10 citations · 20 across the 2 of their papers we have counts for
9 papers
Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2 Benchmark
Alexander Korotin, Lingxiao Li, Aude Genevay +3
Despite the recent popularity of neural network-based solvers for optimal transport (OT), there is no standard quantitative way to evaluate their performance. In this paper, we add…
Large-Scale Wasserstein Gradient Flows
Petr Mokrov, Alexander Korotin, Lingxiao Li +3
Wasserstein gradient flows provide a powerful means of understanding and solving many diffusion equations. Specifically, Fokker-Planck equations, which model the diffusion of proba…
Wasserstein-2 Generative Networks
Alexander Korotin, Vage Egiazarian, Arip Asadulaev +2
We propose a novel end-to-end non-minimax algorithm for training optimal transport mappings for the quadratic cost (Wasserstein-2 distance). The algorithm uses input convex neural…
Sensors and Game Synchronization for Data Analysis in eSports
Anton Stepanov, Andrey Lange, Nikita Khromov +3
eSports industry has greatly progressed within the last decade in terms of audience and fund rising, broadcasting, networking and hardware. Since the number and quality of professi…
Towards Understanding of eSports Athletes' Potentialities: The Sensing System for Data Collection and Analysis
Alexander Korotin, Nikita Khromov, Anton Stepanov +3
eSports is a developing multidisciplinary research area. At present, there is a lack of relevant data collected from real eSports athletes and lack of platforms which could be used…
Visual Fixations Duration as an Indicator of Skill Level in eSports
Boris B. Velichkovsky, Nikita Khromov, Alexander Korotin +2
Using highly interactive systems like computer games requires a lot of visual activity and eye movements. Eye movements are best characterized by visual fixation - periods of time…