Carles Domingo-Enrich
- Multisample Flow Matching: Straightening Flows with Minibatch Couplings
2023/04/28 by Aram-Alexandre Pooladian, Pooladian, Aram-Alexandre, Heli Ben-Hamu +9 · 1 voice · 39 citations
#cs.LG
- Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
2024/09/13 by Carles Domingo-Enrich, Michal Drozdzal, Domingo-Enrich, Carles +5 · 50 citations
Mathematics · Economics, Econometrics and Finance · #Markov Chains and Monte Carlo Methods #Stochastic processes and financial applications
- Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
2025/04/16 by Aaron M. Havens, Aaron Havens, Havens, Aaron +26 · 2 voices · 27 citations
Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Gaussian Processes and Bayesian Inference
- Stochastic Optimal Control Matching
2023/12/04 by Carles Domingo-Enrich, Domingo-Enrich, Carles, Jiequn Han +7 · 10 citations
Computer Science · Mathematics · Physics and Astronomy · #Stochastic Gradient Optimization Techniques #Markov Chains and Monte Carlo Methods #Model Reduction and Neural Networks
- Length Generalization in Arithmetic Transformers
2023/06/27 by Samy Jelassi, Stéphane d’Ascoli, Jelassi, Samy +9 · 4 citations
Computer Science · Physics and Astronomy · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications
- Auditing Differential Privacy in High Dimensions with the Kernel Quantum Rényi Divergence
2022/05/27 by Carles Domingo-Enrich, Youssef Mroueh, Domingo-Enrich, Carles +1 · 2 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Any-Order Flexible Length Masked Diffusion
2025/08/31 by J.M. Kim, Lee Cheuk-Kit, Kim, Jaeyeon +13 · 12 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning in Healthcare
- Average-case Acceleration for Bilinear Games and Normal Matrices
2020/10/05 by Carles Domingo-Enrich, Domingo-Enrich, Carles, Fabián Pedregosa +3 · 1 citation
Computer Science · Decision Sciences · Mathematics · #Advanced Bandit Algorithms Research #Computer Science and Game Theory (cs.GT) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Conditioning Diffusions Using Malliavin Calculus
2025/04/04 by Jakiw Pidstrigach, Elizabeth Baker, Pidstrigach, Jakiw +7 · 1 voice · 4 citations
#stat.ML #cs.LG #math.PR
- On Energy-Based Models with Overparametrized Shallow Neural Networks
2021/04/15 by Carles Domingo-Enrich, Alberto Bietti, Domingo-Enrich, Carles +5 · 1 citation
Physics and Astronomy · Computer Science · Materials Science · #Model Reduction and Neural Networks #Generative Adversarial Networks and Image Synthesis #Machine Learning in Materials Science
- Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
2025/08/17 by Denis Blessing, Julius Berner, Blessing, Denis +11 · 8 citations
Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
- Cheap Permutation Testing
2025/02/11 by Carles Domingo-Enrich, Domingo-Enrich, Carles, Raaz Dwivedi +3 · 1 voice · 1 citation
Computer Science · #Software Testing and Debugging Techniques
- ATLAS: A Foundation Neural Sampler for Amorphous Materials
2026/07/21 by Mouyang Cheng, Denis Blessing, Botao Yu +4
#cond-mat.mtrl-sci #cs.LG #physics.comp-ph