| Provably Learning Object-Centric Representations J Brady*, RS Zimmermann*, Y Sharma, B Schölkopf, J von Kügelgen, ... ICML 2023 (Oral), 2023 | 38* | 2023 |
| Embrace the gap: Vaes perform independent mechanism analysis P Reizinger*, L Gresele*, J Brady*, J Von Kügelgen, D Zietlow, ... NeurIPS 2022, 2022 | 23 | 2022 |
| Provable Compositional Generalization for Object-Centric Learning T Wiedemer*, J Brady*, A Panfilov*, A Juhos*, M Bethge, W Brendel ICLR 2024 (Oral), 2023 | 17 | 2023 |
| Normalizing flows for microscopic many-body calculations: an application to the nuclear equation of state J Brady, P Wen, JW Holt Physical Review Letters 127 (6), 062701, 2021 | 8 | 2021 |
| iSprites: A Dataset for Identifiable Multi-Object Representation Learning J Brady, G Roeder ICML 2020 Workshop on Object-Oriented Learning (OOL): Perception …, 2020 | 2 | 2020 |
| Interaction Asymmetry: A General Principle for Learning Composable Abstractions J Brady, J von Kügelgen, S Lachapelle, S Buchholz, T Kipf, W Brendel ICLR 2025, 2024 | | 2024 |