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

When Spoof Detectors Travel: Evaluation Across 66 Languages in the Low-Resource Language Spoofing Corpus

Interspeech

Kirill Borodin, Vasiliy Kudryavtsev, Maxim Maslov, Mikhail Gorodnichev, Grach Mkrtchian

From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales

Interspeech

Ivan Viakhirev, Kirill Borodin, Grach Mkrtchian

Balalaika: Data-Centric, Prosody-Aware Annotation Pipeline for Russian Speech

Interspeech

Kirill Borodin, Nikita Vasiliev, Vasiliy Kudryavtsev, Maxim Maslov, Mikhail Gorodnichev, Grach Mkrtchian

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

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

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

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

Multimodal Evaluation of Russian-language Architectures

EACL

Artem Chervyakov, Ulyana Isaeva, Anton Emelyanov, Artem Safin, Maria Tikhonova, Alexander Kharitonov, Yulia Lyakh, Petr Surovtsev, Denis Shevelev, Vildan Saburov, Vasily Konovalov, Elisei Rykov, Ivan Sviridov, Amina Miftakhova, Ilseyar Alimova, Alexander Panchenko, Alexander Kapitanov, Alena Fenogenova

From Standard Transformers to Modern LLMs: Bringing Dialogue Models, RAG, and Agents to the Classroom

EACL

Maria Tikhonova, Viktoriia A. Chekalina, Artem Chervyakov, Alexey Zaytsev, Alexander Panchenko

DRAGOn: Designing RAG On Periodically Updated Corpus

EACL

Fedor Chernogorskii, Sergei Averkiev, Liliya Kudraleeva, Zaven Martirosian, Maria Tikhonova, Valentin Malykh, Alena Fenogenova

OffTrail: A Benchmark for Natural-Language Context in Recommendation beyond Interaction Histories

CIKM

Nikita Sukhorukov, Danil Gusak, Alisa Petrova, Alexey Kovalev, Aleksandr I. Panov, Evgeny Frolov

Towards Robust Speech Deepfake Detection via Human-Inspired Reasoning

Interspeech

Artem Dvirniak, Evgeny Kushnir, Dmitrii Tarasov, Artem Iudin, Oleg Kiriukhin, Mikhail Pautov, Dmitrii Korzh, Oleg Y Rogov

Don't Blind Your VLA: Aligning Visual Representations for OOD Generalization

AAMAS

Nikita Kachaev, Mikhail Kolosov, Daniil Zelezetsky, Alexey K. Kovalev, Aleksandr I. Panov

WeightLoRA: Keep Only Necessary Adapters

ACL

Andrey Veprikov, Vladimir Solodkin, Zyl Alexander, Andrey Savchenko, Aleksandr Beznosikov

SimplexLoRA: Dynamic Rank Updating via Alternating Minimization with Simplex Projection

EMNLP

Shalygin Igor, Grigorii Davydenko, Andrey Veprikov, Aleksey Antonov, Nikolay Bushkov, Stanislav Moiseev, Aleksandr Beznosikov

Methods for optimization problems with markovian stochasticity and non-euclidean geometry

AAAI

Vladimir Solodkin, Andrey Veprikov, Alexander Chernyavskiy, Aleksandr Beznosikov

Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration

CVPR

Danil Tokhchukov, Aysel Mirzoeva, Andrey Kuznetsov, Konstantin Sobolev

Scaling Recommender Transformers to One Billion Parameters

ACM KDD

Kirill Khrylchenko, Artem Matveev, Sergei Makeev, Vladimir Baikalov

Revisiting IPS-based Algorithms for Off-Policy Evaluation of Contextual Bandits

WWW

Daria Korovaitceva, Marina Sheshukova, Evgeny Frolov, Sergey Samsonov

From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera

PERCOM

Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy Vatolin, Anastasia Antsiferova

Matrix-Free Two-to-Infinity and One-to-Two Norms Estimation

AAAI

Askar Tsyganov, Evgeny Frolov, Sergey Samsonov, Maxim Rakhuba

Bradley-Terry Rankings for Recommender Systems Across Dataset Taxonomies

ACM KDD

Ekaterina Grishina, Stepan Kuznetsov, Askar Tsyganov, Ilya Ivanov, Daria Korovaitceva, Margarita Rusanova, Uliana Parkina, Alexander Derevyagin, Evgeny Frolov, Sergey Samsonov, Anton Lysenko

Rethinking the Role of Tensor Decompositions in Post-Training LLM Compression

EMNLP

Artur Zagitov, Alexander Miasnikov, Maxim Krutikov, Vladimir Aletov, Gleb Molodtsov, Nail Bashirov, Aleksandr Beznosikov

High-Probability Bounds for the Last Iterate of Clipped SGD

ICLR

Savelii Chezhegov, Daniela Angela Parletta, Andrea Paudice, Eduard Gorbunov

Pay Attention to Attention Distribution: A New Local Lipschitz Bound for Transformers

ECCV

Nikolay Yudin, Sergei Kudriashov, Alexander Gaponov, Maxim Rakhuba

Self-Guided Plan Extraction for Instruction-Following Tasks with Goal-Conditional Reinforcement Learning

ACL

Zoya Volovikova, Nikita Sorokin, Dmitriy Lukashevskiy, Aleksandr Panov, Alexey Skrynnik

Cross-Domain Sequential Recommendation with Representation-Level User Transfer

CIKM

Abdulaziz Samra, Nikita Sukhorukov, Alexey GrishanovSber, Alexey Vasilev, Evgeny Frolov

Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)

ICLR

Nikita Maksimovich Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Sergeevich Koshelev, Alexander Korotin

Tight Bounds for Schrödinger Potential Estimation in Unpaired Data Translation

ICLR

Nikita Puchkin, Denis Suchkov, Alexey Naumov, Denis Belomestny

Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM

UAI

Denis Belomestny, Alexey Naumov, Nikita Puchkin, Denis Suchkov

ELMUR: External Layer Memory with Update/Rewrite for Long-Horizon RL Problems

ICLR

Egor Cherepanov, Alexey K. Kovalev, Aleksandr I. Panov

InfoBridge: Mutual Information estimation via Bridge Matching

ICLR

Sergei Kholkin, Ivan Butakov, Evgeny Burnaev, Nikita Gushchin, Alexander Korotin

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

Cheap Talk, Real Stakes: Commitment and Exploitation in Human-LLM Strategic Interaction

NeurIPS

Artyom Kabanov, Mikhail Mozikov, Sergei Volchkov, Igor Gorobets, Daniil Shirshin, Alena Kriuchenkova, Bykov Nikita, Valeria Bodishtianu, Nikita Severin, Sergey Muravyov, Andrey Savchenko, Ilya Makarov

Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport

ICLR

Xavier Aramayo Carrasco, Grigoriy Ksenofontov, Aleksei Leonov, Iaroslav Sergeevich Koshelev, Alexander Korotin

Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem

NeurIPS

Xavier Aramayo Carrasco, Maksim Nekrashevich, Petr Mokrov, Evgeny Burnaev, Alexander Korotin

One-Step Residual Shifting Diffusion for Image Super-Resolution via Distillation

ICML

Daniil Selikhanovych, David Li, Aleksei Leonov, Nikita Gushchin, Sergei Kushneriuk, Alexander Filippov, Evgeny Burnaev, Iaroslav Koshelev, Alexander Korotin

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting

ICLR

Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Kornilov, Nikita Gushchin, Alexandra Suvorikova, Alexey Kroshnin, Evgeny Burnaev, Aleksandr Korotin

A Statistical Learning Perspective on Semi-Dual Adversarial Neural Optimal Transport Solvers

ICLR

Roman Tarasov, Petr Mokrov, Milena Gazdieva, Evgeny Burnaev, Alexander Korotin

Gaussian Approximation and Multiplier Bootstrap for Stochastic Gradient Descent

AISTATS

Marina Sheshukova  Sergey Samsonov  Denis Belomestny  Eric Moulines  Qi-Man Shao  Zhuo-Song Zhang  Alexey Naumov

Enriching Sequential Recommendation with Graph Laplacian Positional Embeddings

CIKM

Ekaterina Trushkova, Artur Gimranov, Anton Lysenko

LayerVerse: Finding the Sweet Spot for KV-Injection in Training-Free Image Editing

ECCV

Mikhail Zhirnov, Arsen Kuzhamuratov, Andrey Kuznetsov, Ivan Oseledets, Konstantin Sobolev

Overclocking Electrostatic Generative Models

ICML

Daniil Shlenskii, Alexander Korotin

Multiple Descent of Generalization Curve for Optimally Regularized Ridge Regression

NeurIPS

Maxim Bochkov, Fedor Noskov

Midpoint Generative Models

NeurIPS

Daniil Shlenskii, Nikita Gushchin, Lev Novitskiy, Dmitry V Dylov, Alexander Korotin

Unlocking the Duality between Flow and Field Matching

NeurIPS

Daniil Shlenskii, Alexander Varlamov, Nazar Buzun, Alexander Korotin

TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models

NeurIPS

Arseny Ivanov, Sergei Kholkin, Vladislav Gromadskii, Grigoriy Ksenofontov, Ivan Oseledets, Alexander Korotin

GeoPair: Geometry-Preserving Cross-Layer Factorization for Training-Free Transformer Compression

NeurIPS

Baher Mohammad, Ammar Ali, Stamatios Lefkimmiatis

Tensorion: A Tensor-Aware Generalization of the Muon Optimizer

NeurIPS

Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Sergei Kudriashov, Maxim Rakhuba

COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression

NeurIPS

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

GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation

ICLR

Pavel Strashnov, Andrey Shevtsov, Viacheslav Meshchaninov, Olga Kardymon, Dmitry Vetrov

Trust the Context, Not the Weights: Faithful Multi-Hop QA via Synthetic Mid-Training

EMNLP

Maksim Savkin, Mikhail Goncharov, Alexander Gambashidze, Alla Chepurova, Dmitrii Tarasov, Timur Ionov, Nikita Andriianov, Daria Pugacheva, Ivan Oseledets, Vasily Konovalov, Andrey V. Galichin

ROCKET: Rapid Optimization via Calibration-guided Knapsack Enhanced Truncation for Efficient Model Compression

NeurIPS

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

FreeFlow: A Bias-free Hierarchical Transformer for Optical Flow Estimation

ECCV

Vladislav Bargatin, Alexander Yakovenko, Khaled Abud, Dmitriy Vatolin

Dual-Camera Multi-Reference Smartphone Super-Resolution

SIGGRAPH ASIA

Alexander Yakovenko, Aleksei Denisov, Iaroslav Koshelev, Violetta Firyaridi, Aleksei Leonov, Xueyi Zou

On-Device Spectral Learning for EV Battery Capacity Estimation from Charging Telemetry

SenSys

Andrei Zakharov; Ilya Makarov

MemSARAD: Hybrid Spatial–Memory Modeling for Industrial Sensing Systems

SenSys

Alina Kozhevnikova; Andrei Zakharov; Ilya Makarov

Breath-Dx: A Time Series Classification Benchmark for Disease Screening with eNose

ICDM

Ivan Poddiakov, Ivan Kruzhilov, Galina Zubkova, Svetlana Erofeeva, Andrey Savchenko, Pavel Blinov

On approximation and estimation of Schrödinger potentials without the curse of dimensionality

NeurIPS

Konstantin Yakovlev, Nikita Puchkin, Artem Patarusau

Escaping the Curse of Dimensionality in One‑Step Flow-Based Generative Models

NeurIPS

Konstantin Yakovlev

Gradient Flow Through Diagram Expansions: Learning Regimes and Explicit Solutions

ICML

Dmitry Yarotsky, Eugene Golikov, Yaroslav Gusev

Gaussian approximation for two-timescale linear stochastic approximation

AAAI

Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov, Vladimir V Ulyanov, Sergey Samsonov

Plug-and-Play Attention Linearization for Pretrained Transformers

ECCV

Kenan Kassab, Alexey Kashevnik, Ammar Ali, Stamatios Lefkimmiatis

Realism VS Accuracy: Event Sequence Forecasting from a Generative Modeling Perspective

NeurIPS

Dmitry Osin, Egor Surkov, Petr Mokrov, Igor Udovichenko, Ivan Karpukhin, Evgeny Burnaev, Egor Shvetsov, Alexander Korotin

gfnx: Fast and Scalable Library for Generative Flow Networks in JAX

NeurIPS

Daniil Tiapkin, Artem Agarkov, Nikita Morozov, Ian Maksimov, Askar Tsyganov, Timofei Gritsaev, Sergey Samsonov

Stop the Sampler! Classifier-Based Adaptive Stopping for Sampling Kernels

NeurIPS

Kirill Korolev, Nikita Morozov, Stepan Pavlenko, Esmeralda S. Whitammer, Sergey Samsonov

Gaussian Approximation for Two-Timescale Linear Stochastic Approximation

AAAI

Bogdan Butyrin, Artemy Rubtsov, Alexey Naumov, Vladimir Ulyanov, Sergey Samsonov

Antibody Generation via Redistributed Latent Diffusion

NeurIPS

A. Shevtsov, V. Meshchaninov, P. Strashnov, D. Vetrov

Corner Gradient Descent

ICLR

Dmitry Yarotsky

Variational Entropic Optimal Transport

ICML

Roman Dyachenko, Nikita Gushchin, Kirill Sokolov, Petr Mokrov, Evgeny Burnaev, Alexander Korotin

Perseus: A Demo of Modular Personalization over Heterogeneous Event Sequences

RecSys

Andrei Babkin, Anna Nikiforova, Kiryl Liakhnovich, Maryia Kurdun, Oleg Lashinin, Marina Ananyeva

SCom DAG: Compact Representation of Spatial Data for Real-time Rendering

SIGGRAPH

Albert Garifullin, Nikolay Mayorov, Eduard Hauer, Alexey Voloboy, Vladimir Frolov

Little Brains, Big Feats: Exploring Compact Language Models

ECML PKDD

Dari Baturova, Elena Bruches, Ivan Chernov, Roman Derunets, Arsenii Fomin & Andrey Kostin

IDLM: Inverse-distilled Diffusion Language Models

ICML

David Li, Nikita Gushchin, Dmitry Abulkhanov, Eric Moulines, Ivan Oseledets, Maxim Panov, Alexander Korotin

CAMAR: Continuous Actions Multi-Agent Routing

AAAI

Artem Pshenitsyn, Aleksandr Panov, Alexey Skrynnik

CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based Shading

WACV

Mishan Aliev, Dmitry Baranchuk, Kirill Struminsky

Mitigating Popularity Bias in Sequential Recommendations with Sparse Prior-Regularized Objective

CIKM

Anton Pembek, Anton Klenitskiy, Alexander Savchenko, Alexey Vasilev

Softsign: Smooth Sign in Your Optimizer For Better Parameter Heterogeneity Handling

ICML

Dmitrii Feoktistov, Timofey Belinsky, Andrey Veprikov, Amir Zainullin, Aleksandr Beznosikov

Preference-Aligned Semantic IDs for Generative Recommendation

CIKM

Valentin Tsaruk, Danil Gusak, Rostislav Korst and Evgeny Frolov

SEAM: Spectral Embedding Alignment and Merging for Low-Resource TTS

EMNLP

Walaa Othman, Baher Mohammad, Stamatios Lefkimmiatis, Ammar Ali

FMMI: Flow Matching Mutual Information Estimation

NeurIPS

Ivan Butakov, Alexander Semenenko, Valeriia Kirova, Ivan Oseledets, Alexey Frolov

ToolHACE: A Dataset for Detecting Hallucinations in Tool-Based LLM Responses

EMNLP

Nikolay Ivanov, Sergey Pletenev, Elisei Rykov, Anatolii Frolov, Bogdan Monogov, Alexander Potekhin, Maria Marina, Daniil Moskovskiy, Viktor Moskvoretskii, Alexander Panchenko, Ilseyar Alimova

Multi-LCB: Extending LiveCodeBench to Multiple Programming Languages

ICLR

Maria Ivanova, Pavel Zadorozhny, Rodion Levichev, Ivan Petrov, Adamenko Pavel, Ivan Lopatin, Alexey Kutalev, Dmitrii Babaev

From Pixels to Reality: Physical-Digital Patch Attacks on Real-World Camera

PERCOM

Victoria Leonenkova, Ekaterina Shumitskaya, Dmitriy Vatolin, Anastasia Antsiferova

SparseDR: Differentiable Rendering of Sparse Signed Distance Fields

IJCAI

Alexey Budak, Albert Garifullin, Vladimir Frolov

Efficient One-to-many Domain Translation via Diffusive Entropic Optimal Transport

NeurIPS

David Vaneev, Ivan Shchekotov, Denis Rakitin, Dmitry Vetrov

Object-Centric Latent Action Learning

AAAI

Albina Klepach, Alexander Nikulin, Ilya Zisman, Denis Tarasov, Alexander Derevyagin, Andrei Polubarov, Nikita Lyubaykin, Igor Kiselev, Vladislav Kurenkov

GraphCraft: Skill-Centric Curation of Evolving GraphRAG Pipelines

CIKM

Ilia Karpov, Ivan Chepikov, Denis Losev, Alina Avanesyan, Maria Godunova, Dmitry Ilvovsky

Modeling LLM Reasoning Dynamics with Structural Representations

ACL

Ilia Karpov, Andrey Atamanyuk, Dmitry Ilvovsky, Aleksandr Anokhin, Alex Elizov, Dmitry Zagorulkin, Sergei Kuznetsov

CodeTD: Topology of Attention Detects Hallucinations in Code LLMs

EMNLP

Daria Voronkova, Ilya Trofimov, Anton Dmitriev, Eduard Tulchinskii, Evgeny Burnaev, Serguei Barannikov

Scikit-Rank: Scikit-learn-Compatible Neural Ranking Models for Tabular Recommender Systems

RecSys

Aleksandr Milogradskii, Ilya Veselov, Yaroslav Klyukin, Maryia Kurdun, Oleg Lashinin, Kiryl Liakhnovich

Scaling LLM-Enhanced Linear Autoencoders to Industrial-Size Catalogs

RecSys

Maxim Skurikhin, Kiryl Liakhnovich, Oleg Lashinin

Double Bounded Neural Ray Queries

IJCAI

Alexander Nikolaev, Nikolay Mozokhin, Roman Rodionov, Vladimir Frolov

Bug or Feature$^2$: Weight Drift, Activation Sparsity, and Spikes

NeurIPS

Egor Shvetsov, Aleksandr Serkov, Shokorov Viacheslav, Redko Dmitry, Vladislav Goloshchapov, Evgeny Burnaev

Learning Flexible Generalization in Video Quality Assessment by Bringing Device and Viewing Condition Distributions

ICML

Nikolay Safonov, Dmitriy Vatolin

Can-SAVE: Deploying Low-Cost and Population-Scale Cancer Screening via Survival Analysis Variables and EHR

KDD

Petr Philonenko, Vladimir Kokh, Pavel Blinov

GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver

ICLR

Aleksandr Oganov, Ilya Bykov, Eva Neudachina, Mishan Aliev, Alexander Tolmachev, Alexander Sidorov, Aleksandr Zuev, Andrey Okhotin, Denis Rakitin, Aibek Alanov

Scaling Graph Neural Networks for Friend Recommendation

CIKM

Maksim Utushkin, Andrei Ovsiannikov, Alexander D'yakonov