Petr Mokrov
8 papers · 2021–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(14)
👑
Triple Crown
⚡
Prolific Year · Productive
Venues
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(8)
Deep Learning
(7)
Models
(5)
Mathematics & Optimization
(4)
Optimization
(4)
Architectures
(3)
Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Core Methods
(1)
Learning Types
(1)
Mathematics
(1)
Keywords
optimal transport
(5)
probability distribution
(2)
generative model
(2)
neural network
(2)
energy-based model
(2)
image translation
(1)
flow matching
(1)
probability density
(1)
robust estimation
(1)
diffusion model
(1)
entropy regularization
(1)
neural solver
(1)
schrödinger bridge
(1)
fokker-planck equation
(1)
error bound
(1)
min-max optimization
(1)
entropic optimal transport
(1)
unbalanced optimal transport
(1)
wasserstein barycenter
(1)
transport map
(1)
Papers
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
ICLR 2025
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
NeurIPS 2024
Energy-guided Entropic Neural Optimal Transport
ICLR 2024
Estimating Barycenters of Distributions with Neural Optimal Transport
ICML 2024
Neural Optimal Transport with General Cost Functionals
ICLR 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
NeurIPS 2024
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
NeurIPS 2023
Large-Scale Wasserstein Gradient Flows
NeurIPS 2021