Követés
Carles Domingo-Enrich
Carles Domingo-Enrich
Microsoft Research
E-mail megerősítve itt: nyu.edu - Kezdőlap
Cím
Hivatkozott rá
Hivatkozott rá
Év
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
1192023
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
612020
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
362023
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
212024
Neural optimal transport with lagrangian costs
AA Pooladian, C Domingo-Enrich, RTQ Chen, B Amos
arXiv preprint arXiv:2406.00288, 2024
182024
Compress then test: Powerful kernel testing in near-linear time
C Domingo-Enrich, R Dwivedi, L Mackey
arXiv preprint arXiv:2301.05974, 2023
182023
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
162018
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
142023
Auditing Differential Privacy in High Dimensions with the Kernel Quantum R\'enyi Divergence
C Domingo-Enrich, Y Mroueh
arXiv preprint arXiv:2205.13941, 2022
102022
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
92021
Average-case acceleration for bilinear games and normal matrices
C Domingo-Enrich, F Pedregosa, D Scieur
arXiv preprint arXiv:2010.02076, 2020
92020
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
82024
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
72021
Tighter sparse approximation bounds for ReLU neural networks
C Domingo-Enrich, Y Mroueh
arXiv preprint arXiv:2110.03673, 2021
62021
Learning with stochastic orders
C Domingo-Enrich, Y Schiff, Y Mroueh
arXiv preprint arXiv:2205.13684, 2022
32022
Simultaneous transport evolution for minimax equilibria on measures
C Domingo-Enrich, J Bruna
arXiv preprint arXiv:2202.06460, 2022
32022
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
22025
A taxonomy of loss functions for stochastic optimal control
C Domingo-Enrich
arXiv preprint arXiv:2410.00345, 2024
22024
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
12021
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