Alexander Korotin

According to our database, Alexander Korotin authored at least 49 papers between 2016 and 2024.

Collaborative distances:

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

2024

Rethinking Optimal Transport in Offline Reinforcement Learning.

Arip Asadulaev, Rostislav Korst, Alexander Korotin, Vage Egiazarian, Andrey Filchenkov, Evgeny Burnaev

CoRR, 2024

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport.

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

CoRR, 2024

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization.

Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin

CoRR, 2024

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting.

Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Evgeny Burnaev, Alexander Korotin

CoRR, 2024

Adversarial Schrödinger Bridge Matching.

Nikita Gushchin, Daniil Selikhanovych, Sergei Kholkin, Evgeny Burnaev, Alexander Korotin

CoRR, 2024

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

Nikita Kornilov, Alexander V. Gasnikov, Alexander Korotin

CoRR, 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

Light and Optimal Schrödinger Bridge Matching.

Nikita Gushchin, Sergei Kholkin, 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

Light Schrödinger Bridge.

Alexander Korotin, 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

Partial Neural Optimal Transport.

Milena Gazdieva, Alexander Korotin, Evgeny Burnaev

CoRR, 2023

Neural Gromov-Wasserstein Optimal Transport.

Maksim Nekrashevich, 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

Entropic Neural Optimal Transport via Diffusion Processes.

Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry P. Vetrov, Evgeny Burnaev

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

Extremal Domain Translation with Neural Optimal Transport.

Milena Gazdieva, Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

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

Kernel Neural Optimal Transport.

Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Optimal Transport.

Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Minimalist Approach for Domain Adaptation with Optimal Transport.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Vladislava Kontsevaya, Andrey Filchenkov

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study.

Simon Abramov, Alexander Korotin, Andrey Somov, Evgeny Burnaev, Anton Stepanov, Dmitry Nikolaev, Maria A. Titova

IEEE J. Biomed. Health Informatics, 2022

Connecting adversarial attacks and optimal transport for domain adaptation.

Arip Asadulaev, Vitaly Shutov, Alexander Korotin, Alexander Panfilov, Andrey Filchenkov

CoRR, 2022

Neural Optimal Transport with General Cost Functionals.

Arip Asadulaev, Alexander Korotin, Vage Egiazarian, Evgeny Burnaev

CoRR, 2022

Unpaired Image Super-Resolution with Optimal Transport Maps.

Milena Gazdieva, Litu Rout, Alexander Korotin, Alexander Filippov, Evgeny Burnaev

CoRR, 2022

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?

Alexander Korotin, Alexander Kolesov, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Wasserstein Iterative Networks for Barycenter Estimation.

Alexander Korotin, Vage Egiazarian, Lingxiao Li, Evgeny Burnaev

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generative Modeling with Optimal Transport Maps.

Litu Rout, Alexander Korotin, Evgeny Burnaev

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Mixability of integral losses: A key to efficient online aggregation of functional and probabilistic forecasts.

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

Pattern Recognit., 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

Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark.

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

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

Manifold Topology Divergence: a Framework for Comparing Data Manifolds.

Serguei Barannikov, Ilya Trofimov, Grigorii Sotnikov, Ekaterina Trimbach, Alexander Korotin, Alexander Filippov, Evgeny Burnaev

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

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization.

Alexander Korotin, Lingxiao Li, Justin Solomon, Evgeny Burnaev

Proceedings of the 9th International Conference on Learning Representations, 2021

Wasserstein-2 Generative Networks.

Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Alexander Safin, Evgeny Burnaev

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Adaptive hedging under delayed feedback.

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

Neurocomputing, 2020

Topological obstructions in neural networks learning.

Serguei Barannikov, Grigorii Sotnikov, Ilya Trofimov, Alexander Korotin, Evgeny Burnaev

CoRR, 2020

Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament.

Alexander Korotin, Anton Stepanov, Andrey Lange, Dmitry Nikolaev, Simon Abramov, Nikita Klyuchnikov, Evgeny Burnaev, Andrey Somov

Proceedings of the Science and Technologies for Smart Cities, 2020

Mixing past predictions.

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019

Esports Athletes and Players: A Comparative Study.

Nikita Khromov, Alexander Korotin, Andrey Lange, Anton Stepanov, Evgeny Burnaev, Andrey Somov

IEEE Pervasive Comput., 2019

Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts.

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

CoRR, 2019

Barcodes as summary of objective function's topology.

Serguei Barannikov, Alexander Korotin, Dmitry Oganesyan, Daniil Emtsev, Evgeny Burnaev

CoRR, 2019

Wasserstein-2 Generative Networks.

Alexander Korotin, Vage Egiazarian, Arip Asadulaev, Evgeny Burnaev

CoRR, 2019

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis.

Alexander Korotin, Nikita Khromov, Anton Stepanov, Andrey Lange, Evgeny Burnaev, Andrey Somov

Proceedings of the 2019 IEEE SmartWorld, 2019

Visual Fixations Duration as an Indicator of Skill Level in eSports.

Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov

Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Sensors and Game Synchronization for Data Analysis in eSports.

Anton Stepanov, Andrey Lange, Nikita Khromov, Alexander Korotin, Evgeny Burnaev, Andrey Somov

Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018

Meta-learning for resampling recommendation systems.

Dmitry Smolyakov, Alexander Korotin, Pavel Erofeev, Artem Papanov, Evgeny Burnaev

Proceedings of the Eleventh International Conference on Machine Vision, 2018

Aggregating strategies for long-term forecasting.

Alexander Korotin, Vladimir V'yugin, Evgeny Burnaev

Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017

Long-Term Sequential Prediction Using Expert Advice.

Eugeny Burnaev, Alexander Korotin, Vladimir V'yugin

CoRR, 2017

2016

The Design of Integrity Monitoring and Reliability Verification System for Critical Information, Transmitted in Automatic Train Signaling System, Based on DMR-RUS Radio Channel.

Valery Konyavskiy, Anna Epishkina, Alexander Korotin

Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016