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ORCIDPetr Mokrov
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2020 – today
- 2025
[j1]Milena Gazdieva
, Petr Mokrov, Litu Rout, Alexander Korotin, Andrey Kravchenko, Alexander Filippov, Evgeny Burnaev:
An Optimal Transport Perspective on Unpaired Image Super-Resolution. J. Optim. Theory Appl. 207(2): 40 (2025)- [c8]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. ICLR 2025 - [i8]Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin:
A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers. CoRR abs/2502.01310 (2025) - [i7]Mikhail Persiianov, Jiawei Chen, Petr Mokrov, Alexander Tyurin, Evgeny Burnaev, Alexander Korotin:
Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme. CoRR abs/2506.01502 (2025) - 2024
- [c7]Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev:
Neural Optimal Transport with General Cost Functionals. ICLR 2024 - [c6]Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev:
Energy-guided Entropic Neural Optimal Transport. ICLR 2024 - [c5]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Estimating Barycenters of Distributions with Neural Optimal Transport. ICML 2024 - [c4]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Aleksandr Korotin:
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. NeurIPS 2024 - [c3]Nikita Kornilov, Petr Mokrov, Alexander V. Gasnikov, Alexander Korotin:
Optimal Flow Matching: Learning Straight Trajectories in Just One Step. NeurIPS 2024 - [i6]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Estimating Barycenters of Distributions with Neural Optimal Transport. CoRR abs/2402.03828 (2024) - [i5]Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin:
Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport. CoRR abs/2410.03974 (2024) - 2023
- [c2]Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin:
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. NeurIPS 2023 - [i4]Petr Mokrov, Alexander Korotin, Evgeny Burnaev:
Energy-guided Entropic Neural Optimal Transport. CoRR abs/2304.06094 (2023) - [i3]Nikita Gushchin, Alexander Kolesov, Petr Mokrov, Polina Karpikova, Andrei Spiridonov, Evgeny Burnaev, Alexander Korotin:
Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark. CoRR abs/2306.10161 (2023) - [i2]Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin:
Energy-Guided Continuous Entropic Barycenter Estimation for General Costs. CoRR abs/2310.01105 (2023) - 2021
- [c1]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. NeurIPS 2021: 15243-15256 - [i1]Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin Solomon, Evgeny Burnaev:
Large-Scale Wasserstein Gradient Flows. CoRR abs/2106.00736 (2021)
Coauthor Index
aka: Aleksandr Korotin
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