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Ivan Oseledets

  1. TT-cross approximation for multidimensional arrays
    2009/08/24 by Ivan Oseledets, Eugene E. Tyrtyshnikov, Eugene Tyrtyshnikov · 61 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Matrix Theory and Algorithms
  2. Speeding-up Convolutional Neural Networks Using Fine-tuned\n CP-Decomposition
    2014/12/19 by Vadim Lebedev, Lebedev, Vadim, Yaroslav Ganin +8 · 58 citations
    Computer Science · Mathematics · #Advanced Neural Network Applications #Tensor decomposition and applications #Computational Physics and Python Applications
  3. Your Transformer is Secretly Linear
    2024/05/19 by Anton Razzhigaev, Razzhigaev, Anton, Matvey Mikhalchuk +12 · 1 voice · 8 citations
    Engineering · #Physics and Engineering Research Articles
  4. Using Reinforcement Learning in the Algorithmic Trading Problem
    2019/12/01 by E. S. Ponomarev, Evgeny Ponomarev, Ivan Oseledets +3 · 1 voice · 1 citation
    Decision Sciences · Computer Science · #Stock Market Forecasting Methods #Advanced Bandit Algorithms Research #Reinforcement Learning in Robotics
  5. A projector-splitting integrator for dynamical low-rank approximation
    2013/01/06 by Christian Lubich, Ivan Oseledets, Lubich, Christian +1 · 16 citations
    Mathematics · Engineering · Computer Science · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques #Matrix Theory and Algorithms
  6. Hyperbolic Vision Transformers: Combining Improvements in Metric Learning
    2022/03/21 by Aleksandr Ermolov, Leyla Mirvakhabova, Ermolov, Aleksandr +7 · 18 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Video Surveillance and Tracking Methods #Human Pose and Action Recognition
  7. Stable Low-rank Tensor Decomposition for Compression of Convolutional\n Neural Network
    2020/08/12 by Anh Huy Phan, Константин Соболев, Phan, Anh-Huy +15 · 10 citations
    Computer Science · Mathematics · Physics and Astronomy · #Computational Physics and Python Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Solar and Space Plasma Dynamics #Tensor decomposition and applications
  8. TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning
    2022/04/30 by Konstantin Sozykin, Andrei Chertkov, Sozykin, Konstantin +9 · 8 citations
    Mathematics · #Tensor decomposition and applications
  9. Tensor networks in machine learning
    2022/07/06 by Richik Sengupta, Soumik Adhikary, Sengupta, Richik +5 · 5 citations
    Computer Science · Mathematics · #Computational Physics and Python Applications #Tensor decomposition and applications #Parallel Computing and Optimization Techniques
  10. 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
  11. Tensor-Train Density Estimation
    2021/07/30 by Georgii Novikov, Maxim Panov, Novikov, Georgii S. +3 · 4 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Computational Physics and Python Applications #Generative Adversarial Networks and Image Synthesis
  12. Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models
    2025/06/05 by Pengyi Li, Li, Pengyi, Matvey Skripkin +7 · 22 citations
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Multimodal Machine Learning Applications #Topic Modeling
  13. Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models
    2025/06/07 by Mikhail Salnikov, Salnikov, Mikhail, Dmitrii Korzh +18 · 1 voice · 3 citations
    Computer Science · Medicine · Social Sciences · #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Topic Modeling #cs.CL
  14. CLEAR: Character Unlearning in Textual and Visual Modalities
    2024/10/23 by Aleksej Dontsov, Dmitrii Korzh, Dontsov, Alexey +15 · 6 citations
    Psychology · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Second Language Acquisition and Learning
  15. QTT-isogeometric solver in two dimensions
    2018/02/08 by Larisa Markeeva, I. V. Tsybulin, Markeeva, L. +3 · 2 citations
    Computer Science · Engineering · Mathematics · #Advanced Numerical Analysis Techniques #FOS: Mathematics #Numerical Analysis (math.NA) #Polynomial and algebraic computation #Tensor decomposition and applications
  16. The Shape of Data: Intrinsic Distance for Data Distributions
    2019/05/27 by Anton Tsitsulin, Tsitsulin, Anton, Marina Munkhoeva +11 · 2 citations
    Computer Science · #Computer Graphics and Visualization Techniques #Data Visualization and Analytics #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Constructive TT-representation of the tensors given as index interaction functions with applications
    2022/06/08 by Gleb Ryzhakov, Ryzhakov, Gleb, Ivan Oseledets +1 · 2 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Parallel Computing and Optimization Techniques
  18. 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
  19. Explicit Flow Matching: On The Theory of Flow Matching Algorithms with Applications
    2024/02/05 by Gleb Ryzhakov, Ryzhakov, Gleb, Egor Sevriugov +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
  20. Art of singular vectors and universal adversarial perturbations
    2017/09/11 by Valentin Khrulkov, Ivan Oseledets, Khrulkov, Valentin +1 · 2 citations
    Computer Science · Engineering · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Integrated Circuits and Semiconductor Failure Analysis #Machine Learning (cs.LG)
  21. Translate your gibberish: black-box adversarial attack on machine translation systems
    2023/03/20 by Andrei Chertkov, Olga Tsymboi, Chertkov, Andrei +5 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Topic Modeling #Advanced Neural Network Applications
  22. Quantization Aware Factorization for Deep Neural Network Compression
    2023/08/08 by Daria Cherniuk, Cherniuk, Daria, Stanislav Abukhovich +9 · 2 citations
    Mathematics · Computer Science · #Tensor decomposition and applications #Advanced Neural Network Applications #Computational Physics and Python Applications
  23. Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in\n Collaborative Filtering
    2016/10/16 by Alexander Fonarev, Fonarev, Alexander, A. V. Mikhalëv +7 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Expert finding and Q&A systems #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Mobile Crowdsensing and Crowdsourcing #Recommender Systems and Techniques
  24. 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)
  25. Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
    2024/02/08 by Alexander Rudikov, Rudikov, Alexander, Vladimir Fanaskov +7 · 2 citations
    Computer Science · #Neural Networks and Applications
  26. Follow the bisector: a simple method for multi-objective optimization
    2020/07/14 by Alexandr Katrutsa, Daniil Merkulov, Katrutsa, Alexandr +5 · 1 citation
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #Machine Learning and Data Classification #Metaheuristic Optimization Algorithms Research
  27. GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation
    2024/05/13 by Andrey V. Galichin, Galichin, Andrey V., Mikhail Pautov +7 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning
  28. Survey on Large Scale Neural Network Training
    2022/02/21 by Julia Gusak, Gusak, Julia, Daria Cherniuk +19 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Stochastic Gradient Optimization Techniques
  29. Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
    2024/10/23 by Artem Basharin, Andrei Chertkov, Basharin, Artem +3 · 2 citations
    Computer Science · Mathematics · #Computational Physics and Python Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Tensor decomposition and applications
  30. Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
    2026/02/15 by Anton Korznikov, Andrey Galichin, Alexey Dontsov +3 · 1 voice
    Computer Science · #cs.LG
  31. TERM Model: Tensor Ring Mixture Model for Density Estimation
    2023/12/13 by Ruituo Wu, Jiani Liu, Wu, Ruituo +9 · 1 citation
    Mathematics · Computer Science · #Tensor decomposition and applications #Advanced Neural Network Applications #Machine Learning in Healthcare
  32. Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models
    2023/12/19 by Andrei Chertkov, Ivan Oseledets, Chertkov, Andrei +1 · 1 citation
    Computer Science · Mathematics · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #FOS: Mathematics #Numerical Analysis (math.NA) #Tensor decomposition and applications
  33. Certification of Speaker Recognition Models to Additive Perturbations
    2024/04/29 by Dmitrii Korzh, Elvir Karimov, Korzh, Dmitrii +7 · 1 citation
    Computer Science · #Speech Recognition and Synthesis #Speech and Audio Processing
  34. Bayesian Inverse Problems Meet Flow Matching: Efficient and Flexible Inference via Transformers
    2025/03/03 by Daniil Sherki, Ivan Oseledets, Sherki, Daniil +3 · 1 citation
    Computer Science · Physics and Astronomy · Mathematics · #Generative Adversarial Networks and Image Synthesis #Model Reduction and Neural Networks #Markov Chains and Monte Carlo Methods
  35. High-dimensional Optimization with Low Rank Tensor Sampling and Local Search
    2025/05/18 by Konstantin Sozykin, Sozykin, Konstantin, Andrei Chertkov +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
  36. SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers
    2024/10/09 by Viktoriia Chekalina, Anna Rudenko, Chekalina, Viktoriia +8 · 1 citation
    Biochemistry, Genetics and Molecular Biology · Computer Science · Engineering · #DNA and Biological Computing #Cellular Automata and Applications #Photonic and Optical Devices