Object-centric causal representation learning A Mansouri, J Hartford, K Ahuja, Y Bengio NeurIPS 2022 Workshop on Symmetry and Geometry in Neural Representations, 2022 | 7 | 2022 |
Multi-Domain Causal Representation Learning via Weak Distributional Invariances K Ahuja*, A Mansouri*, Y Wang AISTATS 2024, 2023 | 6 | 2023 |
Reusable Slotwise Mechanisms T Nguyen, A Mansouri, K Madan, K Nguyen, K Ahuja, D Liu, Y Bengio Thirty-seventh Conference on Neural Information Processing Systems, 2023 | 2 | 2023 |
Object-centric architectures enable efficient causal representation learning A Mansouri, J Hartford, Y Zhang, Y Bengio International Conference on Learning Representations, 2023 | 1 | 2023 |
Symbolic Autoencoding for Self-Supervised Sequence Learning MH Amani, A Mansouri*, NM Baldwin*, M Josifoski, M Peyrard, R West arXiv preprint arXiv:2402.10575, 2024 | | 2024 |
On Provable Length and Compositional Generalization K Ahuja, A Mansouri arXiv preprint arXiv:2402.04875, 2024 | | 2024 |
Toward Causal Representation and Structure Learning A Mansouri https://doi.org/1866/32350, 2023 | | 2023 |
Identifying Invariant and Sparse Predictors in High-dimensional Data A Mansouri, S Spinney, A Memarian, P Conrod, I Rish ICML Workshop on Uncertainty and Robustness in Deep Learning, 2021 | | 2021 |