Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme

ICLR

Mikhail Persiianov, Jiawei Chen, Petr Mokrov, Alexander Tyurin, Evgeny Burnaev, Alexander Korotin

Inverse Entropic Optimal Transport Solves Semi-supervised Learning via Data Likelihood Maximization

ICML

Mikhail Persiianov, Arip Asadulaev, Nikita Andreev, Nikita Starodubcev, Dmitry Baranchuk, Anastasis Kratsios, Evgeny Burnaev, Alexander Korotin

PianoKontext: Expressive Performance Rendering from Deadpan Audio

ICML 2026 Workshop

Dmitrii Gavrilev

Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning

SIGIR

Artem Sakhno, Daniil Tomilov, Yuliana Shakhvalieva, Inessa Fedorova, Daria Ruzanova, Omar Zoloev, Andrey Savchenko, Maksim Makarenko

Unlocking the Potential of Weighting Methods in Federated Learning Through Communication Compression

ICLR

Valery Parfenov, Nail Bashirov, Daniil Medyakov, Dmitry Bylinkin, Aleksandr Beznosikov

Lightweight Optimal-Transport Harmonization on Edge Devices

AAAI

Maria Larchenko, Dmitry Guskov, Alexander Lobashev, Georgy Derevyanko

Beyond Lexical Similarity: A Benchmark for Evaluating Code Documentation Agents

ICML 2026 Workshop

Andrey Getmanov, Timofey Karyagin, Ulyanova Ekaterina Alekseevna, Adamenko Pavel, Ilya Sokolov, Pavel Zadorozhny, Rodion Levichev, Nikolay Nikitin, Dmitrii Babaev

LoRA meets Riemannion: Muon Optimizer for Parametrization-independent Low-Rank Adapters

ICLR

Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Denis Bobkov, Vera Soboleva, Aibek Alanov, Maxim Rakhuba

Dynamic Neural Potential Field: Online Trajectory Optimization in the Presence of Moving Obstacles

ICRA

Aleksei Staroverov, Muhammad Alhaddad, Aditya Narendra, Konstantin Mironov, Aleksandr Panov

From Visual to Multimodal: Systematic Ablation of Encoders and Fusion Strategies in Animal Identification

CVPR Workshop

Vasiliy Kudryavtsev; Kirill Borodin; German Berezin; Kirill Bubenchikov; Grach Mkrtchian; Alexander Ryzhkov

Improved Stochastic Optimization of LogSumExp

ICML

Egor Gladin, Alexey Kroshnin, Jia-Jie Zhu, Pavel Dvurechensky

Sensor-Aware Multi-Region Adversarial UNet for Downscaling Weather Fields

ACM/IEEE

Daniil Sukhorukov, Andrei Zakharov, Ilya Makarov

Progressive Cramming: Reliable Token Compression and What It Reveals

ICML

Dmitrii Tarasov, Timofei Lashukov, Elizaveta Goncharova, Andrey Kuznetsov

CADFS: A Big CAD Program Dataset and Framework for Computer-Aided Design with Large Language Models

CVPR

Vladislav Pyatov, Gleb Bobrovskikh, Saveliy Galochkin, Nikita Boldyrev, Oleg Voynov, Alexander Filippov, Gonzalo Ferrer, Peter Wonka, Evgeny Burnaev

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval

SIGIR

Vladimir Baikalov, Iskander Bagautdinov, Sergey Myravyov

Wikontic: A Tool for Building Knowledge Graphs from Text Aligned with the Wikidata Ontology

AAAI

Alla Chepurova, Aydar Bulatov, Mikhail Burtsev, Yuri Kuratov

Progressive Cramming: Reliable Token Compression and What It Reveals
ICML
Dmitrii Tarasov, Timofei Lashukov, Elizaveta Goncharova, Andrey Kuznetsov

Mitigating Collaborative Semantic ID Staleness in Generative Retrieval
 SIGIR
Vladimir Baikalov, Iskander Bagautdinov, Sergey Myravyov 

HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting

AAAI

Andrey Savchenko, Oleg Kachan

Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning

ACL

Anna Borisiuk, Andrey Savchenko, Alexander Panchenko, Elena Tutubalina

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 Oseledets

Rate My Web Design? Using LLMs to Predict Human Subjective Ratings of Generated Web UI Prototypes

ICSE

Maxim Bakaev, Julian Grigera

GENEB: Why Genomic Models Are Hard to Compare

ICML

Ledneva Daria, Nuridinov Mikhail, Kuznetsov Denis

LDARNet: DNA Adaptive Representation Network with Learnable Tokenization for Genomic Modeling

ICML

Daria Ledneva, Denis Kuznetsov

GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent

ICML

Yuri Kuratov, Matvey Kairov, Aydar Bulatov, Ivan Rodkin, Mikhail Burtsev

OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation

CVPR

Tatiana Zemskova, Aleksei Staroverov, Dmitry Yudin, Aleksandr Panov

Interpretable Expert-Informed Epidemic Forecasting via Hybrid Mechanistic and LLM-Based Modeling

ACM SIGKDD

Dinara Gindullina, Vasiliy Leonenko

Share Your Attention: Transformer Weight Sharing via Matrix-based Dictionary Learning

AAAI

Magauiya Zhussip,Dmitriy Shopkhoev, Ammar Ali, Stamatios Lefkimmiatis

BREPS: Bounding-Box Robustness Evaluation of Promptable Segmentation

AAAI

Andrey Moskalenko, Danil Kuznetsov, Irina Dudko, Anastasiia Iasakova, Nikita Boldyrev, Denis Shepelev, Andrei Spiridonov, Andrey Kuznetsov, Vlad Shakhuro

Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching

AAAI

Ivan Karpukhin, Andrey Savchenko

HT-Transformer: Event Sequences Classification by Accumulating Prefix Information with History Tokens

IJCAI

Ivan Karpukhin, Maksim Polesskii, Andrey Savchenko

T-ECD: A Large-Scale Cross-Domain E-Commerce Dataset for Industrial Recommender Systems

KDD

Kiryl Liakhnovich, Anna Nikiforova, Nikita Matveev, Maxim Skurikhin, Ilya Veselov, Marina Ananyeva

Speech-to-LATEX: New models and datasets for converting spoken equations and sentences

ICLR

Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Rogov, Ivan Oseledets

FactRot: Auditing Typed Fact Survival Under Iterative LLM Rewriting

EMNLP

Vladislav Kulikov, Mikhail Mozikov, Aleksei Stepin, Boris Tostokulakov, Artyom Kabanov, Nasonov Ivan, Nikita Glazkov, Ilya Makarov

CoSpaDi: Compressing LLMs via Calibration-Guided Sparse Dictionary Learning

EMNLP

Denis Makhov, Dmitriy Shopkhoev, Magauiya Zhussip, Ammar Ali, Stamatios Lefkimmiatis

Revisiting Autoregressive Models for Generative Image Classification

ECCV

Ilia Sudakov, Artem Babenko, Dmitry Baranchuk

Does VLA Even Know the Basics? Limitations in Commonsense and World Knowledge of VLA Models

EMNLP

Nikita Kachaev, Andrey Moskalenko, Matvey Skripkin, Nikita Kurlaev, Daria Pugacheva, Albina Burlova, Mikhail Kolosov, Denis Shepelev, Andrey Kuznetsov, Elena Tutubalina, Aleksandr Panov, Alexey Kovalev, Vlad Shakhuro

Revisiting Tree Search for LLMs: Gumbel and Sequential Halving for Budget-Scalable Reasoning

ICAPS

Leonid Ugadiarov, Yuri Kuratov, Aleksandr Panov, Alexey Skrynnik

OrthoFuse: Training-free Riemannian Fusion of Orthogonal Style-Concept Adapters for Diffusion Models

CVPR

Ali Aliev, Kamil Garifullin, Nikolay Yudin, Vera Soboleva, Alexander Molozhavenko, Ivan Oseledets, Aibek Alanov, Maxim Rakhuba

Interaction Field Matching: Overcoming Limitations of Electrostatic Models

ICLR

Stepan Manukhov, Alexander Kolesov, Vladimir V. Palyulin, Alexander Korotin