Carles Domingo-Enrich
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (12) π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Academic Marathon
(5)
π
Cross-Pollinator
(13)
π
Renaissance Researcher
(5)
π
Century Club
(14)
π₯
Unstoppable
(6)
Conferences
ICML (5)
ICLR (4)
NIPS (2)
AISTATS (1)
COLT (1)
UAI (1)
Top co-authors
Keywords
nash equilibrium
(2)
feature learning
(1)
game theory
(1)
flow matching
(1)
markov chain monte carlo
(1)
maximum likelihood
(1)
variance reduction
(1)
sample compression
(1)
stochastic process
(1)
maximum mean discrepancy
(1)
mirror descent
(1)
stochastic optimal control
(1)
two-sample testing
(1)
generative model
(1)
vector field
(1)
zero-sum game
(1)
energy-based model
(1)
shallow neural network
(1)
cross-entropy loss
(1)
relu network
(1)
Papers
Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control
ICLR 2025
Conditioning Diffusions Using Malliavin Calculus
ICML 2025
Neural Optimal Transport with Lagrangian Costs
UAI 2024
Stochastic Optimal Control Matching
NIPS 2024
Multisample Flow Matching: Straightening Flows with Minibatch Couplings
ICML 2023
Learning with Stochastic Orders
ICLR 2023
Compress Then Test: Powerful Kernel Testing in Near-linear Time
AISTATS 2023
Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators
COLT 2022
Tighter Sparse Approximation Bounds for ReLU Neural Networks
ICLR 2022
On Energy-Based Models with Overparametrized Shallow Neural Networks
ICML 2021
Average-case Acceleration for Bilinear Games and Normal Matrices
ICLR 2021
Extra-gradient with player sampling for faster convergence in n-player games
ICML 2020
A mean-field analysis of two-player zero-sum games
NIPS 2020