Carles Domingo-Enrich
14 papers · 2020–2025 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (22)
π
Trend Setter
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(76)
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory Β· Machine Learning
(12)
Deep Learning
(9)
Models
(7)
Mathematics & Optimization
(3)
Optimization
(3)
Optimization & Theory Β· Deep Learning
(3)
Artificial Intelligence
(2)
Core AI
(2)
Learning Types
(2)
Computer Vision
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Generation
(1)
Keywords
flow matching
(2)
probability measure
(2)
nash equilibrium
(2)
generative modeling
(2)
optimal transport
(2)
stochastic optimal control
(2)
generative model
(2)
neural network optimization
(1)
fourier transform
(1)
game theory
(1)
distribution learning
(1)
variance reduction
(1)
sample compression
(1)
stochastic process
(1)
sparse approximation
(1)
mirror descent
(1)
maximum likelihood
(1)
gradient updates
(1)
maximum mean discrepancy
(1)
markov chain monte carlo
(1)
Papers
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
ICLR 2025
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
Conditioning Diffusions Using Malliavin Calculus
ICML 2025
Neural Optimal Transport with Lagrangian Costs
UAI 2024
Stochastic Optimal Control Matching
NeurIPS 2024
Compress Then Test: Powerful Kernel Testing in Near-linear Time
AISTATS 2023
Learning with Stochastic Orders
ICLR 2023
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
ICML 2023
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators
COLT 2022
Tighter Sparse Approximation Bounds for ReLU Neural Networks
ICLR 2022
Average-case Acceleration for Bilinear Games and Normal Matrices
ICLR 2021
On Energy-Based Models with Overparametrized Shallow Neural Networks
ICML 2021
A mean-field analysis of two-player zero-sum games
NeurIPS 2020
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020