Petr Mokrov

According to our database, Petr Mokrov authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

An Optimal Transport Perspective on Unpaired Image Super-Resolution.

Milena Gazdieva, Petr Mokrov, Litu Rout, Alexander Korotin, Andrey Kravchenko, Alexander Filippov, Evgeny Burnaev

J. Optim. Theory Appl., November, 2025

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme.

Mikhail Persiianov, Jiawei Chen, Petr Mokrov, Alexander Tyurin, Evgeny Burnaev, Alexander Korotin

CoRR, June, 2025

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers.

Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin

CoRR, February, 2025

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport.

Milena Gazdieva, Jaemoo Choi, Alexander Kolesov, Jaewoong Choi, Petr Mokrov, Alexander Korotin

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Optimal Flow Matching: Learning Straight Trajectories in Just One Step.

Nikita Kornilov, Petr Mokrov, Alexander V. Gasnikov, Alexander Korotin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs.

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Anastasis Kratsios, Evgeny Burnaev, Aleksandr Korotin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Estimating Barycenters of Distributions with Neural Optimal Transport.

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Energy-guided Entropic Neural Optimal Transport.

Petr Mokrov, Alexander Korotin, Alexander Kolesov, Nikita Gushchin, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Neural Optimal Transport with General Cost Functionals.

Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Petr Mokrov, Evgeny Burnaev

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs.

Alexander Kolesov, Petr Mokrov, Igor Udovichenko, Milena Gazdieva, Gudmund Pammer, Evgeny Burnaev, Alexander Korotin

CoRR, 2023

Energy-guided Entropic Neural Optimal Transport.

Petr Mokrov, Alexander Korotin, Evgeny Burnaev

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2021

Large-Scale Wasserstein Gradient Flows.

Petr Mokrov, Alexander Korotin, Lingxiao Li, Aude Genevay, Justin M. Solomon, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021