Gleb Ryzhakov

1. Understanding DDPM Latent Codes Through Optimal Transport
   2022/02/14 by Valentin Khrulkov, Khrulkov, Valentin, Gleb Ryzhakov +5 · 1 voice · 4 citations
   Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Diffusion and Search Dynamics #Music and Audio Processing
2. Constructive TT-representation of the tensors given as index interaction functions with applications
   2022/06/08 by Gleb Ryzhakov, Ivan Oseledets, Ryzhakov, Gleb +1 · 2 citations
   Mathematics · Computer Science · #Tensor decomposition and applications #Parallel Computing and Optimization Techniques
3. Black box approximation in the tensor train format initialized by ANOVA decomposition
   2022/08/05 by Andrei Chertkov, Gleb Ryzhakov, Chertkov, Andrei +3 · 2 citations
   Mathematics · Computer Science · #Tensor decomposition and applications #Matrix Theory and Algorithms #Statistical and numerical algorithms
4. Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
   2024/02/05 by Gleb Ryzhakov, Ryzhakov, Gleb, Pavlova, Svetlana +4 · 3 citations
   Computer Science · Engineering · #Advanced Data Processing Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Network Security and Intrusion Detection #Traffic Prediction and Management Techniques
5. Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition
   2024/02/05 by Gleb Ryzhakov, Andrei Chertkov, Ryzhakov, Gleb +5 · 2 citations
   Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Inertial Sensor and Navigation #Machine Learning (cs.LG) #Matrix Theory and Algorithms #Optimization and Control (math.OC)
6. High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
   2025/05/18 by Konstantin Sozykin, Andrei Chertkov, Sozykin, Konstantin +7 · 2 citations
   Computer Science · Engineering · Mathematics · #FOS: Mathematics #Numerical Analysis (math.NA) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications