Korotin, Alexander
- Wasserstein-2 Generative Networks
2019/09/28 by Alexander Korotin, Vage Egiazarian, Korotin, Alexander +7 · 12 citations
Computer Science · #Advanced Image Processing Techniques #Computer Graphics and Visualization Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Optimal Flow Matching: Learning Straight Trajectories in Just One Step
2024/03/19 by Nikita Kornilov, Kornilov, Nikita, Alexander Gasnikov +4 · 22 citations
Computer Science · #Reinforcement Learning in Robotics #Anomaly Detection Techniques and Applications
- Do Neural Optimal Transport Solvers Work? A Continuous Wasserstein-2\n Benchmark
2021/06/03 by Alexander Korotin, Lingxiao Li, Korotin, Alexander +10 · 9 citations
Computer Science · Medicine · #Advanced Neural Network Applications #Advanced Neuroimaging Techniques and Applications #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
- Large-Scale Wasserstein Gradient Flows
2021/06/01 by Petr Mokrov, Alexander Korotin, Mokrov, Petr +9 · 8 citations
Computer Science · Mathematics · Medicine · #Advanced Neuroimaging Techniques and Applications #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Geometric Analysis and Curvature Flows #Machine Learning (cs.LG)
- Entropic Neural Optimal Transport via Diffusion Processes
2022/11/02 by Nikita Gushchin, Gushchin, Nikita, A. K. Kolesov +7 · 8 citations
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Generative Modeling with Optimal Transport Maps
2021/10/06 by Rout, Litu, Korotin, Alexander, Burnaev, Evgeny · 6 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Kernel Neural Optimal Transport
2022/05/30 by Korotin, Alexander, Selikhanovych, Daniil, Burnaev, Evgeny · 5 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Light and Optimal Schrödinger Bridge Matching
2024/02/05 by Gushchin, Nikita, Kholkin, Sergei, Burnaev, Evgeny +1 · 7 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Continuous Wasserstein-2 Barycenter Estimation without Minimax\n Optimization
2021/02/02 by Alexander Korotin, Lingxiao Li, Korotin, Alexander +5 · 4 citations
Computer Science · Environmental Science · Mathematics · #FOS: Computer and information sciences #Geometric Analysis and Curvature Flows #Groundwater flow and contamination studies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Topological and Geometric Data Analysis
- Energy-guided Entropic Neural Optimal Transport
2023/04/12 by Petr Mokrov, Mokrov, Petr, Alexander Korotin +4 · 4 citations
Computer Science · Materials Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning in Materials Science #Neural Networks and Applications
- Wasserstein Iterative Networks for Barycenter Estimation
2022/01/28 by Alexander Korotin, Korotin, Alexander, Vage Egiazarian +5 · 3 citations
Computer Science · Engineering · Neuroscience · #3D Shape Modeling and Analysis #Aesthetic Perception and Analysis #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Light Schrödinger Bridge
2023/10/02 by Alexander Korotin, Nikita Gushchin, Korotin, Alexander +3 · 4 citations
Computer Science · Materials Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning in Materials Science #Neural Networks and Applications
- Kantorovich Strikes Back! Wasserstein GANs are not Optimal Transport?
2022/06/15 by Korotin, Alexander, Kolesov, Alexander, Burnaev, Evgeny · 3 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Neural Optimal Transport with General Cost Functionals
2022/05/30 by Arip Asadulaev, Asadulaev, Arip, Alexander Korotin +7 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Neural Networks and Applications
- Adversarial Schrödinger Bridge Matching
2024/05/23 by Gushchin, Nikita, Selikhanovych, Daniil, Kholkin, Sergei +2 · 4 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- An Optimal Transport Perspective on Unpaired Image Super-Resolution
2022/02/02 by Milena Gazdieva, Gazdieva, Milena, Litu Rout +9 · 2 citations
Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Signal Denoising Methods #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Building the Bridge of Schrödinger: A Continuous Entropic Optimal Transport Benchmark
2023/06/16 by Nikita Gushchin, A. K. Kolesov, Gushchin, Nikita +11 · 2 citations
Computer Science · Materials Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Materials Science #Model Reduction and Neural Networks #Neural Networks and Applications
- Esports Athletes and Players: a Comparative Study
2018/12/07 by Khromov, Nikita, Korotin, Alexander, Lange, Andrey +3 · 1 citation
#Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC)
- Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
2023/10/02 by Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor +5 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Estimating Barycenters of Distributions with Neural Optimal Transport
2024/02/06 by Kolesov, Alexander, Mokrov, Petr, Udovichenko, Igor +4 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Loss Barcode: A Topological Measure of Escapability in Loss Landscapes
2020/12/31 by Serguei Barannikov, Daria Voronkova, Barannikov, Serguei +11 · 1 voice
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #Dynamical Systems (math.DS) #FOS: Computer and information sciences #FOS: Mathematics #Human Pose and Action Recognition #Information Theory (cs.IT) #Machine Learning (cs.LG) #Topological and Geometric Data Analysis #cs.AI #cs.IT #cs.LG #math.DS
- Optimal Transport Maps are Good Voice Converters
2024/10/17 by Arip Asadulaev, Rostislav Korst, Asadulaev, Arip +11 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Algorithms and Data Compression #Audio and Speech Processing (eess.AS) #DNA and Biological Computing #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
- InfoBridge: Mutual Information estimation via Bridge Matching
2025/02/03 by Kholkin, Sergei, Butakov, Ivan, Burnaev, Evgeny +2 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
2024/10/03 by Sergei Kholkin, Kholkin, Sergei, Grigoriy Ksenofontov +11 · 2 citations
Computer Science · #Image and Signal Denoising Methods #Face and Expression Recognition #Neural Networks and Applications
- Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
2023/03/10 by Carrasco, Xavier Aramayo, Nekrashevich, Maksim, Mokrov, Petr +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Rethinking Optimal Transport in Offline Reinforcement Learning
2024/10/17 by Asadulaev, Arip, Korst, Rostislav, Korotin, Alexander +3 · 2 citations
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
2024/10/04 by Gazdieva, Milena, Choi, Jaemoo, Kolesov, Alexander +3 · 2 citations
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- Inverse Bridge Matching Distillation
2025/02/03 by Nikita Gushchin, David Li, Gushchin, Nikita +9 · 3 citations
Engineering · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Water Quality Monitoring Technologies #Water Quality Monitoring and Analysis
- Field Matching: an Electrostatic Paradigm to Generate and Transfer Data
2025/02/04 by A. K. Kolesov, Kolesov, Alexander, Manukhov Stepan +4 · 3 citations
Computer Science · #Algorithms and Data Compression #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization
2024/10/03 by Persiianov, Mikhail, Asadulaev, Arip, Andreev, Nikita +5 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)