Domingo-Enrich, Carles

1. Multisample Flow Matching: Straightening Flows with Minibatch Couplings
   2023/04/28 by Aram-Alexandre Pooladian, Heli Ben-Hamu, Pooladian, Aram-Alexandre +9 · 1 voice · 39 citations
   #cs.LG
2. 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
3. Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
   2025/04/16 by Aaron M. Havens, Aaron Havens, Benjamin Kurt Miller +26 · 2 voices · 27 citations
   Materials Science · Computer Science · #Machine Learning in Materials Science #Advanced Graph Neural Networks #Gaussian Processes and Bayesian Inference
4. 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
5. Compress Then Test: Powerful Kernel Testing in Near-linear Time
   2023/01/14 by Domingo-Enrich, Carles, Dwivedi, Raaz, Mackey, Lester · 4 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Statistics Theory (math.ST)
6. 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
7. 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
8. An Explicit Expansion of the Kullback-Leibler Divergence along its Fisher-Rao Gradient Flow
   2023/02/23 by Domingo-Enrich, Carles, Pooladian, Aram-Alexandre · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC)
9. 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
10. 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
11. Conditioning Diffusions Using Malliavin Calculus
    2025/04/04 by Jakiw Pidstrigach, Pidstrigach, Jakiw, Elizabeth Baker +7 · 1 voice · 4 citations
    #stat.ML #cs.LG #math.PR
12. On Energy-Based Models with Overparametrized Shallow Neural Networks
    2021/04/15 by Carles Domingo-Enrich, Domingo-Enrich, Carles, Alberto Bietti +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
13. A Taxonomy of Loss Functions for Stochastic Optimal Control
    2024/10/01 by Domingo-Enrich, Carles · 4 citations
    #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
14. Trust Region Constrained Measure Transport in Path Space for Stochastic Optimal Control and Inference
    2025/08/17 by Denis Blessing, Blessing, Denis, Julius Berner +11 · 8 citations
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Stochastic Gradient Optimization Techniques
15. Neural Optimal Transport with Lagrangian Costs
    2024/06/01 by Pooladian, Aram-Alexandre, Domingo-Enrich, Carles, Chen, Ricky T. Q. +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
16. Cheap Permutation Testing
    2025/02/11 by Carles Domingo-Enrich, Raaz Dwivedi, Domingo-Enrich, Carles +3 · 1 voice · 1 citation
    Computer Science · #Software Testing and Debugging Techniques