| 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 | 131 | 2024 |
| Sequence modeling and design from molecular to genome scale with Evo E Nguyen, M Poli, MG Durrant, B Kang, D Katrekar, DB Li, LJ Bartie, ... Science 386 (6723), eado9336, 2024 | 112* | 2024 |
| Differentiating through the Fr\'echet Mean A Lou, I Katsman, Q Jiang, S Belongie, SN Lim, C De Sa ICML 2020, 2020 | 94 | 2020 |
| Neural Manifold Ordinary Differential Equations A Lou, D Lim, I Katsman, L Huang, Q Jiang, SN Lim, C De Sa NeurIPS 2020, 2020 | 89 | 2020 |
| Discrete diffusion modeling by estimating the ratios of the data distribution A Lou, C Meng, S Ermon arXiv preprint arXiv:2310.16834, 2023 | 85* | 2023 |
| 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 | 67 | 2021 |
| Reflected diffusion models A Lou, S Ermon International Conference on Machine Learning, 22675-22701, 2023 | 47 | 2023 |
| Denoising diffusion bridge models L Zhou, A Lou, S Khanna, S Ermon arXiv preprint arXiv:2309.16948, 2023 | 40 | 2023 |
| 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 | 22 | 2021 |
| 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 | 13 | 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 | 11 | 2024 |
| Scaling Riemannian Diffusion Models A Lou, M Xu, S Ermon arXiv preprint arXiv:2310.20030, 2023 | 8 | 2023 |
| Learning Complex Geometric Structures from Data with Deep Riemannian Manifolds A Lou, M Nickel, M Mukadam, B Amos | 4* | |
| Geometric trajectory diffusion models J Han, M Xu, A Lou, H Ye, S Ermon arXiv preprint arXiv:2410.13027, 2024 | 2 | 2024 |
| 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確認したメール アドレス: cs.stanford.edu