Ivan V. Oseledets

374 papers A* 32A 13C 1Journal 298Unranked 29

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Back to Basics: Revisiting Exploration in Reinforcement Learning for LLM Reasoning via Generative Probabilities. CoRR Pengyi Li, Elizaveta Goncharova, Andrey Kuznetsov, Ivan V. Oseledets
2026	J	`jnl`	CoMa: Contextual Massing Generation with Vision-Language Models. CoRR Evgenii Maslov, Valentin Khrulkov, Anastasia Volkova, Anton Gusarov, Andrey Kuznetsov, Ivan V. Oseledets
2026	—	`conf`	Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer. EACL (Volume 2: Short Papers) Pavel Tikhonov, Ivan V. Oseledets, Elena Tutubalina
2026	—	`conf`	Feature Drift: How Fine-Tuning Repurposes Representations in LLMs. EACL (Findings) Andrey V. Galichin, Anton Korznikov, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2026	J	`jnl`	Global Optimization of Atomic Clusters via Physically-Constrained Tensor Train Decomposition. CoRR Konstantin Sozykin, Nikita Rybin, Andrei Chertkov, Anh Huy Phan, Ivan V. Oseledets, Alexander V. Shapeev, Ivan Novikov, Gleb V. Ryzhakov
2026	A*	`conf`	I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. AAAI Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2026	J	`jnl`	IDLM: Inverse-distilled Diffusion Language Models. CoRR David Li, Nikita Gushchin, Dmitry Abulkhanov, Eric Moulines, Ivan V. Oseledets, Maxim Panov, Alexander Korotin
2026	J	`jnl`	ImprovEvolve: Ask AlphaEvolve to Improve the Input Solution and Then Improvise. CoRR Alexey Kravatskiy, Valentin Khrulkov, Ivan V. Oseledets
2026	J	`jnl`	Marchuk: Efficient Global Weather Forecasting from Mid-Range to Sub-Seasonal Scales via Flow Matching. CoRR Arsen Kuzhamuratov, Mikhail Zhirnov, Andrey Kuznetsov, Ivan V. Oseledets, Konstantin Sobolev
2026	J	`jnl`	Message-Passing GNNs Fail to Approximate Sparse Triangular Factorizations. Trans. Mach. Learn. Res. Vladislav Trifonov, Ekaterina A. Muravleva, Ivan V. Oseledets
2026	J	`jnl`	Quasi-random physics-informed neural networks. Neurocomputing Tianchi Yu, Ivan V. Oseledets
2026	J	`jnl`	Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines? CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina
2026	J	`jnl`	Spectral informed neural networks. J. Comput. Appl. Math. Tianchi Yu, Yiming Qi, Ivan V. Oseledets, Shiyi Chen
2026	J	`jnl`	T-MLA: A targeted multiscale log-exponential attack framework for neural image compression. Inf. Sci. Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen, Zhonghan Xu, Anh Huy Phan, Yipeng Liu, Ivan V. Oseledets
2025	J	`jnl`	A case study of spatiotemporal forecasting techniques for weather forecasting. GeoInformatica Shakir Showkat Sofi, Ivan V. Oseledets
2025	A*	`conf`	AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems. IJCAI Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets
2025	A*	`conf`	Associative memory and dead neurons. ICLR Vladimir Fanaskov, Ivan V. Oseledets
2025	J	`jnl`	Binding threshold units with artificial oscillatory neurons. CoRR Vladimir Fanaskov, Ivan V. Oseledets
2025	—	`conf`	CLARITY: Clinical Assistant for Routing, Inference, and Triage. EMNLP (Industry Track) Vladimir Shaposhnikov, Alexandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	CLARITY: Clinical Assistant for Routing, Inference, and Triage. CoRR Vladimir Shaposhnikov, Aleksandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	—	`conf`	CLEAR: Character Unlearning in Textual and Visual Modalities. ACL (Findings) Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina
2025	J	`jnl`	Can message-passing GNN approximate triangular factorizations of sparse matrices? CoRR Vladislav Trifonov, Ekaterina A. Muravleva, Ivan V. Oseledets
2025	A*	`conf`	Certification of Speaker Recognition Models to Additive Perturbations. AAAI Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	Cluster Topology-Driven Placement of Experts Reduces Network Traffic in MoE Inference. CoRR Danil Sivtsov, Aleksandr Katrutsa, Ivan V. Oseledets
2025	J	`jnl`	Combining Flow Matching and Transformers for Efficient Solution of Bayesian Inverse Problems. CoRR Daniil Sherki, Ivan V. Oseledets, Ekaterina A. Muravleva
2025	J	`jnl`	Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models. CoRR Pengyi Li, Matvey Skripkin, Alexander Zubrey, Andrey Kuznetsov, Ivan V. Oseledets
2025	J	`jnl`	Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence. CoRR Alexander Semenenko, Ivan Butakov, Alexey A. Frolov, Ivan V. Oseledets
2025	J	`jnl`	Data-driven optimal prediction with control. Commun. Nonlinear Sci. Numer. Simul. Aleksandr Katrutsa, Ivan V. Oseledets, Sergey V. Utyuzhnikov
2025	J	`jnl`	Deep Learning for Subspace Regression. CoRR Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina A. Muravleva, Ivan V. Oseledets
2025	J	`jnl`	Diagonal Batching Unlocks Parallelism in Recurrent Memory Transformers for Long Contexts. CoRR Danil Sivtsov, Ivan Rodkin, Gleb Kuzmin, Yuri Kuratov, Ivan V. Oseledets
2025	J	`jnl`	Exploring specialization and sensitivity of convolutional neural networks in the context of simultaneous image augmentations. CoRR Pavel Kharyuk, Sergey A. Matveev, Ivan V. Oseledets
2025	A*	`conf`	Exploring the Hidden Capacity of LLMs for One-Step Text Generation. EMNLP Gleb Mezentsev, Ivan V. Oseledets
2025	J	`jnl`	Exploring the Latent Capacity of LLMs for One-Step Text Generation. CoRR Gleb Mezentsev, Ivan V. Oseledets
2025	J	`jnl`	FLAME: Flexible LLM-Assisted Moderation Engine. CoRR Ivan Bakulin, Ilia Kopanichuk, Iaroslav Bespalov, Nikita Radchenko, Vladimir Shaposhnikov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	FMMI: Flow Matching Mutual Information Estimation. CoRR Ivan Butakov, Alexander Semenenko, Alexey A. Frolov, Ivan V. Oseledets
2025	J	`jnl`	Fast gradient-free activation maximization for neurons in spiking neural networks. Neurocomputing Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin
2025	J	`jnl`	GLiRA: Closed-Box Membership Inference Attack via Knowledge Distillation. IEEE Trans. Inf. Forensics Secur. Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	Geological Field Restoration through the Lens of Image Inpainting. CoRR Vladislav Trifonov, Ivan V. Oseledets, Ekaterina A. Muravleva
2025	J	`jnl`	Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models. CoRR Mikhail Salnikov, Dmitrii Korzh, Ivan Lazichny, Elvir Karimov, Artyom Iudin, Ivan V. Oseledets, Oleg Y. Rogov, Natalia V. Loukachevitch, Alexander Panchenko, Elena Tutubalina
2025	J	`jnl`	GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms. CoRR Valentin Khrulkov, Andrey V. Galichin, Denis Bashkirov, Dmitry Vinichenko, Oleg Travkin, Roman Alferov, Andrey Kuznetsov, Ivan V. Oseledets
2025	J	`jnl`	High-dimensional Optimization with Low Rank Tensor Sampling and Local Search. CoRR Konstantin Sozykin, Andrei Chertkov, Anh Huy Phan, Ivan V. Oseledets, Gleb V. Ryzhakov
2025	J	`jnl`	How to Evaluate Medical AI. CoRR Ilia Kopanichuk, Petr Anokhin, Vladimir Shaposhnikov, Vladimir Makharev, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets
2025	J	`jnl`	I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. CoRR Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Y. Rogov, Elena Tutubalina, Ivan V. Oseledets
2025	—	`conf`	LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers. NAACL (Findings) Anton Razzhigaev, Matvey Mikhalchuk, Temurbek Rahmatullaev, Elizaveta Goncharova, Polina Druzhinina, Ivan V. Oseledets, Andrey Kuznetsov
2025	J	`jnl`	LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers. CoRR Anton Razzhigaev, Matvey Mikhalchuk, Temurbek Rahmatullaev, Elizaveta Goncharova, Polina Druzhinina, Ivan V. Oseledets, Andrey Kuznetsov
2025	J	`jnl`	Listener-Rewarded Thinking in VLMs for Image Preferences. CoRR Alexander Gambashidze, Pengyi Li, Matvey Skripkin, Andrey V. Galichin, Anton Gusarov, Konstantin Sobolev, Andrey Kuznetsov, Ivan V. Oseledets
2025	J	`jnl`	Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving. CoRR Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina A. Muravleva, Yalchin Efendiev, Ivan V. Oseledets
2025	J	`jnl`	Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers. CoRR Andrei Chertkov, Artem Basharin, Mikhail Saygin, Evgeny Frolov, Stanislav Straupe, Ivan V. Oseledets
2025	J	`jnl`	M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation. CoRR Boris Shirokikh, Anvar Kurmukov, Maria Donskova, Valentin Samokhin, Mikhail Belyaev, Ivan V. Oseledets
2025	J	`jnl`	Matcha: Multi-Stage Riemannian Flow Matching for Accurate and Physically Valid Molecular Docking. CoRR Daria Frolova, Talgat Daulbaev, Egor Sevriugov, Sergei A. Nikolenko, Dmitry N. Ivankov, Ivan V. Oseledets, Marina A. Pak
2025	J	`jnl`	MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding. CoRR Pengyi Li, Irina Abdullaeva, Alexander Gambashidze, Andrey Kuznetsov, Ivan V. Oseledets
2025	J	`jnl`	Multi-Agent GraphRAG: A Text-to-Cypher Framework for Labeled Property Graphs. CoRR Anton Gusarov, Anastasia Volkova, Valentin Khrulkov, Andrey Kuznetsov, Evgenii Maslov, Ivan V. Oseledets
2025	J	`jnl`	NNTile: a machine learning framework capable of training extremely large GPT language models on a single node. CoRR Aleksandr Mikhalev, Aleksandr Katrutsa, Konstantin Sozykin, Ivan V. Oseledets
2025	J	`jnl`	On the Spatial Structure of Mixture-of-Experts in Transformers. CoRR Daniel Bershatsky, Ivan V. Oseledets
2025	J	`jnl`	One Task Vector is not Enough: A Large-Scale Study for In-Context Learning. CoRR Pavel Tikhonov, Ivan V. Oseledets, Elena Tutubalina
2025	J	`jnl`	OrtSAE: Orthogonal Sparse Autoencoders Uncover Atomic Features. CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets
2025	J	`jnl`	Quasi-Random Physics-informed Neural Networks. CoRR Tianchi Yu, Ivan V. Oseledets
2025	—	`conf`	Random Direct Preference Optimization for Radiography Report Generation. MedAGI Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2025	J	`jnl`	Random Direct Preference Optimization for Radiography Report Generation. CoRR Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev
2025	—	`conf`	Run LoRA Run: Faster and Lighter LoRA Implementations. ACL (6) Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
2025	J	`jnl`	Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images. CoRR Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Ivan V. Oseledets, Marina Munkhoeva, Maxim Panov
2025	J	`jnl`	Spectral Analysis of the Weighted Frobenius Objective. CoRR Vladislav Trifonov, Ivan V. Oseledets, Ekaterina A. Muravleva
2025	J	`jnl`	Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences. CoRR Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Y. Rogov, Ivan V. Oseledets
2025	J	`jnl`	Spread them Apart: Towards Robust Watermarking of Generated Content. CoRR Mikhail Pautov, Danil Ivanov, Andrey V. Galichin, Oleg Rogov, Ivan V. Oseledets
2025	J	`jnl`	T-MLA: A Targeted Multiscale Log-Exponential Attack Framework for Neural Image Compression. CoRR Nikolay I. Kalmykov, Razan Dibo, Kaiyu Shen, Zhonghan Xu, Anh Huy Phan, Yipeng Liu, Ivan V. Oseledets
2025	J	`jnl`	The Ky Fan Norms and Beyond: Dual Norms and Combinations for Matrix Optimization. CoRR Alexey Kravatskiy, Ivan Kozyrev, Nikolai Kozlov, Alexander Vinogradov, Daniil Merkulov, Ivan V. Oseledets
2025	J	`jnl`	The Rogue Scalpel: Activation Steering Compromises LLM Safety. CoRR Anton Korznikov, Andrey V. Galichin, Alexey Dontsov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina
2024	—	`conf`	Anatomical Positional Embeddings. MICCAI (10) Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024	J	`jnl`	Anatomical Positional Embeddings. CoRR Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets
2024	J	`jnl`	Associative memory and dead neurons. CoRR Vladimir Fanaskov, Ivan V. Oseledets
2024	J	`jnl`	Astral: training physics-informed neural networks with error majorants. CoRR Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
2024	J	`jnl`	Black-Box Approximation and Optimization with Hierarchical Tucker Decomposition. CoRR Gleb V. Ryzhakov, Andrei Chertkov, Artem Basharin, Ivan V. Oseledets
2024	J	`jnl`	CLEAR: Character Unlearning in Textual and Visual Modalities. CoRR Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Y. Rogov, Ivan V. Oseledets, Elena Tutubalina
2024	J	`jnl`	Certification of Speaker Recognition Models to Additive Perturbations. CoRR Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets
2024	J	`jnl`	ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations. CoRR Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2024	J	`jnl`	Corrections to "Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD)". IEEE Access Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets
2024	J	`jnl`	Data-driven optimal prediction with control. CoRR Aleksandr Katrutsa, Ivan V. Oseledets, Sergey V. Utyuzhnikov
2024	J	`jnl`	Fast gradient-free activation maximization for neurons in spiking neural networks. CoRR Nikita Pospelov, Andrei Chertkov, Maxim Beketov, Ivan V. Oseledets, Konstantin Anokhin
2024	J	`jnl`	Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition. CoRR Artem Basharin, Andrei Chertkov, Ivan V. Oseledets
2024	J	`jnl`	Federated privacy-preserving collaborative filtering for on-device next app prediction. User Model. User Adapt. Interact. Albert Saiapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin
2024	J	`jnl`	Fourier Spectral Physics Informed Neural Network: An Efficient and Low-Memory PINN. CoRR Tianchi Yu, Yiming Qi, Ivan V. Oseledets, Shiyi Chen
2024	J	`jnl`	GLiRA: Black-Box Membership Inference Attack via Knowledge Distillation. CoRR Andrey V. Galichin, Mikhail Pautov, Alexey Zhavoronkin, Oleg Y. Rogov, Ivan V. Oseledets
2024	A	`conf`	General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. ECAI Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets
2024	J	`jnl`	Integrating Geodesic Interpolation and Flow Matching for Non-Autoregressive Text Generation in Logit Space. CoRR Egor Sevriugov, Ivan V. Oseledets
2024	J	`jnl`	Inverted Activations. CoRR Georgii S. Novikov, Ivan V. Oseledets
2024	J	`jnl`	Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers. CoRR Vladislav Trifonov, Alexander Rudikov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2024	J	`jnl`	LoTR: Low Tensor Rank Weight Adaptation. CoRR Daniel Bershatsky, Daria Cherniuk, Talgat Daulbaev, Aleksandr Mikhalev, Ivan V. Oseledets
2024	J	`jnl`	Multiparticle Kalman filter for object localization in symmetric environments. Expert Syst. Appl. Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
2024	J	`jnl`	Neural functional a posteriori error estimates. CoRR Vladimir Fanaskov, Alexander Rudikov, Ivan V. Oseledets
2024	A*	`conf`	Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving. ICML Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets
2024	J	`jnl`	Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving. CoRR Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets
2024	J	`jnl`	OmniFusion Technical Report. CoRR Elizaveta Goncharova, Anton Razzhigaev, Matvey Mikhalchuk, Maxim Kurkin, Irina Abdullaeva, Matvey Skripkin, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
2024	J	`jnl`	On the efficient preconditioning of the Stokes equations in tight geometries. Numer. Linear Algebra Appl. Vladislav Pimanov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2024	A*	`conf`	Probabilistically Robust Watermarking of Neural Networks. IJCAI Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets
2024	J	`jnl`	Probabilistically Robust Watermarking of Neural Networks. CoRR Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets
2024	J	`jnl`	Quantization Aware Factorization for Deep Neural Network Compression. J. Artif. Intell. Res. Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak
2024	A	`conf`	Quantization of Large Language Models with an Overdetermined Basis. UAI Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024	J	`jnl`	Quantization of Large Language Models with an Overdetermined Basis. CoRR Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin
2024	A	`conf`	RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CIKM Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov
2024	J	`jnl`	RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. CoRR Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov
2024	A	`conf`	Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. RecSys Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov
2024	J	`jnl`	Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. CoRR Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov
2024	A	`conf`	Self-Attentive Sequential Recommendations with Hyperbolic Representations. RecSys Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets
2024	J	`jnl`	Sinc Kolmogorov-Arnold Network and Its Applications on Physics-informed Neural Networks. CoRR Tianchi Yu, Jingwei Qiu, Jiang Yang, Ivan V. Oseledets
2024	J	`jnl`	Smart Flow Matching: On The Theory of Flow Matching Algorithms with Applications. CoRR Gleb V. Ryzhakov, Svetlana Pavlova, Egor Sevriugov, Ivan V. Oseledets
2024	J	`jnl`	Sparse and Transferable Universal Singular Vectors Attack. CoRR Kseniia Kuvshinova, Olga Tsymboi, Ivan V. Oseledets
2024	A*	`conf`	SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. EMNLP Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets
2024	J	`jnl`	SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. CoRR Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Alexander Mikhalev, Alexander Panchenko, Ivan V. Oseledets
2024	J	`jnl`	TQCompressor: improving tensor decomposition methods in neural networks via permutations. CoRR Vadim Abronin, Aleksei Naumov, Denis Mazur, Dmitriy Bystrov, Katerina Tsarova, Artem Melnikov, Ivan V. Oseledets, Sergey Dolgov, Reuben Brasher, Michael Perelshtein
2024	J	`jnl`	Tensor-Train Point Cloud Compression and Efficient Approximate Nearest-Neighbor Search. CoRR Georgii S. Novikov, Alexander Gneushev, Alexey Kadeishvili, Ivan V. Oseledets
2024	—	`conf`	The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. EACL (Findings) Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
2024	—	`conf`	Your Transformer is Secretly Linear. ACL (1) Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
2024	J	`jnl`	Your Transformer is Secretly Linear. CoRR Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
2023	J	`jnl`	Adaptive Cross Tubal Tensor Approximation. CoRR Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Anastasia Sozykina, Zaher Al Aghbari, Jun Wang, Ivan V. Oseledets
2023	J	`jnl`	An event-triggered iteratively reweighted convex optimization approach to multi-period portfolio selection. Expert Syst. Appl. Filipp Skomorokhov, Jun Wang, George V. Ovchinnikov, Evgeny Burnaev, Ivan V. Oseledets
2023	J	`jnl`	Benchmark for Building Segmentation on Up-Scaled Sentinel-2 Imagery. Remote. Sens. Svetlana Illarionova, Dmitrii Shadrin, Islomjon Shukhratov, Ksenia Evteeva, Georgii Popandopulo, Nazar Sotiriadi, Ivan V. Oseledets, Evgeny Burnaev
2023	J	`jnl`	Black Box Approximation in the Tensor Train Format Initialized by ANOVA Decomposition. SIAM J. Sci. Comput. Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
2023	J	`jnl`	Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR Marina Munkhoeva, Ivan V. Oseledets
2023	A*	`conf`	Constructive TT-representation of the tensors given as index interaction functions with applications. ICLR Gleb V. Ryzhakov, Ivan V. Oseledets
2023	J	`jnl`	Dynamic Collaborative Filtering for Matrix- and Tensor-based Recommender Systems. CoRR Albert Saiapin, Ivan V. Oseledets, Evgeny Frolov
2023	C	`conf`	Efficient GPT Model Pre-training using Tensor Train Matrix Representation. PACLIC Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets
2023	J	`jnl`	Efficient GPT Model Pre-training using Tensor Train Matrix Representation. CoRR Viktoria Chekalina, Georgii S. Novikov, Julia Gusak, Ivan V. Oseledets, Alexander Panchenko
2023	J	`jnl`	Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. J. Comput. Phys. Aleksandr Katrutsa, Sergey V. Utyuzhnikov, Ivan V. Oseledets
2023	—	`conf`	Fast Adaptive Cross Tubal Tensor Approximation. SSP Salman Ahmadi-Asl, Anh Huy Phan, Andrzej Cichocki, Ashish Jha, Anastasia Sozykina, Jun Wang, Ivan V. Oseledets
2023	J	`jnl`	Fast cross tensor approximation for image and video completion. Signal Process. Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Ivan V. Oseledets, Jun Wang
2023	—	`conf`	Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. UNSURE@MICCAI Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets
2023	J	`jnl`	Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction. CoRR Albert Sayapin, Gleb Balitskiy, Daniel Bershatsky, Aleksandr Katrutsa, Evgeny Frolov, Alexey A. Frolov, Ivan V. Oseledets, Vitaliy Kharin
2023	A*	`conf`	Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. ICML Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan V. Oseledets
2023	A*	`conf`	General Covariance Data Augmentation for Neural PDE Solvers. ICML Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
2023	J	`jnl`	General Covariance Data Augmentation for Neural PDE Solvers. CoRR Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets
2023	J	`jnl`	General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. CoRR Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets
2023	—	`conf`	Layerwise universal adversarial attack on NLP models. ACL (Findings) Olga Tsymboi, Danil Malaev, Andrei Petrovskii, Ivan V. Oseledets
2023	J	`jnl`	Local convergence of alternating low-rank optimization methods with overrelaxation. Numer. Linear Algebra Appl. Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew
2023	—	`conf`	Machine Learning Algorithms for Parameter Identification for Reactive Flow in Porous Media. LSSC Daria Fokina, Vasiliy V. Grigoriev, Oleg Iliev, Ivan V. Oseledets
2023	J	`jnl`	Machine learning methods for prediction of breakthrough curves in reactive porous media. CoRR Daria Fokina, Pavel Toktaliev, Oleg Iliev, Ivan V. Oseledets
2023	J	`jnl`	Memory-efficient particle filter recurrent neural network for object localization. CoRR Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
2023	J	`jnl`	Mitigating Human and Computer Opinion Fraud via Contrastive Learning. CoRR Yuliya Tukmacheva, Ivan V. Oseledets, Evgeny Frolov
2023	J	`jnl`	Multiparticle Kalman filter for object localization in symmetric environments. CoRR Roman Korkin, Ivan V. Oseledets, Aleksandr Katrutsa
2023	A*	`conf`	Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. NeurIPS Marina Munkhoeva, Ivan V. Oseledets
2023	J	`jnl`	On the efficient preconditioning of the Stokes equations in tight geometries. CoRR Vladislav Pimanov, Oleg Iliev, Ivan V. Oseledets, Ekaterina A. Muravleva
2023	J	`jnl`	On the structure of the Schur complement matrix for the Stokes equation. CoRR Vladislav Pimanov, Ekaterina A. Muravleva, Ivan V. Oseledets, Oleg Iliev
2023	A*	`conf`	PROTES: Probabilistic Optimization with Tensor Sampling. NeurIPS Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
2023	J	`jnl`	PROTES: Probabilistic Optimization with Tensor Sampling. CoRR Anastasia Batsheva, Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
2023	J	`jnl`	PseudoAugment: Enabling Smart Checkout Adoption for New Classes Without Human Annotation. IEEE Access Sergey Nesteruk, Svetlana Illarionova, Ilya Zherebzov, Claire Traweek, Nadezhda Mikhailova, Andrey Somov, Ivan V. Oseledets
2023	J	`jnl`	Quantization Aware Factorization for Deep Neural Network Compression. CoRR Daria Cherniuk, Stanislav Abukhovich, Anh Huy Phan, Ivan V. Oseledets, Andrzej Cichocki, Julia Gusak
2023	J	`jnl`	Robust GAN inversion. CoRR Egor Sevriugov, Ivan V. Oseledets
2023	J	`jnl`	Run LoRA Run: Faster and Lighter LoRA Implementations. CoRR Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets
2023	J	`jnl`	TERM Model: Tensor Ring Mixture Model for Density Estimation. CoRR Ruituo Wu, Jiani Liu, Ce Zhu, Anh Huy Phan, Ivan V. Oseledets, Yipeng Liu
2023	J	`jnl`	TT-SDF2PC: Registration of Point Cloud and Compressed SDF Directly in the Memory-Efficient Tensor Train Domain. CoRR Alexey I. Boyko, Anastasiia Kornilova, Rahim Tariverdizadeh, Mirfarid Musavian Ghazani, Larisa Markeeva, Ivan V. Oseledets, Gonzalo Ferrer
2023	J	`jnl`	Tensor Extrema Estimation Via Sampling: A New Approach for Determining Minimum/Maximum Elements. Comput. Sci. Eng. Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
2023	J	`jnl`	Tensor Train Decomposition for Adversarial Attacks on Computer Vision Models. CoRR Andrei Chertkov, Ivan V. Oseledets
2023	J	`jnl`	Tensor-Based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. IEEE Access Evgeny Frolov, Ivan V. Oseledets
2023	J	`jnl`	The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. CoRR Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov
2023	J	`jnl`	Translate your gibberish: black-box adversarial attack on machine translation systems. CoRR Andrei Chertkov, Olga Tsymboi, Mikhail Pautov, Ivan V. Oseledets
2023	A*	`conf`	Understanding DDPM Latent Codes Through Optimal Transport. ICLR Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets
2023	J	`jnl`	Unsupervised evaluation of GAN sample quality: Introducing the TTJac Score. CoRR Egor Sevriugov, Ivan V. Oseledets
2022	J	`jnl`	A Single Image Deep Learning Approach to Restoration of Corrupted Landsat-7 Satellite Images. Sensors Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
2022	J	`jnl`	A Survey of Computer Vision Techniques for Forest Characterization and Carbon Monitoring Tasks. Remote. Sens. Svetlana Illarionova, Dmitrii Shadrin, Polina Tregubova, Vladimir Ignatiev, Albert Efimov, Ivan V. Oseledets, Evgeny Burnaev
2022	J	`jnl`	A case study of spatiotemporal forecasting techniques for weather forecasting. CoRR Shakir Showkat Sofi, Ivan V. Oseledets
2022	J	`jnl`	Are Quantum Computers Practical Yet? A Case for Feature Selection in Recommender Systems using Tensor Networks. CoRR Artyom Nikitin, Andrei Chertkov, Rafael Ballester-Ripoll, Ivan V. Oseledets, Evgeny Frolov
2022	J	`jnl`	Augmentation-Based Methodology for Enhancement of Trees Map Detalization on a Large Scale. Remote. Sens. Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets
2022	J	`jnl`	Automatic Differentiation for Riemannian Optimization on Low-Rank Matrix and Tensor-Train Manifolds. SIAM J. Sci. Comput. Alexander Novikov, Maxim V. Rakhuba, Ivan V. Oseledets
2022	J	`jnl`	Bayesian Aggregation Improves Traditional Single-Image Crop Classification Approaches. Sensors Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Maxim A. Kuznetsov, Raghavendra B. Jana, Maria Pukalchik, Ivan V. Oseledets
2022	J	`jnl`	Black box approximation in the tensor train format initialized by ANOVA decomposition. CoRR Andrei Chertkov, Gleb V. Ryzhakov, Ivan V. Oseledets
2022	A*	`conf`	CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. AAAI Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2022	J	`jnl`	Constructive TT-representation of the tensors given as index interaction functions with applications. CoRR Gleb V. Ryzhakov, Ivan V. Oseledets
2022	J	`jnl`	Cross Tensor Approximation for Image and Video Completion. CoRR Salman Ahmadi-Asl, Maame Gyamfua Asante-Mensah, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Jun Wang
2022	J	`jnl`	Denoising Score Matching via Random Fourier Features. IEEE Access Olga Tsymboi, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2022	J	`jnl`	Direct optimization of BPX preconditioners. CoRR Vladimir Fanaskov, Ivan V. Oseledets
2022	J	`jnl`	Direct optimization of BPX preconditioners. J. Comput. Appl. Math. Ivan V. Oseledets, Vladimir Fanaskov
2022	J	`jnl`	Eco2AI: carbon emissions tracking of machine learning models as the first step towards sustainable AI. CoRR Semen A. Budennyy, Vladimir D. Lazarev, Nikita Zakharenko, Alexey N. Korovin, Olga Plosskaya, Denis Dimitrov, Vladimir Arkhipkin, Ivan V. Oseledets, Ivan Barsola, Ilya Egorov, Aleksandra Kosterina, Leonid Zhukov
2022	J	`jnl`	Estimation of the Canopy Height Model From Multispectral Satellite Imagery With Convolutional Neural Networks. IEEE Access Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan V. Oseledets
2022	J	`jnl`	Extension of Dynamic Mode Decomposition for dynamic systems with incomplete information based on t-model of optimal prediction. CoRR Alexandr Katrutsa, Sergey V. Utyuzhnikov, Ivan V. Oseledets
2022	J	`jnl`	FMM-Net: neural network architecture based on the Fast Multipole Method. CoRR Daria A. Sushnikova, Pavel Kharyuk, Ivan V. Oseledets
2022	J	`jnl`	Few-Bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. CoRR Georgii S. Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Dimitrov, Ivan V. Oseledets
2022	A	`conf`	Geometry-Inspired Top-k Adversarial Perturbations. WACV Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2022	A*	`conf`	Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CVPR Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
2022	J	`jnl`	Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. CoRR Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets
2022	J	`jnl`	Memory-Efficient Backpropagation through Large Linear Layers. CoRR Daniel Bershatsky, Aleksandr Mikhalev, Alexandr Katrutsa, Julia Gusak, Daniil Merkulov, Ivan V. Oseledets
2022	J	`jnl`	NAG-GS: Semi-Implicit, Accelerated and Robust Stochastic Optimizers. CoRR Valentin Leplat, Daniil Merkulov, Aleksandr Katrutsa, Daniel Bershatsky, Ivan V. Oseledets
2022	J	`jnl`	On the Performance of Machine Learning Methods for Breakthrough Curve Prediction. CoRR Daria Fokina, Oleg Iliev, Pavel Toktaliev, Ivan V. Oseledets, Felix Schindler
2022	J	`jnl`	Optimization of Functions Given in the Tensor Train Format. CoRR Andrei Chertkov, Gleb V. Ryzhakov, Georgii S. Novikov, Ivan V. Oseledets
2022	J	`jnl`	Quantized Tensor FEM for Multiscale Problems: Diffusion Problems in Two and Three Dimensions. Multiscale Model. Simul. Vladimir A. Kazeev, Ivan V. Oseledets, Maxim V. Rakhuba, Christoph Schwab
2022	A*	`conf`	Smoothed Embeddings for Certified Few-Shot Learning. NeurIPS Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2022	J	`jnl`	Smoothed Embeddings for Certified Few-Shot Learning. CoRR Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2022	J	`jnl`	Spectral Neural Operators. CoRR Vladimir Fanaskov, Ivan V. Oseledets
2022	A*	`conf`	Survey on Efficient Training of Large Neural Networks. IJCAI Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleh Shliazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
2022	J	`jnl`	Survey on Large Scale Neural Network Training. CoRR Julia Gusak, Daria Cherniuk, Alena Shilova, Alexandr Katrutsa, Daniel Bershatsky, Xunyi Zhao, Lionel Eyraud-Dubois, Oleg Shlyazhko, Denis Dimitrov, Ivan V. Oseledets, Olivier Beaumont
2022	A	`conf`	T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. BMVC Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets
2022	J	`jnl`	T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. CoRR Mikhail Usvyatsov, Rafael Ballester-Ripoll, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets
2022	A*	`conf`	TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. NeurIPS Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh-Huy Phan, Andrzej S. Cichocki, Ivan V. Oseledets
2022	J	`jnl`	TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning. CoRR Konstantin Sozykin, Andrei Chertkov, Roman Schutski, Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets
2022	J	`jnl`	Tensor networks in machine learning. CoRR Richik Sengupta, Soumik Adhikary, Ivan V. Oseledets, Jacob D. Biamonte
2022	J	`jnl`	Tensor-based Collaborative Filtering With Smooth Ratings Scale. CoRR Nikita Marin, Elizaveta Makhneva, Maria Lysyuk, Vladimir Chernyy, Ivan V. Oseledets, Evgeny Frolov
2022	J	`jnl`	Tensor-based Sequential Learning via Hankel Matrix Representation for Next Item Recommendations. CoRR Evgeny Frolov, Ivan V. Oseledets
2022	J	`jnl`	Understanding DDPM Latent Codes Through Optimal Transport. CoRR Valentin Khrulkov, Ivan V. Oseledets
2022	J	`jnl`	XtremeAugment: Getting More From Your Data Through Combination of Image Collection and Image Augmentation. IEEE Access Sergey Nesteruk, Svetlana Illarionova, Timur Akhtyamov, Dmitrii Shadrin, Andrey Somov, Mariia Pukalchik, Ivan V. Oseledets
2021	—	`conf`	A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. ICCS (4) Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets
2021	A*	`conf`	Adversarial Turing Patterns from Cellular Automata. AAAI Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets
2021	J	`jnl`	Automatic differentiation for Riemannian optimization on low-rank matrix and tensor-train manifolds. CoRR Alexander Novikov, Maxim V. Rakhuba, Ivan V. Oseledets
2021	J	`jnl`	CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. CoRR Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2021	J	`jnl`	Cross Tensor Approximation Methods for Compression and Dimensionality Reduction. IEEE Access Salman Ahmadi-Asl, Cesar F. Caiafa, Andrzej Cichocki, Anh Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets, Jun Wang
2021	—	`conf`	Deep Neural Networks and Adaptive Quadrature for Solving Variational Problems. LSSC Daria Fokina, Oleg Iliev, Ivan V. Oseledets
2021	J	`jnl`	Denoising Score Matching with Random Fourier Features. CoRR Tsimboy Olga, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2021	J	`jnl`	Disentangled Representations from Non-Disentangled Models. CoRR Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	A	`conf`	Dynamic Modeling of User Preferences for Stable Recommendations. UMAP Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov
2021	J	`jnl`	Dynamic Modeling of User Preferences for Stable Recommendations. CoRR Oluwafemi Olaleke, Ivan V. Oseledets, Evgeny Frolov
2021	J	`jnl`	FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2021	A*	`conf`	Functional Space Analysis of Local GAN Convergence. ICML Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
2021	J	`jnl`	Functional Space Analysis of Local GAN Convergence. CoRR Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets
2021	J	`jnl`	Generation of the NIR Spectral Band for Satellite Images with Convolutional Neural Networks. Sensors Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets
2021	J	`jnl`	Generation of the NIR spectral Band for Satellite Images with Convolutional Neural Networks. CoRR Svetlana Illarionova, Dmitrii Shadrin, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets
2021	J	`jnl`	Latency Estimation Tool and Investigation of Neural Networks Inference on Mobile GPU. Comput. Evgeny Ponomarev, Sergey A. Matveev, Ivan V. Oseledets, Valery Glukhov
2021	A*	`conf`	Latent Transformations via NeuralODEs for GAN-based Image Editing. ICCV Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	J	`jnl`	Latent Transformations via NeuralODEs for GAN-based Image Editing. CoRR Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko
2021	J	`jnl`	Local convergence of alternating low-rank optimization methods with overrelaxation. CoRR Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew
2021	J	`jnl`	Meta-Solver for Neural Ordinary Differential Equations. CoRR Julia Gusak, Alexandr Katrutsa, Talgat Daulbaev, Andrzej Cichocki, Ivan V. Oseledets
2021	J	`jnl`	MixChannel: Advanced Augmentation for Multispectral Satellite Images. Remote. Sens. Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Maria Pukalchik, Ivan V. Oseledets
2021	J	`jnl`	Neural-Based Hierarchical Approach for Detailed Dominant Forest Species Classification by Multispectral Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Svetlana Illarionova, Alexey Trekin, Vladimir Ignatiev, Ivan V. Oseledets
2021	J	`jnl`	Object-Based Augmentation Improves Quality of Remote SensingSemantic Segmentation. CoRR Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets
2021	—	`conf`	Object-Based Augmentation for Building Semantic Segmentation: Ventura and Santa Rosa Case Study. ICCVW Svetlana Illarionova, Sergey Nesteruk, Dmitrii Shadrin, Vladimir Ignatiev, Mariia Pukalchik, Ivan V. Oseledets
2021	J	`jnl`	Optimal soil sampling design based on the maxvol algorithm. CoRR Anna Petrovskaia, Gleb V. Ryzhakov, Ivan V. Oseledets
2021	J	`jnl`	QTT-isogeometric solver in two dimensions. J. Comput. Phys. Larisa Markeeva, I. Tsybulin, Ivan V. Oseledets
2021	J	`jnl`	Randomized Algorithms for Computation of Tucker Decomposition and Higher Order SVD (HOSVD). IEEE Access Salman Ahmadi-Asl, Stanislav Abukhovich, Maame G. Asante-Mensah, Andrzej Cichocki, Anh-Huy Phan, Toshihisa Tanaka, Ivan V. Oseledets
2021	J	`jnl`	Randomized algorithms for fast computation of low rank tensor ring model. Mach. Learn. Sci. Technol. Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Maame G. Asante-Mensah, Mirfarid Musavian Ghazani, Toshihisa Tanaka, Ivan V. Oseledets
2021	J	`jnl`	Solution of the Fokker-Planck Equation by Cross Approximation Method in the Tensor Train Format. Frontiers Artif. Intell. Andrei Chertkov, Ivan V. Oseledets
2021	J	`jnl`	Solution of the Fokker-Planck equation by cross approximation method in the tensor train format. CoRR Andrei Chertkov, Ivan V. Oseledets
2021	J	`jnl`	Tensor-Train Density Estimation. CoRR Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets
2021	A	`conf`	Tensor-train density estimation. UAI Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets
2021	J	`jnl`	Two-phase approaches to optimal model-based design of experiments: how many experiments and which ones? Comput. Chem. Eng. Charlie Vanaret, Philipp Seufert, Jan Schwientek, Gleb Karpov, Gleb V. Ryzhakov, Ivan V. Oseledets, Norbert Asprion, Michael Bortz
2020	J	`jnl`	A single image deep learning approach to restoration of corrupted remote sensing products. CoRR Anna Petrovskaia, Raghavendra B. Jana, Ivan V. Oseledets
2020	J	`jnl`	Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. SIAM J. Math. Data Sci. Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang
2020	J	`jnl`	Adversarial Turing Patterns from Cellular Automata. CoRR Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets
2020	J	`jnl`	Bayesian aggregation improves traditional single image crop classification approaches. CoRR Ivan Matvienko, Mikhail Gasanov, Anna Petrovskaia, Raghavendra Belur Jana, Maria Pukalchik, Ivan V. Oseledets
2020	J	`jnl`	Black-box learning of multigrid parameters. J. Comput. Appl. Math. Alexandr Katrutsa, Talgat Daulbaev, Ivan V. Oseledets
2020	J	`jnl`	Deep Representation Learning for Dynamical Systems Modeling. CoRR Anna Shalova, Ivan V. Oseledets
2020	J	`jnl`	FREDE: Linear-Space Anytime Graph Embeddings. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2020	J	`jnl`	Follow the bisector: a simple method for multi-objective optimization. CoRR Alexandr Katrutsa, Daniil Merkulov, Nurislam Tursynbek, Ivan V. Oseledets
2020	J	`jnl`	Geometry-Inspired Top-k Adversarial Perturbations. CoRR Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2020	A*	`conf`	Hyperbolic Image Embeddings. CVPR Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky
2020	J	`jnl`	Interpolated Adjoint Method for Neural ODEs. CoRR Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets
2020	A*	`conf`	Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs. NeurIPS Talgat Daulbaev, Alexandr Katrutsa, Larisa Markeeva, Julia Gusak, Andrzej Cichocki, Ivan V. Oseledets
2020	A	`conf`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. RecSys Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	J	`jnl`	Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. CoRR Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin
2020	J	`jnl`	Quantized tensor FEM for multiscale problems: diffusion problems in two and three dimensions. CoRR Vladimir A. Kazeev, Ivan V. Oseledets, Maksim Rakhuba, Christoph Schwab
2020	J	`jnl`	Randomized Algorithms for Computation of Tucker decomposition and Higher Order SVD (HOSVD). CoRR Salman Ahmadi-Asl, Andrzej Cichocki, Anh Huy Phan, Ivan V. Oseledets, Stanislav Abukhovich, Toshihisa Tanaka
2020	J	`jnl`	Robustness Threats of Differential Privacy. CoRR Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets
2020	—	`conf`	Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. ICCS (7) Mikhail Gasanov, Anna Petrovskaia, Artyom Nikitin, Sergey A. Matveev, Polina Tregubova, Maria Pukalchik, Ivan V. Oseledets
2020	J	`jnl`	Simple heuristics for efficient parallel tensor contraction and quantum circuit simulation. CoRR Roman Schutski, Dmitry Kolmakov, Taras Khakhulin, Ivan V. Oseledets
2020	J	`jnl`	Simple non-extensive sparsification of the hierarchical matrices. Adv. Comput. Math. Daria A. Sushnikova, Ivan V. Oseledets
2020	—	`conf`	Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. ECCV (29) Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki
2020	J	`jnl`	Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network. CoRR Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavský, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki
2020	J	`jnl`	Stochastic gradient algorithms from ODE splitting perspective. CoRR Daniil Merkulov, Ivan V. Oseledets
2020	A	`conf`	TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition. IROS Alexey I. Boyko, Mikhail P. Matrosov, Ivan V. Oseledets, Dzmitry Tsetserukou, Gonzalo Ferrer
2020	J	`jnl`	Tensor Completion via Gaussian Process-Based Initialization. SIAM J. Sci. Comput. Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev
2020	J	`jnl`	Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. IEEE Trans. Neural Networks Learn. Syst. Anh-Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Giuseppe Giovanni Calvi, Salman Ahmadi-Asl, Danilo P. Mandic
2020	J	`jnl`	Tensor Train Decomposition on TensorFlow (T3F). J. Mach. Learn. Res. Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets
2020	—	`conf`	Tensorized Embedding Layers. EMNLP (Findings) Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan V. Oseledets
2020	J	`jnl`	Tensorized Transformer for Dynamical Systems Modeling. CoRR Anna Shalova, Ivan V. Oseledets
2020	A*	`conf`	The Shape of Data: Intrinsic Distance for Data Distributions. ICLR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2020	J	`jnl`	Towards Understanding Normalization in Neural ODEs. CoRR Julia Gusak, Larisa Markeeva, Talgat Daulbaev, Alexandr Katrutsa, Andrzej Cichocki, Ivan V. Oseledets
2020	J	`jnl`	Using Reinforcement Learning in the Algorithmic Trading Problem. CoRR Evgeny Ponomarev, Ivan V. Oseledets, Andrzej Cichocki
2019	J	`jnl`	Active Subspace of Neural Networks: Structural Analysis and Universal Attacks. CoRR Chunfeng Cui, Kaiqi Zhang, Talgat Daulbaev, Julia Gusak, Ivan V. Oseledets, Zheng Zhang
2019	J	`jnl`	An adaptive algorithm for quantum circuit simulation. CoRR Roman Schutski, Danil Lykov, Ivan V. Oseledets
2019	J	`jnl`	Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain. Comput. Methods Appl. Math. Ekaterina A. Muravleva, Ivan V. Oseledets
2019	—	`conf`	Automated Multi-Stage Compression of Neural Networks. ICCV Workshops Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Philip Blagoveschensky, Andrzej Cichocki, Ivan V. Oseledets
2019	J	`jnl`	Deep Neural Networks Predicting Oil Movement in a Development Unit. CoRR Pavel Temirchev, Maxim Simonov, Ruslan Kostoev, Evgeny Burnaev, Ivan V. Oseledets, Alexey Akhmetov, Andrey Margarit, Alexander Sitnikov, Dmitry A. Koroteev
2019	J	`jnl`	Empirical study of extreme overfitting points of neural networks. CoRR Daniil Merkulov, Ivan V. Oseledets
2019	—	`conf`	Generalized Tensor Models for Recurrent Neural Networks. ICLR (Poster) Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
2019	J	`jnl`	Generalized Tensor Models for Recurrent Neural Networks. CoRR Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets
2019	J	`jnl`	Graph Convolutional Policy for Solving Tree Decomposition via Reinforcement Learning Heuristics. CoRR Taras Khakhulin, Roman Schutski, Ivan V. Oseledets
2019	J	`jnl`	Growing axons: greedy learning of neural networks with application to function approximation. CoRR Daria Fokina, Ivan V. Oseledets
2019	A	`conf`	HybridSVD: when collaborative information is not enough. RecSys Evgeny Frolov, Ivan V. Oseledets
2019	J	`jnl`	Hyperbolic Image Embeddings. CoRR Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky
2019	A*	`conf`	IceVisionSet: lossless video dataset collected on Russian winter roads with traffic sign annotations. ICRA Artem L. Pavlov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou
2019	J	`jnl`	Intrinsic Multi-scale Evaluation of Generative Models. CoRR Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019	J	`jnl`	Low-rank Riemannian eigensolver for high-dimensional Hamiltonians. J. Comput. Phys. Maxim V. Rakhuba, Alexander Novikov, Ivan V. Oseledets
2019	J	`jnl`	Microstructure synthesis using style-based generative adversarial network. CoRR Daria Fokina, Ekaterina A. Muravleva, George V. Ovchinnikov, Ivan V. Oseledets
2019	J	`jnl`	One time is not enough: iterative tensor decomposition for neural network compression. CoRR Julia Gusak, Maksym Kholyavchenko, Evgeny Ponomarev, Larisa Markeeva, Ivan V. Oseledets, Andrzej Cichocki
2019	A*	`conf`	PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. ICML Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel
2019	J	`jnl`	Practical shift choice in the shift-and-invert Krylov subspace evaluations of the matrix exponential. CoRR Alexandr Katrutsa, Mike A. Botchev, Ivan V. Oseledets
2019	J	`jnl`	Preconditioning Kaczmarz method by sketching. CoRR Alexandr Katrutsa, Ivan V. Oseledets
2019	J	`jnl`	Predicting dynamical system evolution with residual neural networks. CoRR Artem V. Chashchin, Mikhail A. Botchev, Ivan V. Oseledets, Grigory V. Ovchinnikov
2019	J	`jnl`	Recognition of Russian traffic signs in winter conditions. Solutions of the "Ice Vision" competition winners. CoRR Artem L. Pavlov, Azat Davletshin, Alexey Kharlamov, Maksim S. Koriukin, Artem Vasenin, Pavel Solovev, Pavel Ostyakov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou
2019	J	`jnl`	Reduced-Order Modeling of Deep Neural Networks. CoRR Talgat Daulbaev, Julia Gusak, Evgeny Ponomarev, Andrzej Cichocki, Ivan V. Oseledets
2019	J	`jnl`	Tensor Completion via Gaussian Process Based Initialization. CoRR Yermek Kapushev, Ivan V. Oseledets, Evgeny Burnaev
2019	J	`jnl`	Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM). Comput. Methods Appl. Math. Maxim A. Kuznetsov, Ivan V. Oseledets
2019	J	`jnl`	Tensorized Embedding Layers for Efficient Model Compression. CoRR Valentin Khrulkov, Oleksii Hrinchuk, Leyla Mirvakhabova, Ivan V. Oseledets
2019	J	`jnl`	Universality Theorems for Generative Models. CoRR Valentin Khrulkov, Ivan V. Oseledets
2018	J	`jnl`	"Compress and Eliminate" Solver for Symmetric Positive Definite Sparse Matrices. SIAM J. Sci. Comput. Daria A. Sushnikova, Ivan V. Oseledets
2018	A*	`conf`	AA-ICP: Iterative Closest Point with Anderson Acceleration. ICRA Artem L. Pavlov, Grigory V. Ovchinnikov, Dmitry Yu. Derbyshev, Dzmitry Tsetserukou, Ivan V. Oseledets
2018	J	`jnl`	Adversarial point set registration. CoRR Sergei Divakov, Ivan V. Oseledets
2018	J	`jnl`	Alternating Least Squares as Moving Subspace Correction. SIAM J. Numer. Anal. Ivan V. Oseledets, Maxim V. Rakhuba, André Uschmajew
2018	A*	`conf`	Art of Singular Vectors and Universal Adversarial Perturbations. CVPR Valentin Khrulkov, Ivan V. Oseledets
2018	J	`jnl`	Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants. CoRR Pavel Kharyuk, Dmitry Nazarenko, Ivan V. Oseledets
2018	J	`jnl`	Convergence analysis of projected fixed-point iteration on a low-rank matrix manifold. Numer. Linear Algebra Appl. D. A. Kolesnikov, Ivan V. Oseledets
2018	J	`jnl`	Desingularization of Bounded-Rank Matrix Sets. SIAM J. Matrix Anal. Appl. Valentin Khrulkov, Ivan V. Oseledets
2018	—	`conf`	Expressive power of recurrent neural networks. ICLR (Poster) Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets
2018	A*	`conf`	Geometry Score: A Method For Comparing Generative Adversarial Networks. ICML Valentin Khrulkov, Ivan V. Oseledets
2018	J	`jnl`	Geometry Score: A Method For Comparing Generative Adversarial Networks. CoRR Valentin Khrulkov, Ivan V. Oseledets
2018	J	`jnl`	Gradient Descent-based D-optimal Design for the Least-Squares Polynomial Approximation. CoRR Vitaly P. Zankin, Gleb V. Ryzhakov, Ivan V. Oseledets
2018	J	`jnl`	HybridSVD: When Collaborative Information is Not Enough. CoRR Evgeny Frolov, Ivan V. Oseledets
2018	J	`jnl`	Jacobi-Davidson Method on Low-Rank Matrix Manifolds. SIAM J. Sci. Comput. M. V. Rakhuba, Ivan V. Oseledets
2018	—	`ch.`	Matrix Factorization for Collaborative Recommendations. Collaborative Recommendations Evgeny Frolov, Ivan V. Oseledets
2018	J	`jnl`	Modelling hidden structure of signals in group data analysis with modified (Lr, 1) and block-term decompositions. CoRR Pavel Kharyuk, Ivan V. Oseledets
2018	J	`jnl`	PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach. CoRR Tsui-Wei Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Ivan V. Oseledets, Luca Daniel
2018	J	`jnl`	Pervasive Agriculture: IoT-Enabled Greenhouse for Plant Growth Control. IEEE Pervasive Comput. Andrey Somov, Dmitrii G. Shadrin, Ilia Fastovets, Artyom Nikitin, Sergey A. Matveev, Ivan V. Oseledets, Oleksii Hrinchuk
2018	A*	`conf`	Quadrature-based features for kernel approximation. NeurIPS Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2018	J	`jnl`	Quadrature-based features for kernel approximation. CoRR Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2018	J	`jnl`	Revealing the Unobserved by Linking Collaborative Behavior and Side Knowledge. CoRR Evgeny Frolov, Ivan V. Oseledets
2018	J	`jnl`	Tensor Networks for Latent Variable Analysis: Higher Order Canonical Polyadic Decomposition. CoRR Anh Huy Phan, Andrzej Cichocki, Ivan V. Oseledets, Salman Ahmadi-Asl, Giuseppe Giovanni Calvi, Danilo P. Mandic
2018	J	`jnl`	Tensor Train decomposition on TensorFlow (T3F). CoRR Alexander Novikov, Pavel Izmailov, Valentin Khrulkov, Michael Figurnov, Ivan V. Oseledets
2017	J	`jnl`	AA-ICP: Iterative Closest Point with Anderson Acceleration. CoRR Artem L. Pavlov, Grigory V. Ovchinnikov, Dmitry Yu. Derbyshev, Dzmitry Tsetserukou, Ivan V. Oseledets
2017	J	`jnl`	Art of singular vectors and universal adversarial perturbations. CoRR Valentin Khrulkov, Ivan V. Oseledets
2017	—	`conf`	Exponential Machines. ICLR (Workshop) Alexander Novikov, Mikhail Trofimov, Ivan V. Oseledets
2017	J	`jnl`	Expressive power of recurrent neural networks. CoRR Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets
2017	J	`jnl`	Fast, memory-efficient low-rank approximation of SimRank. J. Complex Networks Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa
2017	J	`jnl`	Neural networks for topology optimization. CoRR Ivan Sosnovik, Ivan V. Oseledets
2017	J	`jnl`	QTT-finite-element approximation for multiscale problems I: model problems in one dimension. Adv. Comput. Math. Vladimir A. Kazeev, Ivan V. Oseledets, Maksim Rakhuba, Christoph Schwab
2017	—	`conf`	Riemannian Optimization for Skip-Gram Negative Sampling. ACL (1) Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets
2017	J	`jnl`	Riemannian Optimization for Skip-Gram Negative Sampling. CoRR Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets
2017	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives. CoRR Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic
2017	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 2 Applications and Future Perspectives. Found. Trends Mach. Learn. Andrzej Cichocki, Anh Huy Phan, Qibin Zhao, Namgil Lee, Ivan V. Oseledets, Masashi Sugiyama, Danilo P. Mandic
2017	J	`jnl`	Tensor methods and recommender systems. WIREs Data Mining Knowl. Discov. Evgeny Frolov, Ivan V. Oseledets
2017	J	`jnl`	Time- and memory-efficient representation of complex mesoscale potentials. J. Comput. Phys. Grigoriy M. Drozdov, Igor A. Ostanin, Ivan V. Oseledets
2017	J	`jnl`	Vico-Greengard-Ferrando quadratures in the tensor solver for integral equations. CoRR Valentin Khrulkov, M. V. Rakhuba, Ivan V. Oseledets
2016	J	`jnl`	"Compress and eliminate" solver for symmetric positive definite sparse matrices. CoRR Daria A. Sushnikova, Ivan V. Oseledets
2016	J	`jnl`	A low-rank approach to the computation of path integrals. J. Comput. Phys. Mikhail S. Litsarev, Ivan V. Oseledets
2016	—	`conf`	A new approach for sparse Bayesian channel estimation in SCMA uplink systems. WCSP Kirill Struminsky, Stanislav Kruglik, Dmitry P. Vetrov, Ivan V. Oseledets
2016	A*	`conf`	Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. ICDM Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets
2016	J	`jnl`	Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. CoRR Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets
2016	A	`conf`	Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. RecSys Evgeny Frolov, Ivan V. Oseledets
2016	J	`jnl`	Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. CoRR Evgeny Frolov, Ivan V. Oseledets
2016	J	`jnl`	Grid-based electronic structure calculations: The tensor decomposition approach. J. Comput. Phys. M. V. Rakhuba, Ivan V. Oseledets
2016	J	`jnl`	Iterative representing set selection for nested cross approximation. Numer. Linear Algebra Appl. A. Yu. Mikhalev, Ivan V. Oseledets
2016	J	`jnl`	Low-Rank Tensor Networks for Dimensionality Reduction and Large-Scale Optimization Problems: Perspectives and Challenges PART 1. CoRR Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic
2016	J	`jnl`	Tensor Methods and Recommender Systems. CoRR Evgeny Frolov, Ivan V. Oseledets
2016	J	`jnl`	Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions. Found. Trends Mach. Learn. Andrzej Cichocki, Namgil Lee, Ivan V. Oseledets, Anh Huy Phan, Qibin Zhao, Danilo P. Mandic
2016	J	`jnl`	Tensor Train polynomial models via Riemannian optimization. CoRR Alexander Novikov, Mikhail Trofimov, Ivan V. Oseledets
2015	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2015	J	`jnl`	Fast Multidimensional Convolution in Low-Rank Tensor Formats via Cross Approximation. SIAM J. Sci. Comput. M. V. Rakhuba, Ivan V. Oseledets
2015	J	`jnl`	Fast low-rank approximations of multidimensional integrals in ion-atomic collisions modelling. Numer. Linear Algebra Appl. Mikhail S. Litsarev, Ivan V. Oseledets
2015	J	`jnl`	From Low-Rank Approximation to a Rational Krylov Subspace Method for the Lyapunov Equation. SIAM J. Matrix Anal. Appl. D. A. Kolesnikov, Ivan V. Oseledets
2015	J	`jnl`	Linear complexity SimRank computation based on the iterative diagonal estimation. CoRR Ivan V. Oseledets, G. V. Ovchinnikov, Alexandr M. Katrutsa
2015	J	`jnl`	Low-rank retractions: a survey and new results. Comput. Optim. Appl. Pierre-Antoine Absil, Ivan V. Oseledets
2015	J	`jnl`	Rectangular maximum-volume submatrices and their applications. CoRR A. Yu. Mikhalev, Ivan V. Oseledets
2015	—	`conf`	Speeding-up Convolutional Neural Networks Using Fine-tuned CP-Decomposition. ICLR (Poster) Vadim Lebedev, Yaroslav Ganin, Maksim Rakhuba, Ivan V. Oseledets, Victor S. Lempitsky
2015	J	`jnl`	Tensor SimRank for Heterogeneous Information Networks. CoRR Ben Usman, Ivan V. Oseledets
2015	J	`jnl`	Time Integration of Tensor Trains. SIAM J. Numer. Anal. Christian Lubich, Ivan V. Oseledets, Bart Vandereycken
2014	J	`jnl`	A computationally efficient technique for the solution of multi-dimensional PBMs of granulation via tensor decomposition. Comput. Chem. Eng. Anwesha Chaudhury, Ivan V. Oseledets, Rohit Ramachandran
2014	J	`jnl`	Algebraic reputation model RepRank and its application to spambot detection. CoRR G. V. Ovchinnikov, D. A. Kolesnikov, Ivan V. Oseledets
2014	J	`jnl`	Computation of extreme eigenvalues in higher dimensions using block tensor train format. Comput. Phys. Commun. Sergey V. Dolgov, Boris N. Khoromskij, Ivan V. Oseledets, Dmitry V. Savostyanov
2014	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2014	J	`jnl`	Fast, memory efficient low-rank approximation of SimRank. CoRR Ivan V. Oseledets, G. V. Ovchinnikov
2014	J	`jnl`	Iterative across-time solution of linear differential equations: Krylov subspace versus waveform relaxation. Comput. Math. Appl. Mike A. Botchev, Ivan V. Oseledets, Eugene E. Tyrtyshnikov
2014	J	`jnl`	The DEPOSIT computer code based on the low rank approximations. Comput. Phys. Commun. Mikhail S. Litsarev, Ivan V. Oseledets
2012	J	`jnl`	Fast Solution of Parabolic Problems in the Tensor Train/Quantized Tensor Train Format with Initial Application to the Fokker-Planck Equation. SIAM J. Sci. Comput. Sergey V. Dolgov, Boris N. Khoromskij, Ivan V. Oseledets
2012	J	`jnl`	Solution of Linear Systems and Matrix Inversion in the TT-Format. SIAM J. Sci. Comput. Ivan V. Oseledets, Sergey V. Dolgov
2012	J	`jnl`	Wedderburn Rank Reduction and Krylov Subspace Method for Tensor Approximation. Part 1: Tucker Case. SIAM J. Sci. Comput. Sergei A. Goreinov, Ivan V. Oseledets, Dmitry V. Savostyanov
2011	J	`jnl`	Algebraic Wavelet Transform via Quantics Tensor Train Decomposition. SIAM J. Sci. Comput. Ivan V. Oseledets, Eugene E. Tyrtyshnikov
2011	J	`jnl`	DMRG Approach to Fast Linear Algebra in the TT-Format. Comput. Methods Appl. Math. Ivan V. Oseledets
2011	—	`conf`	Fast adaptive interpolation of multi-dimensional arrays in tensor train format. nDS Dmitry V. Savostyanov, Ivan V. Oseledets
2011	J	`jnl`	Improved n-Term Karatsuba-Like Formulas in GF(2). IEEE Trans. Computers Ivan V. Oseledets
2011	—	`conf`	Tensor train decomposition for low-parametric representation of high-dimensional arrays and functions: Review of recent results. nDS Ivan V. Oseledets
2011	J	`jnl`	Tensor-Train Decomposition. SIAM J. Sci. Comput. Ivan V. Oseledets
2011	J	`jnl`	Tensor-Train Ranks for Matrices and Their Inverses. Comput. Methods Appl. Math. Ivan V. Oseledets, Eugene E. Tyrtyshnikov, Nickolai L. Zamarashkin
2010	J	`jnl`	Approximation of 2 SIAM J. Matrix Anal. Appl. Ivan V. Oseledets
2010	J	`jnl`	Cross approximation in tensor electron density computations. Numer. Linear Algebra Appl. Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov
2010	J	`jnl`	Quantics-TT Collocation Approximation of Parameter-Dependent and Stochastic Elliptic PDEs. Comput. Methods Appl. Math. Boris N. Khoromskij, Ivan V. Oseledets
2010	J	`jnl`	Wedderburn rank reduction and Krylov subspace method for tensor approximation. Part 1: Tucker case CoRR Sergei A. Goreinov, Ivan V. Oseledets, Dmitry V. Savostyanov
2009	J	`jnl`	Breaking the Curse of Dimensionality, Or How to Use SVD in Many Dimensions. SIAM J. Sci. Comput. Ivan V. Oseledets, Eugene E. Tyrtyshnikov
2009	J	`jnl`	Fast Simultaneous Orthogonal Reduction to Triangular Matrices. SIAM J. Matrix Anal. Appl. Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov
2009	J	`jnl`	Linear algebra for tensor problems. Computing Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov
2008	J	`jnl`	Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time. SIAM J. Matrix Anal. Appl. Ivan V. Oseledets, Dmitry V. Savostyanov, Eugene E. Tyrtyshnikov