Ivan Oseledets

48 papers · 2017–2026 · 16 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (15) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (16) 🤝 Dynamic Duo (11) 👑 Triple Crown 🏆 Grand Slam 🗃️ Keyword Collector (203) ⚡ Prolific Year (6) 🚀 Conference Pioneer 💎 Century Club (45) 🔥 Unstoppable (10) 📈 Trend Setter

Conferences

ICLR (6) ICML (6) NIPS (6) ACL (5) AAAI (4) EMNLP (4) CVPR (3) EACL (3) IJCAI (3) WACV (2) ECCV (1) ICCV (1) JMLR (1) MICCAI (1) NAACL (1) UAI (1)

Top co-authors

Valentin Khrulkov (11) Andrey Kuznetsov (4) Oleg Rogov (4) Marina Munkhoeva (4) Leyla Mirvakhabova (4) Anton Razzhigaev (4) Mikhail Pautov (4) Elena Tutubalina (4) Julia Gusak (4) Nurislam Tursynbek (4)

Research topics

Keywords

large language model (6) representation learning (6) generative adversarial network (3) parameter efficient (3) tensor train (3) adversarial robustness (3) universal adversarial perturbation (3) transformer architecture (3) parameter-efficient fine-tuning (2) riemannian optimization (2) randomized smoothing (2) partial differential equation (2) adversarial perturbation (2) metric learning (2) data augmentation (2) tensor decomposition (2) embedding space (2) self-supervised learning (2) model compression (2) few-shot learning (2)

Papers

Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer EACL 2026

Feature Drift: How Fine-Tuning Repurposes Representations in LLMs EACL 2026

MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding WACV 2026

I Have Covered All the Bases Here: Interpreting Reasoning Features in Large Language Models via Sparse Autoencoders AAAI 2026

AI Diagnostic Assistant (AIDA): A Predictive Model for Diagnoses from Health Records in Clinical Decision Support Systems IJCAI 2025

Associative memory and dead neurons ICLR 2025

Certification of Speaker Recognition Models to Additive Perturbations AAAI 2025

Run LoRA Run: Faster and Lighter LoRA Implementations ACL 2025

CLEAR: Character Unlearning in Textual and Visual Modalities ACL 2025

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers NAACL 2025

Exploring the Hidden Capacity of LLMs for One-Step Text Generation EMNLP 2025

CLARITY: Clinical Assistant for Routing, Inference, and Triage EMNLP 2025

Anatomical Positional Embeddings MICCAI 2024

Probabilistically Robust Watermarking of Neural Networks IJCAI 2024

The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models EACL 2024

Quantization of Large Language Models with an Overdetermined Basis UAI 2024

Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving ICML 2024

SparseGrad: A Selective Method for Efficient Fine-tuning of MLP Layers EMNLP 2024

Your Transformer is Secretly Linear ACL 2024

Understanding DDPM Latent Codes Through Optimal Transport ICLR 2023

Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning NIPS 2023

Constructive TT-representation of the tensors given as index interaction functions with applications ICLR 2023

General Covariance Data Augmentation for Neural PDE Solvers ICML 2023

PROTES: Probabilistic Optimization with Tensor Sampling NIPS 2023

Few-bit Backward: Quantized Gradients of Activation Functions for Memory Footprint Reduction ICML 2023

Layerwise universal adversarial attack on NLP models ACL 2023

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning CVPR 2022

TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NIPS 2022

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks AAAI 2022

Geometry-Inspired Top-K Adversarial Perturbations WACV 2022

Smoothed Embeddings for Certified Few-Shot Learning NIPS 2022

Survey on Efficient Training of Large Neural Networks IJCAI 2022

Adversarial Turing Patterns from Cellular Automata AAAI 2021

Latent Transformations via NeuralODEs for GAN-Based Image Editing ICCV 2021

Functional Space Analysis of Local GAN Convergence ICML 2021

Interpolation Technique to Speed Up Gradients Propagation in Neural ODEs NIPS 2020

The Shape of Data: Intrinsic Distance for Data Distributions ICLR 2020

Tensor Train Decomposition on TensorFlow (T3F) JMLR 2020

Tensorized Embedding Layers EMNLP 2020

Stable Low-rank Tensor Decomposition for Compression of Convolutional Neural Network ECCV 2020

Hyperbolic Image Embeddings CVPR 2020

PROVEN: Verifying Robustness of Neural Networks with a Probabilistic Approach ICML 2019

Generalized Tensor Models for Recurrent Neural Networks ICLR 2019

Geometry Score: A Method For Comparing Generative Adversarial Networks ICML 2018

Expressive power of recurrent neural networks ICLR 2018

Art of Singular Vectors and Universal Adversarial Perturbations CVPR 2018

Quadrature-based features for kernel approximation NIPS 2018

Riemannian Optimization for Skip-Gram Negative Sampling ACL 2017