Alexander Korotin
27 papers · 2021–2025 · 3 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 ↓+9 more ↓ Show less ↑
🗺️ Taxonomy Completionist (32) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🔬 Deep Specialist (14)
🤝
Dynamic Duo
(23)
👑
Triple Crown
🏆
Keyword Champion
(3)
⚡
Prolific Year · Prolific
📈
Trend Setter
❓
The Questioner
(2)
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(108)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(25)
Deep Learning
(22)
Models
(19)
Optimization & Theory · Machine Learning
(18)
Mathematics & Optimization
(12)
Optimization
(12)
Core Methods
(8)
Application Areas
(6)
Architectures
(4)
Artificial Intelligence
(3)
Computer Vision
(3)
Optimization & Theory · Deep Learning
(3)
Bayesian & Probabilistic
(2)
Generation
(2)
Learning Types
(2)
Keywords
optimal transport
(18)
generative model
(6)
neural network
(6)
schrödinger bridge
(5)
probability distribution
(3)
image translation
(3)
entropic optimal transport
(3)
wasserstein barycenter
(3)
wasserstein distance
(3)
input convex neural network
(3)
diffusion model
(3)
probabilistic modeling
(2)
schrodinger bridge
(2)
image generation
(2)
transport map
(2)
transport plan
(2)
domain translation
(2)
min-max optimization
(2)
unbalanced optimal transport
(2)
energy-based model
(2)
Papers
Categorical Schrödinger Bridge Matching
ICML 2025
Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
ICML 2025
Inverse Bridge Matching Distillation
ICML 2025
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
ICLR 2025
Adversarial Schrödinger Bridge Matching
NeurIPS 2024
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
Light and Optimal Schrödinger Bridge Matching
ICML 2024
Light Schrödinger Bridge
ICLR 2024
Light Unbalanced Optimal Transport
NeurIPS 2024
Neural Optimal Transport with General Cost Functionals
ICLR 2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step
NeurIPS 2024
Rethinking Optimal Transport in Offline Reinforcement Learning
NeurIPS 2024
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
NeurIPS 2023
Entropic Neural Optimal Transport via Diffusion Processes
NeurIPS 2023
Extremal Domain Translation with Neural Optimal Transport
NeurIPS 2023
Kernel Neural Optimal Transport
ICLR 2023
Neural Optimal Transport
ICLR 2023
Generative Modeling with Optimal Transport Maps
ICLR 2022
Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
NeurIPS 2022
Wasserstein Iterative Networks for Barycenter Estimation
NeurIPS 2022
Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
ICLR 2021
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
NeurIPS 2021
Large-Scale Wasserstein Gradient Flows
NeurIPS 2021
Manifold Topology Divergence: a Framework for Comparing Data Manifolds.
NeurIPS 2021
Wasserstein-2 Generative Networks
ICLR 2021