| Differentiating through the Fr\'echet Mean A Lou, I Katsman, Q Jiang, S Belongie, SN Lim, C De Sa ICML 2020, 2020 | 78 | 2020 |
| Neural Manifold Ordinary Differential Equations A Lou, D Lim, I Katsman, L Huang, Q Jiang, SN Lim, C De Sa NeurIPS 2020, 2020 | 72 | 2020 |
| Intrinsic dimension, persistent homology and generalization in neural networks T Birdal, A Lou, LJ Guibas, U Simsekli Advances in Neural Information Processing Systems 34, 6776-6789, 2021 | 52 | 2021 |
| Diffusion model alignment using direct preference optimization B Wallace, M Dang, R Rafailov, L Zhou, A Lou, S Purushwalkam, S Ermon, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 40 | 2024 |
| Reflected diffusion models A Lou, S Ermon International Conference on Machine Learning, 22675-22701, 2023 | 32 | 2023 |
| Sequence modeling and design from molecular to genome scale with Evo E Nguyen, M Poli, MG Durrant, AW Thomas, B Kang, J Sullivan, MY Ng, ... BioRxiv, 2024.02. 27.582234, 2024 | 18* | 2024 |
| Equivariant manifold flows I Katsman, A Lou, D Lim, Q Jiang, SN Lim, CM De Sa Advances in Neural Information Processing Systems 34, 10600-10612, 2021 | 17 | 2021 |
| Discrete diffusion modeling by estimating the ratios of the data distribution A Lou, C Meng, S Ermon arXiv preprint arXiv:2310.16834, 2023 | 16 | 2023 |
| Denoising diffusion bridge models L Zhou, A Lou, S Khanna, S Ermon arXiv preprint arXiv:2309.16948, 2023 | 12 | 2023 |
| Equivariant graph neural operator for modeling 3d dynamics M Xu, J Han, A Lou, J Kossaifi, A Ramanathan, K Azizzadenesheli, ... arXiv preprint arXiv:2401.11037, 2024 | 5 | 2024 |
| Riemannian residual neural networks I Katsman, E Chen, S Holalkere, A Asch, A Lou, SN Lim, CM De Sa Advances in Neural Information Processing Systems 36, 2024 | 4 | 2024 |
| Learning Complex Geometric Structures from Data with Deep Riemannian Manifolds A Lou, M Nickel, M Mukadam, B Amos | 4* | |
| Scaling Riemannian Diffusion Models A Lou, M Xu, S Ermon arXiv preprint arXiv:2310.20030, 2023 | 3 | 2023 |
| Adversarial Example Decomposition H He, A Lou, Q Jiang, I Katsman, P Pawakapan, S Belongie, SN Lim International Conference on Machine Learning, Workshop on Security and …, 2019 | | 2019 |
Stefano ErmonStanford University在 cs.stanford.edu 的电子邮件经过验证
