Petr Mokrov

According to our database, Petr Mokrov authored at least 7 papers between 2021 and 2024.

Collaborative distances:

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

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