Carles Domingo-Enrich

46 papers A* 13A 2Journal 30

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Matching Features, Not Tokens: Energy-Based Fine-Tuning of Language Models. CoRR Samy Jelassi, Mujin Kwun, Rosie Zhao, Yuanzhi Li, Nicolò Fusi, Yilun Du, Sham M. Kakade, Carles Domingo-Enrich
2026	J	`jnl`	Reject, Resample, Repeat: Understanding Parallel Reasoning in Language Model Inference. CoRR Noah Golowich, Fan Chen, Dhruv Rohatgi, Raghav Singhal, Carles Domingo-Enrich, Dylan J. Foster, Akshay Krishnamurthy
2025	A*	`conf`	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. ICLR Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2025	A*	`conf`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. ICML Aaron J. Havens, Benjamin Kurt Miller, Bing Yan, Carles Domingo-Enrich, Anuroop Sriram, Daniel S. Levine, Brandon M. Wood, Bin Hu, Brandon Amos, Brian Karrer, Xiang Fu, Guan-Horng Liu, Ricky T. Q. Chen
2025	J	`jnl`	Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching. CoRR 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, Guan-Horng Liu, Ricky T. Q. Chen
2025	J	`jnl`	Any-Order Flexible Length Masked Diffusion. CoRR Jaeyeon Kim, Cheuk Kit Lee, Carles Domingo-Enrich, Yilun Du, Sham M. Kakade, Timothy Ngotiaoco, Sitan Chen, Michael S. Albergo
2025	A*	`conf`	Conditioning Diffusions Using Malliavin Calculus. ICML Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken
2025	J	`jnl`	Conditioning Diffusions Using Malliavin Calculus. CoRR Jakiw Pidstrigach, Elizabeth Louise Baker, Carles Domingo-Enrich, George Deligiannidis, Nikolas Nüsken
2025	J	`jnl`	No Compute Left Behind: Rethinking Reasoning and Sampling with Masked Diffusion Models. CoRR Zachary Horvitz, Raghav Singhal, Hao Zou, Carles Domingo-Enrich, Zhou Yu, Rajesh Ranganath, Kathleen McKeown
2025	J	`jnl`	Test-time scaling of diffusions with flow maps. CoRR Amirmojtaba Sabour, Michael S. Albergo, Carles Domingo-Enrich, Nicholas M. Boffi, Sanja Fidler, Karsten Kreis, Eric Vanden-Eijnden
2025	J	`jnl`	Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference. CoRR Denis Blessing, Julius Berner, Lorenz Richter, Carles Domingo-Enrich, Yuanqi Du, Arash Vahdat, Gerhard Neumann
2025	J	`jnl`	Value Gradient Guidance for Flow Matching Alignment. CoRR Zhen Liu, Tim Z. Xiao, Carles Domingo-Enrich, Weiyang Liu, Dinghuai Zhang
2024	J	`jnl`	A Taxonomy of Loss Functions for Stochastic Optimal Control. CoRR Carles Domingo-Enrich
2024	J	`jnl`	Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control. CoRR Carles Domingo-Enrich, Michal Drozdzal, Brian Karrer, Ricky T. Q. Chen
2024	—	`—`	Generative modeling and Stochastic Control as Dynamics on Probability Distributions Carles Domingo-Enrich
2024	A	`conf`	Neural Optimal Transport with Lagrangian Costs. UAI Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024	J	`jnl`	Neural Optimal Transport with Lagrangian Costs. CoRR Aram-Alexandre Pooladian, Carles Domingo-Enrich, Ricky T. Q. Chen, Brandon Amos
2024	A*	`conf`	Stochastic Optimal Control Matching. NeurIPS Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2023	J	`jnl`	An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow. Trans. Mach. Learn. Res. Carles Domingo-Enrich, Aram-Alexandre Pooladian
2023	A	`conf`	Compress Then Test: Powerful Kernel Testing in Near-linear Time. AISTATS Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
2023	J	`jnl`	Compress Then Test: Powerful Kernel Testing in Near-linear Time. CoRR Carles Domingo-Enrich, Raaz Dwivedi, Lester Mackey
2023	A*	`conf`	Learning with Stochastic Orders. ICLR Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
2023	J	`jnl`	Length Generalization in Arithmetic Transformers. CoRR Samy Jelassi, Stéphane d'Ascoli, Carles Domingo-Enrich, Yuhuai Wu, Yuanzhi Li, François Charton
2023	A*	`conf`	Multisample Flow Matching: Straightening Flows with Minibatch Couplings. ICML Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023	J	`jnl`	Multisample Flow Matching: Straightening Flows with Minibatch Couplings. CoRR Aram-Alexandre Pooladian, Heli Ben-Hamu, Carles Domingo-Enrich, Brandon Amos, Yaron Lipman, Ricky T. Q. Chen
2023	J	`jnl`	Open Problem: Learning with Variational Objectives on Measures. CoRR Vivien Cabannes, Carles Domingo-Enrich
2023	J	`jnl`	Stochastic Optimal Control Matching. CoRR Carles Domingo-Enrich, Jiequn Han, Brandon Amos, Joan Bruna, Ricky T. Q. Chen
2022	J	`jnl`	Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence. CoRR Carles Domingo-Enrich, Youssef Mroueh
2022	J	`jnl`	Computing the Variance of Shuffling Stochastic Gradient Algorithms via Power Spectral Density Analysis. CoRR Carles Domingo-Enrich
2022	A*	`conf`	Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. COLT Carles Domingo-Enrich
2022	J	`jnl`	Learning with Stochastic Orders. CoRR Carles Domingo-Enrich, Yair Schiff, Youssef Mroueh
2022	A*	`conf`	Tighter Sparse Approximation Bounds for ReLU Neural Networks. ICLR Carles Domingo-Enrich, Youssef Mroueh
2021	A*	`conf`	Average-case Acceleration for Bilinear Games and Normal Matrices. ICLR Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
2021	J	`jnl`	Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators. CoRR Carles Domingo-Enrich
2021	J	`jnl`	Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR Carles Domingo-Enrich, Alberto Bietti, Marylou Gabrié, Joan Bruna, Eric Vanden-Eijnden
2021	A*	`conf`	On Energy-Based Models with Overparametrized Shallow Neural Networks. ICML Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
2021	J	`jnl`	On Energy-Based Models with Overparametrized Shallow Neural Networks. CoRR Carles Domingo-Enrich, Alberto Bietti, Eric Vanden-Eijnden, Joan Bruna
2021	A*	`conf`	Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. NeurIPS Carles Domingo-Enrich, Youssef Mroueh
2021	J	`jnl`	Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics. CoRR Carles Domingo-Enrich, Youssef Mroueh
2021	J	`jnl`	Tighter Sparse Approximation Bounds for ReLU Neural Networks. CoRR Carles Domingo-Enrich, Youssef Mroueh
2020	A*	`conf`	A mean-field analysis of two-player zero-sum games. NeurIPS Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
2020	J	`jnl`	A mean-field analysis of two-player zero-sum games. CoRR Carles Domingo-Enrich, Samy Jelassi, Arthur Mensch, Grant M. Rotskoff, Joan Bruna
2020	J	`jnl`	Average-case Acceleration for Bilinear Games and Normal Matrices. CoRR Carles Domingo-Enrich, Fabian Pedregosa, Damien Scieur
2020	A*	`conf`	Extra-gradient with player sampling for faster convergence in n-player games. ICML Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
2019	J	`jnl`	Extra-gradient with player sampling for provable fast convergence in n-player games. CoRR Samy Jelassi, Carles Domingo-Enrich, Damien Scieur, Arthur Mensch, Joan Bruna
2018	J	`jnl`	Outsourcing scalar products and matrix products on privacy-protected unencrypted data stored in untrusted clouds. Inf. Sci. Josep Domingo-Ferrer, Sara Ricci, Carles Domingo-Enrich