Poster session

Hebbian Sparse Autoencoder

Nikita Kurdiukov, Anton Razzhigaev

Gaze into the Heart: A Multi-View Video Dataset for rPPG and Health Biomarkers Estimation

Konstantin Egorov, Stepan Botman, Pavel Blinov, Galina Zubkova, Anton Ivaschenko, Alexander Kolsanov, Andrey Savchenko

MADD: Multi-Agent Drug Discovery Orchestra

Gleb Vitalevich Solovev, Alina Borisovna Zhidkovskaya, Anastasia Orlova, Nina Gubina, Anastasia Vepreva, Rodion Golovinskii, Ilya Tonkii, Ivan Dubrovsky, Ivan Gurev, Dmitry Gilemkhanov, Denis Chistiakov, Timur A. Aliev, Ivan Poddiakov, Galina Zubkova, Ekaterina V. Skorb, Vladimir Vinogradov, Alexander Boukhanovsky, Nikolay Nikitin, Andrei Dmitrenko, Anna Kalyuzhnaya, Andrey Savchenko

Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization

Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin

Revisiting Non-Acyclic GFlowNets in Discrete Environments

Nikita Morozov , Ian Maksimov, Daniil Tiapkin, Sergey Samsonov

A machine learning approach that beats Rubik's cubes

Alexander Chervov, Kirill Khoruzhii, Nikita Bukhal, Jalal Naghiyev, Vladislav Zamkovoy, Ivan Koltsov, Lyudmila Cheldieva, Arsenii Sychev, Arsenii Lenin, Mark Obozov, Egor Urvanov, Alexey M. Romanov

Synthetic Proofs with Tool-Integrated Reasoning: Contrastive Alignment for LLM Mathematics with Lean

Mark Obozov, Michael Diskin, Aleksandr Beznosikov, Alexander Gasnikov, Serguei Barannikov

AutoIntent: AutoML for Text Classification

Ilya Alekseev, Roman Solomatin, Darina Rustamova, Denis Kuznetsov

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

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

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme

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

GLGENN: A Novel Parameter-Light Equivariant Neural Networks Architecture Based on Clifford Geometric Algebras

Ekaterina Filimoshina, Dmitry Shirokov

Steering LLM Reasoning Through Bias-Only Adaptation

Viacheslav Sinii, Alexey Gorbatovski, Artem Cherepanov, Boris Shaposhnikov, Nikita Balagansky, Daniil Gavrilov

Field Matching: An electrostatic paradigm to Generate and Transfer data

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

TabM: Advancing tabular deep learning with parameter-efficient ensembling

Yury Gorishniy, Akim Kotelnikov, Artem Babenko

CrafText Benchmark: Advancing Instruction Following in Complex Multimodal Open-Ended World

Zoya Volovikova, Gregory Gorbov, Petr Kuderov, Aleksandr Panov, Alexey Skrynnik

GraphLand: Evaluating Graph Machine Learning Models on Diverse Industrial Data

Gleb Bazhenov, Oleg Platonov, Liudmila Prokhorenkova

Decentralized Optimization with Coupled Constraints

Demyan Yarmoshik, Alexander Rogozin, Nikita Kiselev, Daniil Dorin, Alexander Gasnikov, Dmitry Kovalev

When Punctuation Matters: A Large-Scale Comparison of Prompt Robustness Methods for LLMs

Mikhail Seleznyov, Mikhail Chaichuk, Gleb Ershov, Alexander Panchenko, Elena Tutubalina, Oleg Somov

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting

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

RuSemCor: a Word Sense Disambiguation corpus for Russian

Dmitry Ilvovsky, Alik Kirillovich, Ilya Karpov, Maxim Kulaev, Natalia Loukachevitch

EBES: Easy Benchmarking for Event Sequences

Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny Burnaev

Will It Still Be True Tomorrow? Multilingual Evergreen Question Classification to Improve Trustworthy QA

Sergey Pletenev, Maria Marina, Nikolay Ivanov, Daria Galimzianova, Nikita Krayko, Mikhail Salnikov, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii

RusConText Benchmark: A Russian Language Evaluation Benchmark for Understanding Context

Andrey Chirkin, Svetlana Kuznetsova, Maria Volina, Anna Dengina

Hessian Geometry of Latent Space in Generative Models

Alexander Lobashev, Dmitry Guskov, Maria Larchenko, Mikhail Tamm

PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences

Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey Savchenko

Analyze Feature Flow to Enhance Interpretation and Steering in Language Models

Daniil Laptev, Nikita Balagansky, Yaroslav Aksenov, Daniil Gavrilov

An LLM-Powered Tool for Enhancing Scientific Open-Source Repositories

Nikolay Nikitin, Andrey Getmanov, Zakhar Popov, Ulyanova Ekaterina Alekseevna, Yaroslav Aksenkin, Ilya Sokolov, Alexander Boukhanovsky

Inverse Bridge Matching Distillation

Nikita Gushchin, David Li, Daniil Selikhanovych, Evgeny Burnaev, Dmitry Baranchuk, Alexander Korotin

Alchemist: Turning Public Text-to-Image Data into Generative Gold

Valerii Startsev, Alexander Ustyuzhanin, Alexey Kirillov, Dmitry Baranchuk, Sergey Kastryulin

Diffusion on Language Model Encodings for Protein Sequence Generation

Meshchaninov, V., Strashnov, P., Shevtsov, A., Nikolaev, F., Ivanisenko, N., Kardymon, O., and Vetrov, D.

Train One Sparse Autoencoder Across Multiple Sparsity Budgets to Preserve Interpretability and Accuracy

Nikita Balagansky, Yaroslav Aksenov, Daniil Laptev, Vadim Kurochkin, Gleb Gerasimov, Nikita Koryagin, Daniil Gavrilov

AutoJudge: Judge Decoding Without Manual Annotation

Roman Garipov, Fedor Velikonivtsev, Ivan Ermakov, Ruslan Svirschevski, Vage Egiazarian, Max Ryabinin

HL-EAI: A Multimodal Framework Enabling Emotional Reciprocity in Human–AI Strategic Decision-Making

Mikhail Mozikov, Daniil Orekhov, Nasonov Ivan, Konstantin Baltsat, Pedashenko Vladislav, Dmitrii Abramov, Nikita Severin, Yury Maximov, Andrey Savchenko, Ilya Makarov

Generalization error bound for denoising score matching under relaxed manifold assumption

Konstantin Yakovlev, Nikita Puchkin

Knowledge Graph Completion with Mixed Geometry Tensor Factorization

Viacheslav Yusupov, Maxim Rakhuba, Evgeny Frolov

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

Gleb Mezentsev, Ivan Oseledets

Recurrent Action Transformer with Memory

Egor Cherepanov, Aleksei Staroverov, Alexey Kovalev, Aleksandr Panov

Hogwild! Inference: Parallel LLM Generation via Concurrent Attention

Gleb Rodionov, Roman Garipov, Alina Shutova, George Yakushev, Erik Schultheis, Vage Egiazarian, Anton Sinitsin, Denis Kuznedelev, Dan Alistarh

Block-wise distillation for lightweight weather models

Daniil Sukhorukov , Andrei Zakharov, Dmitry Zhevnenko, Vladimir Kirilin, Ekaterina Muravleva, Ivan Oseledets, Ilya Makarov

Frozen in the Middle: Hidden States Remain Unchanged Across Intermediate Layers of Language Models

Pavel Tikhonov, Dmitry Ilvovsky

Mechanistic Permutability: Match Features Across Layers

Nikita Balagansky, Ian Maksimov, Daniil Gavrilov

Evaluating robustness of tabular models under meta-features based shifts

Irina Deeva, Nargiza Amerkhanova, Alena Kropacheva

Time to Split: Exploring Data Splitting Strategies for Offline Evaluation of Sequential Recommenders

Danil Gusak, Anna Volodkevich, Anton Klenitskiy, Alexey Vasilev, Evgeny Frolov

AmbiK: Dataset of Ambiguous Tasks in Kitchen Environment

Anastasiia Ivanova, Eva Bakaeva, Zoya Volovikova, Alexey K. Kovalev, Aleksandr I. Panov

Pisets: A Robust Speech Recognition System for Lectures and Interviews

Ivan Bondarenko, Daniil Grebenkin, Oleg Sedukhin, Mikhail Klementev, Derunets Roman, Lyudmila Budneva

IQA-Adapter: Exploring Knowledge Transfer from Image Quality Assessment to Diffusion-based Generative Models

Khaled Abud; Sergey Lavrushkin; Alexey Kirillov; Dmitriy Vatolin

ATGen: A Framework for Active Text Generation

Akim Tsvigun Daniil Vasilev Ivan Tsvigun Ivan Lysenko Talgat Bektleuov Aleksandr Medvedev Uliana Vinogradova Nikita Severin Mikhail Mozikov Andrey Savchenko Rostislav Grigorev Ramil Kuleev Fedor Zhdanov Artem Shelmanov Ilya Makarov

Meta-features informed WGAN for tabular data

Roman Netrogolov, Irina Deeva

EBES: Easy Benchmarking for Event Sequences

Dmitry Osin, Igor Udovichenko, Viktor Moskvoretskii, Egor Shvetsov, Evgeny Burnaev

LLM-Independent Adaptive RAG: Let the Question Speak for Itself

Maria Marina, Nikolay Ivanov, Sergey Pletenev, Mikhail Salnikov, Daria Galimzianova, Nikita Krayko, Vasily Konovalov, Alexander Panchenko, Viktor Moskvoretskii

COALA: Numerically Stable and Efficient Framework for Context-Aware Low-Rank Approximation

Uliana Parkina, Maxim Rakhuba

Leveraging Coordinate Momentum in SignSGD and Muon: Memory-Optimized Zero-Order

Egor Petrov, Grigoriy Evseev, Aleksey Antonov, Andrey Veprikov, Pavel Plyusnin, Nikolay Bushkov, Stanislav Moiseev, Aleksandr Beznosikov

Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson-Romberg Extrapolation

Marina Sheshukova, Denis Belomestny, Alain Durmus, Eric Moulines, Alexey Naumov, Sergey Samsonov

Optimizing Backward Policies in GFlowNets via Trajectory Likelihood Maximization

Timofei Gritsaev, Nikita Morozov, Sergey Samsonov, Daniil Tiapkin

GSplatLoc: Grounding Keypoint Descriptors into 3D Gaussian Splatting for Improved Visual Localization

Gennady Sidorov, Malik Mohrat, Denis Gridusov, Rakhimov, Sergey Kolyubin

CHECK-MAT: Probing the Mathematical Reasoning and Rubric-Alignment of Vision-Language Models on Handwritten Solutions

Ruslan Khrulev

Clipping Improves Adam-Norm and AdaGrad-Norm when the Noise Is Heavy-Tailed

Savelii Chezhegov, Yaroslav Klyukin, Andrei Semenov, Aleksandr Beznosikov, Alexander Gasnikov, Samuel Horvath, Martin Takac, Eduard Gorbunov

Automatic Image Translation of Long Ancient Egyptian Texts for Augmented Reality Applications

Innokentiy Humonen, Maksim Golyadkin, Danil Kalin, Ilya Makarov 

Curse of Slicing: Why Sliced Mutual Information is a Deceptive Measure of Statistical Dependence

Alexander Semenenko, Ivan Butakov, Alexey Frolov, Ivan Oseledets

Correcting the LogQ Correction: Revisiting Sampled Softmax for Large-Scale Retrieval

Kirill Khrylchenko, Vladimir Baikalov, Sergei Makeev, Artem Matveev, Sergei Liamaev

Sample complexity of Schrodinger potential estimation

Nikita Puchkin, Iurii Pustovalov, Yuri Sapronov, Denis Suchkov, Alexey Naumov, Denis Belomestny

Latent Action Learning Requires Supervision in the Presence of Distractors

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

Statistical inference for Linear Stochastic Approximation with Markovian Noise

Sergey Samsonov, Marina Sheshukova, Eric Moulines, Alexey Naumov

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax

Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey Frolov

Memory, Benchmark & Robots: A Benchmark for Solving Complex Tasks with Reinforcement Learning

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

Let It Go? Not Quite: Addressing Item Cold Start in Sequential Recommendations with Content-Based Initialization

Anton Pembek, Artem Fatkulin, Anton Klenitskiy, Alexey Vasilev

LERa: Replanning with Visual Feedback in Instruction Following

Svyatoslav Pchelintsev, Maxim Patratskiy, Anatoly Onishchenko, Alexandr Korchemnyi, Aleksandr Medvedev, Uliana Vinogradova, Ilya Galuzinsky, Aleksey Postnikov, Alexey K. Kovalev, Aleksandr I. Panov

MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models

Kamil Garifullin, Maxim Nikolaev, Andrey Kuznetsov, Aibek Alanov

MMTEB: Massive Multilingual Text Embedding Benchmark

Kenneth Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzemiński, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çağatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafał Poświata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Šuppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy

The Russian-focused embedders’ exploration: ruMTEB benchmark and Russian embedding model design

Artem Snegirev, Maria Tikhonova, Anna Maksimova, Alena Fenogenova, Alexander Abramov

Does LLM dream of differential equation discovery?

Elizaveta Ivanchik, Timur Bavshin, Alexander Hvatov

MEMFOF: High-Resolution Training for Memory-Efficient Multi-Frame Optical Flow Estimation

Vladislav Bargatin, Egor Chistov, Alexander Yakovenko, Dmitriy Vatolin

On Linear Convergence in Smooth Convex-Concave Bilinearly-Coupled Saddle-Point Optimization: Lower Bounds and Optimal Algorithms

Ekaterina Borodich, Alexander Gasnikov, Dmitry Kovalev

Learning geometry-aware recommender systems with manifold regularization

Zaira Zainulabidova, Julia Borisova, Alexander Hvatov

Color Transfer with Modulated Flows

Maria Larchenko, Alexander Lobashev, Dmitry Guskov, Vladimir Vladimirovich Palyulin

Color Conditional Generation with Sliced Wasserstein Guidance

Alexander Lobashev, Maria Larchenko, Dmitry Guskov

SMMR: Sampling-Based MMR Reranking for Faster, More Diverse, and Balanced Recommendations and Retrieval

Kiryl Liakhnovich, Oleg Lashinin, Andrey Babkin, Michael Pechatov, Marina Ananyeva

Sign Operator for Coping with Heavy-Tailed Noise in Non-Convex Optimization: High Probability Bounds Under  (L_0, L_1)-Smoothness

Nikita Kornilov, Philip Zmushko, Andrei Semenov, Mark Ikonnikov, Alexander Gasnikov, Aleksandr Beznosikov

FaceCluster: Interactive Photo Organization with Enhanced Face Recognition

Alexander Filonenko, Ilya Makarov, Andrey V. Savchenko

Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph

Sergey Linok, Tatiana Zemskova, Svetlana Ladanova, Roman Titkov, Dmitry Yudin, Maxim Monastyrny, Aleksei Valenkov

3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark

Ivan Sviridov, Amina Miftahova, Tereshchenko Artemiy Vladimirovich, Galina Zubkova, Pavel Blinov, Andrey Savchenko

CCT-Code: Cross-Consistency Training for Multilingual Clone Detection and Code Search

Nikita Sorokin, Tikhonov Anton, Dmitry Abulkhanov, Ivan Sedykh, Irina Piontkovskaya, Valentin Malykh

Autonomous AI-Driven Grid Protection: Sub-Cycle Fault Response via NPU-Optimized Neural Networks

Aleksandr Kovalenko, Aleksey Evdakov, Galina Filatova, Andrey Yablokov, Aleksandr Bulashov, Ilya Makarov

A theoretical framework for self-supervised contrastive learning for continuous dependent data

Alexander Marusov, Aleksandr Yugay, Alexey Zaytsev

ReplaceMe: Network Simplification via Depth Pruning and Transformer Block Linearization

Dmitriy Shopkhoev, Ammar Ali, Magauiya Zhussip, Valentin Malykh, Stamatios Lefkimmiatis, Nikos Komodakis, Sergey Zagoruyko

You Do Not Fully Utilize Transformer's Representation Capacity

Gleb Gerasimov, Yaroslav Aksenov, Nikita Balagansky, Viacheslav Sinii, Daniil Gavrilov

SPY: Enhancing Privacy with Synthetic PII Detection Dataset

Maksim Savkin, Timur Ionov, Vasily Konovalov

Cramming 1568 Tokens into a Single Vector and Back Again: Exploring the Limits of Embedding Space Capacity

Yuri Kuratov, Mikhail Arkhipov, Aydar Bulatov, Mikhail Burtsev

Teach Old SAEs New Domain Tricks with Boosting

Nikita Koriagin, Yaroslav Aksenov, Daniil Laptev, Gleb Gerasimov, Nikita Balagansky, Daniil Gavrilov