Carles Domingo-Enrich

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Topics

Sparse Approximation

High Dimensions

Massively Multiplayer Online Role Playing Games

Top Venues

Publications

Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
Neural Optimal Transport with Lagrangian Costs. CoRR (2024)
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR (2023)
Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML (2023)
Vivien Cabannes, Carles Domingo-Enrich
Open Problem: Learning with Variational Objectives on Measures. CoRR (2023)
Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
Length Generalization in Arithmetic Transformers. CoRR (2023)
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Compress Then Test: Powerful Kernel Testing in Near-linear Time. CoRR (2023)
Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
Stochastic Optimal Control Matching. CoRR (2023)
Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
Compress Then Test: Powerful Kernel Testing in Near-linear Time. AISTATS (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. ICLR (2023)
Carles Domingo-Enrich, Aram-Alexandre Pooladian
An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. Trans. Mach. Learn. Res. 2023 (2023)
Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
Learning with Stochastic Orders. CoRR (2022)
Carles Domingo-Enrich, Joan Bruna
Simultaneous Transport Evolution for Minimax Equilibria on Measures. CoRR (2022)
Carles Domingo-Enrich
Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis. CoRR (2022)
Carles Domingo-Enrich, Youssef Mroueh
Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR (2022)
Carles Domingo-Enrich
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. COLT (2022)
Carles Domingo-Enrich, Youssef Mroueh
Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR (2022)
Carles Domingo-Enrich, Alberto Bietti, Marylou Gabrié, Joan Bruna, Eric Vanden-Eijnden
Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR (2021)
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
On Energy-Based Models with Overparametrized Shallow Neural Networks. ICML (2021)
Carles Domingo-Enrich
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. CoRR (2021)
Carles Domingo-Enrich, Youssef Mroueh
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR (2021)
Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
On Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR (2021)
Carles Domingo-Enrich, Youssef Mroueh
Tighter Sparse Approximation Bounds for ReLU Neural Networks. CoRR (2021)
Carles Domingo-Enrich, Youssef Mroueh
Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS (2021)
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
Average-case Acceleration for Bilinear Games and Normal Matrices. ICLR (2021)
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
A mean-field analysis of two-player zero-sum games. CoRR (2020)
Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
Average-case Acceleration for Bilinear Games and Normal Matrices. CoRR (2020)
Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
A mean-field analysis of two-player zero-sum games. NeurIPS (2020)
Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
Extra-gradient with player sampling for faster convergence in n-player games. ICML (2020)
Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
Extra-gradient with player sampling for provable fast convergence in n-player games. CoRR (2019)
Josep Domingo-Ferrer, Sara Ricci, Carles Domingo-Enrich
Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds. Inf. Sci. (2018)