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 (BICA, 2016)

Long-Term Sequential Prediction Using Expert Advice. - Eugeny Burnaev; Alexander Korotin; Vladimir V'yugin (CoRR, 2017)

Aggregating strategies for long-term forecasting. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (COPA, 2018)

Meta-learning for resampling recommendation systems. - Dmitry Smolyakov; Alexander Korotin; Pavel Erofeev; Artem Papanov; Evgeny Burnaev (ICMV, 2018)

Sensors and Game Synchronization for Data Analysis in eSports. - Anton Stepanov; Andrey Lange; Nikita Khromov; Alexander Korotin; Evgeny Burnaev; Andrey Somov (INDIN, 2019)

Visual Fixations Duration as an Indicator of Skill Level in eSports. - Boris B. Velichkovsky; Nikita Khromov; Alexander Korotin; Evgeny Burnaev; Andrey Somov (INTERACT (1), 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 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2019)

Wasserstein-2 Generative Networks. - Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Evgeny Burnaev (CoRR, 2019)

Barcodes as summary of objective function's topology. - Serguei Barannikov; Alexander Korotin; Dmitry Oganesyan; Daniil Emtsev; Evgeny Burnaev (CoRR, 2019)

Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (CoRR, 2019)

Esports Athletes and Players: A Comparative Study. - Nikita Khromov; Alexander Korotin; Andrey Lange; Anton Stepanov; Evgeny Burnaev; Andrey Somov (IEEE Pervasive Comput., 2019)

Mixing past predictions. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (COPA, 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 004; Simon Abramov; Nikita Klyuchnikov; Evgeny Burnaev; Andrey Somov (SmartCity360°, 2020)

Topological obstructions in neural networks learning. - Serguei Barannikov; Grigorii Sotnikov; Ilya Trofimov; Alexander Korotin; Evgeny Burnaev (CoRR, 2020)

Adaptive hedging under delayed feedback. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (Neurocomputing, 2020)

Wasserstein-2 Generative Networks. - Alexander Korotin; Vage Egiazarian; Arip Asadulaev; Alexander Safin; Evgeny Burnaev (ICLR, 2021)

Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization. - Alexander Korotin; Lingxiao Li; Justin Solomon 001; Evgeny Burnaev (ICLR, 2021)

Manifold Topology Divergence: a Framework for Comparing Data Manifolds. - Serguei Barannikov; Ilya Trofimov; Grigorii Sotnikov; Ekaterina Trimbach; Alexander Korotin; Alexander Filippov; 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)

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)

Generative Modeling with Optimal Transport Maps. - Litu Rout; Alexander Korotin; Evgeny Burnaev (ICLR, 2022)

Wasserstein Iterative Networks for Barycenter Estimation. - Alexander Korotin; Vage Egiazarian; Lingxiao Li; Evgeny Burnaev (NeurIPS, 2022)

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport? - Alexander Korotin; Alexander Kolesov; Evgeny Burnaev (NeurIPS, 2022)

Unpaired Image Super-Resolution with Optimal Transport Maps. - Milena Gazdieva; Litu Rout; Alexander Korotin; Alexander Filippov; Evgeny Burnaev (CoRR, 2022)

Neural Optimal Transport with General Cost Functionals. - Arip Asadulaev; Alexander Korotin; Vage Egiazarian; Evgeny Burnaev (CoRR, 2022)

Connecting adversarial attacks and optimal transport for domain adaptation. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Andrey Filchenkov (CoRR, 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 004; Maria A. Titova (IEEE J. Biomed. Health Informatics, 2022)

A Minimalist Approach for Domain Adaptation with Optimal Transport. - Arip Asadulaev; Vitaly Shutov; Alexander Korotin; Alexander Panfilov; Vladislava Kontsevaya; Andrey Filchenkov (CoLLAs, 2023)

Neural Optimal Transport. - Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev (ICLR, 2023)

Kernel Neural Optimal Transport. - Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev (ICLR, 2023)

Extremal Domain Translation with Neural Optimal Transport. - Milena Gazdieva; Alexander Korotin; Daniil Selikhanovych; Evgeny Burnaev (NeurIPS, 2023)

Entropic Neural Optimal Transport via Diffusion Processes. - Nikita Gushchin; Alexander Kolesov; Alexander Korotin; Dmitry P. Vetrov; Evgeny Burnaev (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)

Neural Gromov-Wasserstein Optimal Transport. - Maksim Nekrashevich; Alexander Korotin; Evgeny Burnaev (CoRR, 2023)

Partial Neural Optimal Transport. - Milena Gazdieva; Alexander Korotin; Evgeny Burnaev (CoRR, 2023)

Energy-guided Entropic Neural Optimal Transport. - Petr Mokrov; Alexander Korotin; Evgeny Burnaev (CoRR, 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)

Neural Optimal Transport with General Cost Functionals. - Arip Asadulaev; Alexander Korotin; Vage Egiazarian; Petr Mokrov; Evgeny Burnaev (ICLR, 2024)

Light Schrödinger Bridge. - Alexander Korotin; Nikita Gushchin; Evgeny Burnaev (ICLR, 2024)

Energy-guided Entropic Neural Optimal Transport. - Petr Mokrov; Alexander Korotin; Alexander Kolesov; Nikita Gushchin; Evgeny Burnaev (ICLR, 2024)

Light and Optimal Schrödinger Bridge Matching. - Nikita Gushchin; Sergei Kholkin; Evgeny Burnaev; Alexander Korotin (ICML, 2024)

Estimating Barycenters of Distributions with Neural Optimal Transport. - Alexander Kolesov; Petr Mokrov; Igor Udovichenko; Milena Gazdieva; Gudmund Pammer; Evgeny Burnaev; Alexander Korotin (ICML, 2024)

Rethinking Optimal Transport in Offline Reinforcement Learning. - Arip Asadulaev; Rostislav Korst; Aleksandr Korotin; Vage Egiazarian; Andrey Filchenkov; Evgeny Burnaev (NeurIPS, 2024)

Light Unbalanced Optimal Transport. - Milena Gazdieva; Arip Asadulaev; Evgeny Burnaev; Aleksandr 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; Aleksandr Korotin (NeurIPS, 2024)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step. - Nikita Kornilov; Petr Mokrov; Alexander V. Gasnikov; Alexander Korotin (NeurIPS, 2024)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step. - Nikita Kornilov; Alexander V. Gasnikov; Alexander Korotin (CoRR, 2024)

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting. - Sergei Kholkin; Grigoriy Ksenofontov; David Li 004; Nikita Kornilov; Nikita Gushchin; Evgeny Burnaev; 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)

Optimal Transport Maps are Good Voice Converters. - Arip Asadulaev; Rostislav Korst; Vitalii Shutov; Alexander Korotin; Yaroslav Grebnyak; Vahe Egiazarian; 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 (ICLR, 2025)

Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss. - Alexander Korotin; Vladimir V'yugin; Evgeny Burnaev (CoRR, 2025)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers. - Roman Tarasov; Petr Mokrov; Milena Gazdieva; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

Inverse Bridge Matching Distillation. - Nikita Gushchin; David Li 004; Daniil Selikhanovych; Evgeny Burnaev; Dmitry Baranchuk; Alexander Korotin (CoRR, 2025)

InfoBridge: Mutual Information estimation via Bridge Matching. - Sergei Kholkin; Ivan Butakov; Evgeny Burnaev; Nikita Gushchin; Alexander Korotin (CoRR, 2025)

Categorical Schrödinger Bridge Matching. - Grigoriy Ksenofontov; Alexander Korotin (CoRR, 2025)

Field Matching: an Electrostatic Paradigm to Generate and Transfer Data. - Alexander Kolesov; Manukhov Stepan; Vladimir V. Palyulin; Alexander Korotin (CoRR, 2025)

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation. - Daniil Selikhanovych; David Li 004; Aleksei Leonov; Nikita Gushchin; Sergei Kushneriuk; Alexander Filippov; Evgeny Burnaev; Iaroslav Koshelev; Alexander Korotin (CoRR, 2025)

Risk-Averse Reinforcement Learning with Itakura-Saito Loss. - Igor Udovichenko; Olivier Croissant; Anita Toleutaeva; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme. - Mikhail Persiianov; Jiawei Chen; Petr Mokrov; Alexander Tyurin; Evgeny Burnaev; Alexander Korotin (CoRR, 2025)

Interaction Field Matching: Overcoming Limitations of Electrostatic Models. - Manukhov Stepan; Alexander Kolesov; Vladimir V. Palyulin; Alexander Korotin (CoRR, 2025)

Exponential convergence rate for Iterative Markovian Fitting. - Kirill Sokolov; Alexander Korotin (CoRR, 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., 2025)