Ivan V. Oseledets
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
62
Venues
24
Active years
2016–2026
Best venue rank
A*
Where they publish
- A*ICLR7 papers
- A*ACL6 papers
- A*ICML6 papers
- ARecSys5 papers
- A*AAAI4 papers
- A*EMNLP4 papers
- AEACL3 papers
- A*IJCAI3 papers
- AMICCAI3 papers
- A*CVPR3 papers
- AWACV2 papers
- AUAI2 papers
- MulticonferenceICCS2 papers
- A*ICRA2 papers
- UnrankedSENSYS1 paper
- ANAACL1 paper
- ACIKM1 paper
- AECAI1 paper
- CPACLIC1 paper
- ABMVC1 paper
- A*ICCV1 paper
- A*ECCV1 paper
- AIROS1 paper
- A*ICDM1 paper
Papers
62 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders. | Andrey V. Galichin, Alexey Dontsov, Polina Druzhinina, Anton Razzhigaev, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets |
| 2026 | ACL | One Task Vector is not Enough: A Large-Scale Study for In-Context Learning. | Pavel Tikhonov, Ivan V. Oseledets, Elena Tutubalina |
| 2026 | EACL | Feature Drift: How Fine-Tuning Repurposes Representations in LLMs. | Andrey V. Galichin, Anton Korznikov, Alexey Dontsov, Oleg Rogov, Elena Tutubalina, Ivan V. Oseledets |
| 2026 | EACL | Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer. | Pavel Tikhonov, Ivan V. Oseledets, Elena Tutubalina |
| 2026 | WACV | MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding. | Pengyi Li, Irina Abdullaeva, Alexander Gambashidze, Andrey Kuznetsov, Ivan V. Oseledets |
| 2026 | SENSYS | Poster Abstract: Optical Transformers can Outperform Digital Models: A Preliminary Accuracy Study. | Artem V. Nikonorov, Vladimir Protsenko, Georgy Motz, Dmitry Kruglov, Daniil Soshnikov, Riccardo de Feo, Yury Koush, Ivan V. Oseledets, Roman V. Skidanov, Leonid Doskolovich |
| 2025 | AAAI | Certification of Speaker Recognition Models to Additive Perturbations. | Dmitrii Korzh, Elvir Karimov, Mikhail Pautov, Oleg Y. Rogov, Ivan V. Oseledets |
| 2025 | ACL | Run LoRA Run: Faster and Lighter LoRA Implementations. | Daria Cherniuk, Aleksandr Mikhalev, Ivan V. Oseledets |
| 2025 | ACL | CLEAR: Character Unlearning in Textual and Visual Modalities. | Alexey Dontsov, Dmitrii Korzh, Alexey Zhavoronkin, Boris Mikheev, Denis Bobkov, Aibek Alanov, Oleg Rogov, Ivan V. Oseledets, Elena Tutubalina |
| 2025 | EMNLP | Exploring the Hidden Capacity of LLMs for One-Step Text Generation. | Gleb Mezentsev, Ivan V. Oseledets |
| 2025 | EMNLP | CLARITY: Clinical Assistant for Routing, Inference, and Triage. | Vladimir Shaposhnikov, Alexandr Nesterov, Ilia Kopanichuk, Ivan Bakulin, Egor Zhelvakov, Ruslan Abramov, Ekaterina Tsapieva, Iaroslav Bespalov, Dmitry V. Dylov, Ivan V. Oseledets |
| 2025 | ICLR | Associative memory and dead neurons. | Vladimir Fanaskov, Ivan V. Oseledets |
| 2025 | IJCAI | AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems. | Dmitriy Umerenkov, Alexandr Nesterov, Vladimir Shaposhnikov, Ruslan Abramov, Nikolay Romanenko, Vladimir Kokh, Marina Kirina, Anton Abrosimov, Dmitry V. Dylov, Ivan V. Oseledets |
| 2025 | MICCAI | Random Direct Preference Optimization for Radiography Report Generation. | Valentin Samokhin, Boris Shirokikh, Mikhail Goncharov, Dmitriy Umerenkov, Maksim Bobrin, Ivan V. Oseledets, Dmitry V. Dylov, Mikhail Belyaev |
| 2025 | NAACL | LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers. | Anton Razzhigaev, Matvey Mikhalchuk, Temurbek Rahmatullaev, Elizaveta Goncharova, Polina Druzhinina, Ivan V. Oseledets, Andrey Kuznetsov |
| 2024 | ACL | Your Transformer is Secretly Linear. | Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Nikolai Gerasimenko, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov |
| 2024 | CIKM | RECE: Reduced Cross-Entropy Loss for Large-Catalogue Sequential Recommenders. | Danil Gusak, Gleb Mezentsev, Ivan V. Oseledets, Evgeny Frolov |
| 2024 | EACL | The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. | Anton Razzhigaev, Matvey Mikhalchuk, Elizaveta Goncharova, Ivan V. Oseledets, Denis Dimitrov, Andrey Kuznetsov |
| 2024 | ECAI | General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing. | Dmitrii Korzh, Mikhail Pautov, Olga Tsymboi, Ivan V. Oseledets |
| 2024 | EMNLP | SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers. | Viktoria Chekalina, Anna Rudenko, Gleb Mezentsev, Aleksandr Mikhalev, Alexander Panchenko, Ivan V. Oseledets |
| 2024 | ICML | Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving. | Alexander Rudikov, Vladimir Fanaskov, Ekaterina A. Muravleva, Yuri M. Laevsky, Ivan V. Oseledets |
| 2024 | IJCAI | Probabilistically Robust Watermarking of Neural Networks. | Mikhail Pautov, Nikita Bogdanov, Stanislav Pyatkin, Oleg Rogov, Ivan V. Oseledets |
| 2024 | MICCAI | Anatomical Positional Embeddings. | Mikhail Goncharov, Valentin Samokhin, Eugenia Soboleva, Roman Sokolov, Boris Shirokikh, Mikhail Belyaev, Anvar Kurmukov, Ivan V. Oseledets |
| 2024 | RecSys | Self-Attentive Sequential Recommendations with Hyperbolic Representations. | Evgeny Frolov, Tatyana Matveeva, Leyla Mirvakhabova, Ivan V. Oseledets |
| 2024 | RecSys | Scalable Cross-Entropy Loss for Sequential Recommendations with Large Item Catalogs. | Gleb Mezentsev, Danil Gusak, Ivan V. Oseledets, Evgeny Frolov |
| 2024 | UAI | Quantization of Large Language Models with an Overdetermined Basis. | Daniil Merkulov, Daria Cherniuk, Alexander Rudikov, Ivan V. Oseledets, Ekaterina A. Muravleva, Aleksandr Mikhalev, Boris Kashin |
| 2023 | ACL | Layerwise universal adversarial attack on NLP models. | Olga Tsymboi, Danil Malaev, Andrei Petrovskii, Ivan V. Oseledets |
| 2023 | ICLR | Understanding DDPM Latent Codes Through Optimal Transport. | Valentin Khrulkov, Gleb V. Ryzhakov, Andrei Chertkov, Ivan V. Oseledets |
| 2023 | ICLR | Constructive TT-representation of the tensors given as index interaction functions with applications. | Gleb V. Ryzhakov, Ivan V. Oseledets |
| 2023 | ICML | General Covariance Data Augmentation for Neural PDE Solvers. | Vladimir Fanaskov, Tianchi Yu, Alexander Rudikov, Ivan V. Oseledets |
| 2023 | ICML | Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction. | Georgii Sergeevich Novikov, Daniel Bershatsky, Julia Gusak, Alex Shonenkov, Denis Valerievich Dimitrov, Ivan V. Oseledets |
| 2023 | MICCAI | Feature-Based Pipeline for Improving Unsupervised Anomaly Segmentation on Medical Images. | Daria Frolova, Aleksandr Katrutsa, Ivan V. Oseledets |
| 2023 | PACLIC | Efficient GPT Model Pre-training using Tensor Train Matrix Representation. | Viktoria Chekalina, Georgiy Novikov, Julia Gusak, Alexander Panchenko, Ivan V. Oseledets |
| 2022 | AAAI | CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. | Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets |
| 2022 | BMVC | T4DT: Tensorizing Time for Learning Temporal 3D Visual Data. | Mikhail Usvyatsov, Rafael Ballester, Lina Bashaeva, Konrad Schindler, Gonzalo Ferrer, Ivan V. Oseledets |
| 2022 | CVPR | Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. | Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets |
| 2022 | IJCAI | Survey on Efficient Training of Large Neural Networks. | 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 | WACV | Geometry-Inspired Top-k Adversarial Perturbations. | Nurislam Tursynbek, Aleksandr Petiushko, Ivan V. Oseledets |
| 2021 | AAAI | Adversarial Turing Patterns from Cellular Automata. | Nurislam Tursynbek, Ilya Vilkoviskiy, Maria Sindeeva, Ivan V. Oseledets |
| 2021 | ICCS | A New Multi-objective Approach to Optimize Irrigation Using a Crop Simulation Model and Weather History. | Mikhail Gasanov, Daniil Merkulov, Artyom Nikitin, Sergey A. Matveev, Nikita Stasenko, Anna Petrovskaia, Mariia Pukalchik, Ivan V. Oseledets |
| 2021 | ICCV | Latent Transformations via NeuralODEs for GAN-based Image Editing. | Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko |
| 2021 | ICML | Functional Space Analysis of Local GAN Convergence. | Valentin Khrulkov, Artem Babenko, Ivan V. Oseledets |
| 2021 | UAI | Tensor-train density estimation. | Georgii S. Novikov, Maxim E. Panov, Ivan V. Oseledets |
| 2020 | CVPR | Hyperbolic Image Embeddings. | Valentin Khrulkov, Leyla Mirvakhabova, Evgeniya Ustinova, Ivan V. Oseledets, Victor S. Lempitsky |
| 2020 | ECCV | Stable Low-Rank Tensor Decomposition for Compression of Convolutional Neural Network. | Anh Huy Phan, Konstantin Sobolev, Konstantin Sozykin, Dmitry Ermilov, Julia Gusak, Petr Tichavsk, Valeriy Glukhov, Ivan V. Oseledets, Andrzej Cichocki |
| 2020 | EMNLP | Tensorized Embedding Layers. | Oleksii Hrinchuk, Valentin Khrulkov, Leyla Mirvakhabova, Elena Orlova, Ivan V. Oseledets |
| 2020 | ICCS | Sensitivity Analysis of Soil Parameters in Crop Model Supported with High-Throughput Computing. | Mikhail Gasanov, Anna Petrovskaia, Artyom Nikitin, Sergey A. Matveev, Polina Tregubova, Maria Pukalchik, Ivan V. Oseledets |
| 2020 | ICLR | The Shape of Data: Intrinsic Distance for Data Distributions. | Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Mller |
| 2020 | IROS | TT-TSDF: Memory-Efficient TSDF with Low-Rank Tensor Train Decomposition. | Alexey I. Boyko, Mikhail P. Matrosov, Ivan V. Oseledets, Dzmitry Tsetserukou, Gonzalo Ferrer |
| 2020 | RecSys | Performance of Hyperbolic Geometry Models on Top-N Recommendation Tasks. | Leyla Mirvakhabova, Evgeny Frolov, Valentin Khrulkov, Ivan V. Oseledets, Alexander Tuzhilin |
| 2019 | ICLR | Generalized Tensor Models for Recurrent Neural Networks. | Valentin Khrulkov, Oleksii Hrinchuk, Ivan V. Oseledets |
| 2019 | ICML | PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach. | Lily Weng, Pin-Yu Chen, Lam M. Nguyen, Mark S. Squillante, Akhilan Boopathy, Ivan V. Oseledets, Luca Daniel |
| 2019 | ICRA | IceVisionSet: lossless video dataset collected on Russian winter roads with traffic sign annotations. | Artem L. Pavlov, Pavel A. Karpyshev, George V. Ovchinnikov, Ivan V. Oseledets, Dzmitry Tsetserukou |
| 2019 | RecSys | HybridSVD: when collaborative information is not enough. | Evgeny Frolov, Ivan V. Oseledets |
| 2018 | CVPR | Art of Singular Vectors and Universal Adversarial Perturbations. | Valentin Khrulkov, Ivan V. Oseledets |
| 2018 | ICLR | Expressive power of recurrent neural networks. | Valentin Khrulkov, Alexander Novikov, Ivan V. Oseledets |
| 2018 | ICML | Geometry Score: A Method For Comparing Generative Adversarial Networks. | Valentin Khrulkov, Ivan V. Oseledets |
| 2018 | ICRA | AA-ICP: Iterative Closest Point with Anderson Acceleration. | Artem L. Pavlov, Grigory V. Ovchinnikov, Dmitry Yu. Derbyshev, Dzmitry Tsetserukou, Ivan V. Oseledets |
| 2017 | ACL | Riemannian Optimization for Skip-Gram Negative Sampling. | Alexander Fonarev, Oleksii Hrinchuk, Gleb Gusev, Pavel Serdyukov, Ivan V. Oseledets |
| 2017 | ICLR | Exponential Machines. | Alexander Novikov, Mikhail Trofimov, Ivan V. Oseledets |
| 2016 | ICDM | Efficient Rectangular Maximal-Volume Algorithm for Rating Elicitation in Collaborative Filtering. | Alexander Fonarev, Alexander Mikhalev, Pavel Serdyukov, Gleb Gusev, Ivan V. Oseledets |
| 2016 | RecSys | Fifty Shades of Ratings: How to Benefit from a Negative Feedback in Top-N Recommendations Tasks. | Evgeny Frolov, Ivan V. Oseledets |