Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds. - Josep Domingo-Ferrer; Sara Ricci; Carles Domingo-Enrich (Inf. Sci., 2018)

Extra-gradient with player sampling for provable fast convergence in n-player games. - Samy Jelassi; Carles Domingo-Enrich; Damien Scieur; Arthur Mensch; Joan Bruna (CoRR, 2019)

Extra-gradient with player sampling for faster convergence in n-player games. - Samy Jelassi; Carles Domingo-Enrich; Damien Scieur; Arthur Mensch; Joan Bruna (ICML, 2020)

A mean-field analysis of two-player zero-sum games. - Carles Domingo-Enrich; Samy Jelassi; Arthur Mensch; Grant M. Rotskoff; Joan Bruna (NeurIPS, 2020)

Average-case Acceleration for Bilinear Games and Normal Matrices. - Carles Domingo-Enrich; Fabian Pedregosa; Damien Scieur (ICLR, 2021)

On Energy-Based Models with Overparametrized Shallow Neural Networks. - Carles Domingo-Enrich; Alberto Bietti; Eric Vanden-Eijnden; Joan Bruna (ICML, 2021)

Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. - Carles Domingo-Enrich; Youssef Mroueh (NeurIPS, 2021)

Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks. - Carles Domingo-Enrich; Alberto Bietti; Marylou Gabrié; Joan Bruna; Eric Vanden-Eijnden (CoRR, 2021)

Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. - Carles Domingo-Enrich (COLT, 2022)

Tighter Sparse Approximation Bounds for ReLU Neural Networks. - Carles Domingo-Enrich; Youssef Mroueh (ICLR, 2022)

Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. - Carles Domingo-Enrich; Youssef Mroueh (CoRR, 2022)

Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis. - Carles Domingo-Enrich (CoRR, 2022)

Compress Then Test: Powerful Kernel Testing in Near-linear Time. - Carles Domingo-Enrich; Raaz Dwivedi; Lester Mackey (AISTATS, 2023)

Learning with Stochastic Orders. - Carles Domingo-Enrich; Yair Schiff; Youssef Mroueh (ICLR, 2023)

Multisample Flow Matching: Straightening Flows with Minibatch Couplings. - Aram-Alexandre Pooladian; Heli Ben-Hamu; Carles Domingo-Enrich; Brandon Amos; Yaron Lipman; Ricky T. Q. Chen (ICML, 2023)

Open Problem: Learning with Variational Objectives on Measures. - Vivien Cabannes; Carles Domingo-Enrich (CoRR, 2023)

Length Generalization in Arithmetic Transformers. - Samy Jelassi; Stéphane d'Ascoli; Carles Domingo-Enrich; Yuhuai Wu; Yuanzhi Li; François Charton (CoRR, 2023)

An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. - Carles Domingo-Enrich; Aram-Alexandre Pooladian (Trans. Mach. Learn. Res., 2023)

Stochastic Optimal Control Matching. - Carles Domingo-Enrich; Jiequn Han; Brandon Amos; Joan Bruna; Ricky T. Q. Chen (NeurIPS, 2024)

Neural Optimal Transport with Lagrangian Costs. - Aram-Alexandre Pooladian; Carles Domingo-Enrich; Ricky T. Q. Chen; Brandon Amos (UAI, 2024)

A Taxonomy of Loss Functions for Stochastic Optimal Control. - Carles Domingo-Enrich (CoRR, 2024)

Generative modeling and Stochastic Control as Dynamics on Probability Distributions - Carles Domingo-Enrich (2024)

Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. - Carles Domingo-Enrich; Michal Drozdzal; Brian Karrer; Ricky T. Q. Chen (ICLR, 2025)

Conditioning Diffusions Using Malliavin Calculus. - Jakiw Pidstrigach; Elizabeth Baker; Carles Domingo-Enrich; George Deligiannidis; Nikolas Nüsken (CoRR, 2025)

Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. - Aaron J. Havens; Benjamin Kurt Miller; Bing Yan; Carles Domingo-Enrich; Anuroop Sriram; Brandon M. Wood; Daniel Levine; Bin Hu; Brandon Amos; Brian Karrer; Xiang Fu 005; Guan-Horng Liu; et al. (CoRR, 2025)

Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference. - Denis Blessing; Julius Berner; Lorenz Richter; Carles Domingo-Enrich; Yuanqi Du; Arash Vahdat; Gerhard Neumann (CoRR, 2025)