| Multisample flow matching: Straightening flows with minibatch couplings AA Pooladian, H Ben-Hamu, C Domingo-Enrich, B Amos, Y Lipman, ... arXiv preprint arXiv:2304.14772, 2023 | 123 | 2023 |
| A mean-field analysis of two-player zero-sum games C Domingo-Enrich, S Jelassi, A Mensch, G Rotskoff, J Bruna Advances in neural information processing systems 33, 20215-20226, 2020 | 61 | 2020 |
| Length generalization in arithmetic transformers S Jelassi, S d'Ascoli, C Domingo-Enrich, Y Wu, Y Li, F Charton arXiv preprint arXiv:2306.15400, 2023 | 37 | 2023 |
| Adjoint matching: Fine-tuning flow and diffusion generative models with memoryless stochastic optimal control C Domingo-Enrich, M Drozdzal, B Karrer, RTQ Chen arXiv preprint arXiv:2409.08861, 2024 | 22 | 2024 |
| Neural optimal transport with lagrangian costs AA Pooladian, C Domingo-Enrich, RTQ Chen, B Amos arXiv preprint arXiv:2406.00288, 2024 | 19 | 2024 |
| Compress then test: Powerful kernel testing in near-linear time C Domingo-Enrich, R Dwivedi, L Mackey arXiv preprint arXiv:2301.05974, 2023 | 19 | 2023 |
| Extragradient with player sampling for faster Nash equilibrium finding S Jelassi, C Domingo-Enrich, D Scieur, A Mensch, J Bruna Proceedings of the International Conference on Machine Learning, 2020 | 16* | 2020 |
| Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds J Domingo-Ferrer, S Ricci, C Domingo-Enrich Information Sciences 436, 320-342, 2018 | 16 | 2018 |
| An explicit expansion of the Kullback-Leibler divergence along its Fisher-Rao gradient flow C Domingo-Enrich, AA Pooladian arXiv preprint arXiv:2302.12229, 2023 | 14 | 2023 |
| Auditing Differential Privacy in High Dimensions with the Kernel Quantum R\'enyi Divergence C Domingo-Enrich, Y Mroueh arXiv preprint arXiv:2205.13941, 2022 | 10 | 2022 |
| On energy-based models with overparametrized shallow neural networks C Domingo-Enrich, A Bietti, E Vanden-Eijnden, J Bruna International Conference on Machine Learning, 2771-2782, 2021 | 9 | 2021 |
| Average-case acceleration for bilinear games and normal matrices C Domingo-Enrich, F Pedregosa, D Scieur arXiv preprint arXiv:2010.02076, 2020 | 9 | 2020 |
| Stochastic optimal control matching C Domingo i Enrich, J Han, B Amos, J Bruna, RTQ Chen Advances in Neural Information Processing Systems 37, 112459-112504, 2024 | 8 | 2024 |
| Dual training of energy-based models with overparametrized shallow neural networks C Domingo-Enrich, A Bietti, M Gabrié, J Bruna, E Vanden-Eijnden arXiv preprint arXiv:2107.05134, 2021 | 7 | 2021 |
| Tighter sparse approximation bounds for ReLU neural networks C Domingo-Enrich, Y Mroueh arXiv preprint arXiv:2110.03673, 2021 | 6 | 2021 |
| Learning with stochastic orders C Domingo-Enrich, Y Schiff, Y Mroueh arXiv preprint arXiv:2205.13684, 2022 | 3 | 2022 |
| Simultaneous transport evolution for minimax equilibria on measures C Domingo-Enrich, J Bruna arXiv preprint arXiv:2202.06460, 2022 | 3 | 2022 |
| Toward deep learning sequence–structure co-generation for protein design C Wang, S Alamdari, C Domingo-Enrich, AP Amini, KK Yang Current Opinion in Structural Biology 91, 103018, 2025 | 2 | 2025 |
| A taxonomy of loss functions for stochastic optimal control C Domingo-Enrich arXiv preprint arXiv:2410.00345, 2024 | 2 | 2024 |
| Separation results between fixed-kernel and feature-learning probability metrics C Domingo i Enrich, Y Mroueh Advances in Neural Information Processing Systems 34, 19248-19260, 2021 | 1 | 2021 |
Joan BrunaProfessor of Computer Science, Data Science & Mathematics (aff), Courant Institute and CDS, NYU在 cims.nyu.edu 的電子郵件地址已通過驗證
