Korotin, Alexander

28 publications

ICML 2025 Categorical Schrödinger Bridge Matching Grigoriy Ksenofontov, Alexander Korotin
ICML 2025 Field Matching: An Electrostatic Paradigm to Generate and Transfer Data Alexander Kolesov, S. I. Manukhov, Vladimir Vladimirovich Palyulin, Alexander Korotin
ICML 2025 Inverse Bridge Matching Distillation Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin
ICLR 2025 Robust Barycenter Estimation Using Semi-Unbalanced Neural Optimal Transport Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin
NeurIPS 2024 Adversarial Schrödinger Bridge Matching Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
NeurIPS 2024 Energy-Guided Continuous Entropic Barycenter Estimation for General Costs Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin
ICLR 2024 Energy-Guided Entropic Neural Optimal Transport Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev
ICML 2024 Estimating Barycenters of Distributions with Neural Optimal Transport Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin
ICLR 2024 Light Schrödinger Bridge Alexander Korotin, Nikita Gushchin, Evgeny Burnaev
NeurIPS 2024 Light Unbalanced Optimal Transport Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin
ICML 2024 Light and Optimal Schrödinger Bridge Matching Nikita Gushchin, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin
ICLR 2024 Neural Optimal Transport with General Cost Functionals Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev
NeurIPS 2024 Optimal Flow Matching: Learning Straight Trajectories in Just One Step Nikita Kornilov, Petr Mokrov, Alexander Gasnikov, Alexander Korotin
NeurIPS 2024 Rethinking Optimal Transport in Offline Reinforcement Learning Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev
CoLLAs 2023 A Minimalist Approach for Domain Adaptation with Optimal Transport Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov
NeurIPS 2023 Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin
NeurIPS 2023 Entropic Neural Optimal Transport via Diffusion Processes Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P Vetrov, Evgeny Burnaev
NeurIPS 2023 Extremal Domain Translation with Neural Optimal Transport Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
ICLR 2023 Kernel Neural Optimal Transport Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
ICLR 2023 Neural Optimal Transport Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
ICLR 2022 Generative Modeling with Optimal Transport Maps Litu Rout, Alexander Korotin, Evgeny Burnaev
NeurIPS 2022 Kantorovich Strikes Back! Wasserstein GANs Are Not Optimal Transport? Alexander Korotin, Alexander Kolesov, Evgeny Burnaev
NeurIPS 2022 Wasserstein Iterative Networks for Barycenter Estimation Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev
ICLR 2021 Continuous Wasserstein-2 Barycenter Estimation Without Minimax Optimization Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev
NeurIPS 2021 Do Neural Optimal Transport Solvers Work? a Continuous Wasserstein-2 Benchmark Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Alexander Filippov, Evgeny Burnaev
NeurIPS 2021 Large-Scale Wasserstein Gradient Flows Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M Solomon, Evgeny Burnaev
NeurIPS 2021 Manifold Topology Divergence: A Framework for Comparing Data Manifolds. Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev
ICLR 2021 Wasserstein-2 Generative Networks Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev