| Identifiability results for multimodal contrastive learning I Daunhawer, A Bizeul, E Palumbo, A Marx, JE Vogt arXiv preprint arXiv:2303.09166, 2023 | 26 | 2023 |
| Selective neural coding of object, feature, and geometry spatial cues in humans S Ramanoël, M Durteste, A Bizeul, A Ozier‐Lafontaine, M Bécu, J Sahel, ... Human Brain Mapping 43 (17), 5281-5295, 2022 | 8 | 2022 |
| A Probabilistic Model Behind Self-Supervised Representation Learning A Bizeul, B Schölkopf, C Allen Transactions on Machine Learning Research, 2024 | | 2024 |
| 3DIdentBox: A Toolbox for Identifiability Benchmarking A Bizeul, I Daunhawer, E Palumbo, B Schölkopf, A Marx, JE Vogt 2nd Conference on Causal Learning and Reasoning (CLeaR 2023), 2023 | | 2023 |
| Distinct cerebral structures are involved in landmark-vs. geometry-based spatial navigation S Ramanoël, M Durteste, A Bizeul, A Ozier-Lafontaine, M Bécu, ... Society for Neuroscience, 2019 | | 2019 |
| Age-related differences in the neural bases of landmark versus geometric spatial cue processing S Ramanoël, M Durteste, A Bizeul, M Bécu, C Habas, A Arleo Colloque International: Vieillissement, tours, contours et perspective, 2019 | | 2019 |
| Redesigning commercial total hip replacement instruments: an educational project VA Stadelmann, C David-Vaudey, A Bizeul, N Schmutz, V de Poulpiquet, ... Swiss Medical Weekly 149, 75S-75S, 2019 | | 2019 |
| DIETing: Self-Supervised Learning with Instance Discrimination Learns Identifiable Features A Juhos, A Bizeul, P Reizinger, D Klindt, R Balestriero, M Ibrahim, JE Vogt, ... UniReps: 2nd Edition of the Workshop on Unifying Representations in Neural …, 0 | | |
| SimVAE: Narrowing the gap between Discriminative & Generative Self-Supervised Representation Learning A Bizeul, C Allen | | |
| SimVAE: Narrowing the gap between Discriminative & Generative Representation Learning A Bizeul, C Allen NeurIPS 2023 Workshop on Mathematics of Modern Machine Learning, 0 | | |
Julia E VogtETH ZurichVerified email at inf.ethz.ch
