Alexander Korotin
27 papers · 2021–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (10) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌈 Renaissance Researcher (6)
🌈
Renaissance Researcher
(6)
🗺️
Taxonomy Completionist
(28)
🏆
Keyword Champion
(3)
👑
Triple Crown
🤝
Dynamic Duo
(23)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(65)
💎
Century Club
(27)
🔥
Unstoppable
(5)
❓
The Questioner
(2)
Conferences
NIPS (13)
ICLR (9)
ICML (5)
Top co-authors
Keywords
optimal transport
(10)
entropic optimal transport
(3)
generative model
(3)
generative adversarial network
(2)
input-convex neural network
(2)
wasserstein distance
(2)
diffusion model
(2)
schrödinger bridge
(2)
schrodinger bridge
(2)
neural network
(2)
domain translation
(2)
continuous optimization
(1)
convex optimization
(1)
diffusion process
(1)
topological data analysis
(1)
flow matching
(1)
probabilistic modeling
(1)
stochastic gradient descent
(1)
image translation
(1)
entropic regularization
(1)
Papers
Categorical Schrödinger Bridge Matching
ICML 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
ICLR 2025
Inverse Bridge Matching Distillation
ICML 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
ICML 2025
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
NIPS 2024
Estimating Barycenters of Distributions with Neural Optimal Transport
ICML 2024
Adversarial Schrödinger Bridge Matching
NIPS 2024
Light Unbalanced Optimal Transport
NIPS 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
NIPS 2024
Light and Optimal Schrödinger Bridge Matching
ICML 2024
Rethinking Optimal Transport in Offline Reinforcement Learning
NIPS 2024
Neural Optimal Transport with General Cost Functionals
ICLR 2024
Energy-guided Entropic Neural Optimal Transport
ICLR 2024
Light Schrödinger Bridge
ICLR 2024
Extremal Domain Translation with Neural Optimal Transport
NIPS 2023
Entropic Neural Optimal Transport via Diffusion Processes
NIPS 2023
Kernel Neural Optimal Transport
ICLR 2023
Neural Optimal Transport
ICLR 2023
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
NIPS 2023
Wasserstein Iterative Networks for Barycenter Estimation
NIPS 2022
Generative Modeling with Optimal Transport Maps
ICLR 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
NIPS 2022
Wasserstein-2 Generative Networks
ICLR 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
NIPS 2021
Large-Scale Wasserstein Gradient Flows
NIPS 2021
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
NIPS 2021
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
ICLR 2021