Alexander Korotin

Orcid: 0000-0003-4286-925X

According to our database1, Alexander Korotin authored at least 42 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimal Flow Matching: Learning Straight Trajectories in Just One Step.
CoRR, 2024

Estimating Barycenters of Distributions with Neural Optimal Transport.
CoRR, 2024

Light and Optimal Schrödinger Bridge Matching.
CoRR, 2024

2023
Light Schrödinger Bridge.
CoRR, 2023

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs.
CoRR, 2023

Energy-guided Entropic Neural Optimal Transport.
CoRR, 2023

Partial Neural Optimal Transport.
CoRR, 2023

Neural Gromov-Wasserstein Optimal Transport.
CoRR, 2023

Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark.
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.
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Kernel Neural Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Neural Optimal Transport.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Minimalist Approach for Domain Adaptation with Optimal Transport.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Analysis of Video Game Players' Emotions and Team Performance: An Esports Tournament Case Study.
IEEE J. Biomed. Health Informatics, 2022

Connecting adversarial attacks and optimal transport for domain adaptation.
CoRR, 2022

Neural Optimal Transport with General Cost Functionals.
CoRR, 2022

Unpaired Image Super-Resolution with Optimal Transport Maps.
CoRR, 2022

Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
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.
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.
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.
Pattern Recognit., 2021

Large-Scale Wasserstein Gradient Flows.
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.
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.
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.
Proceedings of the 9th International Conference on Learning Representations, 2021

Wasserstein-2 Generative Networks.
Proceedings of the 9th International Conference on Learning Representations, 2021

2020
Adaptive hedging under delayed feedback.
Neurocomputing, 2020

Topological obstructions in neural networks learning.
CoRR, 2020

Assessment of Video Games Players and Teams Behaviour via Sensing and Heterogeneous Data Analysis: Deployment at an eSports Tournament.
Proceedings of the Science and Technologies for Smart Cities, 2020

Mixing past predictions.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019
Esports Athletes and Players: A Comparative Study.
IEEE Pervasive Comput., 2019

Integral Mixabilty: a Tool for Efficient Online Aggregation of Functional and Probabilistic Forecasts.
CoRR, 2019

Barcodes as summary of objective function's topology.
CoRR, 2019

Wasserstein-2 Generative Networks.
CoRR, 2019

Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis.
Proceedings of the 2019 IEEE SmartWorld, 2019

Visual Fixations Duration as an Indicator of Skill Level in eSports.
Proceedings of the Human-Computer Interaction - INTERACT 2019, 2019

Sensors and Game Synchronization for Data Analysis in eSports.
Proceedings of the 17th IEEE International Conference on Industrial Informatics, 2019

2018
Meta-learning for resampling recommendation systems.
Proceedings of the Eleventh International Conference on Machine Vision, 2018

Aggregating strategies for long-term forecasting.
Proceedings of the 7th Symposium on Conformal and Probabilistic Prediction and Applications, 2018

2017
Long-Term Sequential Prediction Using Expert Advice.
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.
Proceedings of the 7th Annual International Conference on Biologically Inspired Cognitive Architectures, 2016


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