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14214 | OA
Causal triplet: An open challenge for intervention-centric causal representation learning
Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14213 | OA
Divided attention: Unsupervised multi-object discovery with contextually separated slots
D. Lao, Z. Hu, F. Locatello, Y. Yang, S. Soatto, ArXiv (n.d.).
View | DOI | Download Preprint (ext.) | Inspire
 

2023 | Preprint | IST-REx-ID: 14207 | OA
Rotating features for object discovery
S. Löwe, P. Lippe, F. Locatello, M. Welling, ArXiv (n.d.).
View | DOI | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14217 | OA
Relative representations enable zero-shot latent space communication
L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14222 | OA
Unsupervised object learning via common fate
M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14218 | OA
Bridging the gap to real-world object-centric learning
M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The 11th International Conference on Learning Representations, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Conference Paper | IST-REx-ID: 14219 | OA
Unsupervised semantic segmentation with self-supervised object-centric representations
A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The 11th International Conference on Learning Representations, 2023.
View | Download Preprint (ext.) | arXiv
 

2023 | Preprint | IST-REx-ID: 14333 | OA
Self-compatibility: Evaluating causal discovery without ground truth
P.M. Faller, L.C. Vankadara, A.A. Mastakouri, F. Locatello, D. Janzing, ArXiv (n.d.).
View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14173 | OA
Assaying out-of-distribution generalization in transfer learning
F. Wenzel, A. Dittadi, P.V. Gehler, C.-J.S.-G. Carl-Johann Simon-Gabriel, M. Horn, D. Zietlow, D. Kernert, C. Russell, T. Brox, B. Schiele, B. Schölkopf, F. Locatello, in:, 36th Conference on Neural Information Processing Systems, Neural Information Processing Systems Foundation, 2022, pp. 7181–7198.
View | Download Preprint (ext.) | arXiv
 

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

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

2022 | Conference Paper | IST-REx-ID: 14114 | OA
Leveling down in computer vision: Pareto inefficiencies in fair deep classifiers
D. Zietlow, M. Lohaus, G. Balakrishnan, M. Kleindessner, F. Locatello, B. Scholkopf, C. Russell, in:, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, Institute of Electrical and Electronics Engineers, 2022, pp. 10400–10411.
View | DOI | Download Preprint (ext.) | arXiv
 

2022 | Conference Paper | IST-REx-ID: 14168 | OA
Neural attentive circuits
N. Rahaman, M. Weiss, F. Locatello, C. Pal, Y. Bengio, B. Schölkopf, L.E. Li, N. Ballas, in:, 36th Conference on Neural Information Processing Systems, 2022.
View | Download Preprint (ext.) | arXiv
 

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

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