| 2026 | AAAI | Detecting the Future: All-at-Once Event Sequence Forecasting with Horizon Matching. | Ivan Karpukhin, Andrey V. Savchenko |
| 2026 | AAAI | HN-MVTS: HyperNetwork-based Multivariate Time Series Forecasting. | Andrey V. Savchenko, Oleg Kachan |
| 2026 | ACL | Hallucination Detection in LLMs with Topological Divergence on Attention Graphs. | Alexandra Bazarova, Andrei Volodichev, Aleksandr Yugay, Andrey Shulga, Alina Ermilova, Konstantin Polev, Julia Belikova, Rauf Parchiev, Dmitry Simakov, Maxim Savchenko, Andrey V. Savchenko, Serguei Barannikov, Alexey Zaytsev |
| 2026 | ACL | Anatomy of Unlearning: The Dual Impact of Fact Salience and Model Fine-Tuning. | Anna Borisiuk, Andrey V. Savchenko, Alexander Panchenko, Elena Tutubalina |
| 2026 | ACL | The Silence of the Facts: Popularity as a Barrier to Machine Unlearning. | Anna Borisiuk, Andrey V. Savchenko, Alexander Panchenko, Elena Tutubalina |
| 2026 | ACL | CRL-Prompt: Contrastive and Reinforcement Learning for Soft Prompt Tuning for Text Classification. | Danila Lapokin, Andrey V. Savchenko |
| 2026 | ACL | WeightLoRA: Keep Only Necessary Adapters. | Andrey Veprikov, Vladimir Solodkin, Alexander Zyl, Andrey V. Savchenko, Aleksandr Beznosikov |
| 2026 | ECIR | Pre-trained LLMs Meet Sequential Recommenders: Efficient User-Centric Knowledge Distillation. | Nikita Severin, Danil Kartushov, Vladislav Urzhumov, Vladislav Kulikov, Oksana Konovalova, Alexey Grishanov, Anton Klenitskiy, Artem Fatkulin, Alexey Vasilev, Andrey V. Savchenko, Ilya Makarov |
| 2026 | ECIR | Topological Metric for Unsupervised Embedding Quality Evaluation. | Aleksei Shestov, Anton Klenitskiy, Daria Denisova, Amurkhan Dzagkoev, Daniil Petrovich, Andrey V. Savchenko, Maksim Makarenko |
| 2026 | GECCO | Evolving Multi-Agent Systems with Large Language Models: Surrogate Fitness Limitations and Empirical Insights. | Vadim Akhmerov, Dmitry Gilemkhanov, Jerzy Kaminski, Ivan Dubrovsky, Maria Zaitseva, Dmitrii Kuznechenko, Egor Rozhdestvenskiy, Danil Fedorov, Ilia Revin, Vadim A. Potemkin, Ravil Mussabayev, Alexander Boukhanovsky, Anna V. Kalyuzhnaya, Andrey V. Savchenko, Nikolay O. Nikitin |
| 2026 | WWW | Beyond Isolated Clients: Integrating Graph-Based Embeddings into Event Sequence Models. | Harry Proshian, Nikita Severin, Sergey I. Nikolenko, Ivan Kireev, Andrey V. Savchenko, Ivan Sergeev, Maria Postnova, Ilya Makarov |
| 2026 | SIGIR | Financial Transaction Retrieval and Contextual Evidence for Knowledge-Grounded Reasoning. | Artem Sakhno, Daniil Tomilov, Yuliana Shakhvalieva, Inessa Fedorova, Daria Ruzanova, Omar Zoloev, Andrey V. Savchenko, Maksim Makarenko |
| 2025 | ACL | 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 V. Savchenko, Ilya Makarov, Rostislav Grigorev, Ramil Kuleev, Fedor Zhdanov, Artem Shelmanov |
| 2025 | CIKM | Multimodal Banking Dataset: Understanding Client Needs through Event Sequences. | Dzhambulat Mollaev, Ivan Kireev, Mikhail Orlov, Alexander Kostin, Ivan Karpukhin, Maria Postnova, Gleb Gusev, Andrey V. Savchenko |
| 2025 | CIKM | LLM4ES: Learning User Embeddings from Event Sequences via Large Language Models. | Aleksei Shestov, Omar Zoloev, Maksim Makarenko, Mikhail Orlov, Egor Fadeev, Ivan Kireev, Andrey V. Savchenko |
| 2025 | CVPR | Leveraging Lightweight Facial Models and Textual Modality in Audio-visual Emotional Understanding in-the-Wild. | Andrey V. Savchenko, Lyudmila V. Savchenko |
| 2025 | EMNLP | LATTE: Learning Aligned Transactions and Textual Embeddings for Bank Clients. | Egor Fadeev, Dzhambulat Mollaev, Aleksei Shestov, Dima Korolev, Omar Zoloev, Ivan Kireev, Andrey V. Savchenko, Maksim Makarenko |
| 2025 | EMNLP | MADD: Multi-Agent Drug Discovery Orchestra. | Gleb V. Solovev, Alina B. 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 O. Nikitin, Andrei Dmitrenko, Anna V. Kaluzhnaya, Andrey V. Savchenko |
| 2025 | EMNLP | 3MDBench: Medical Multimodal Multi-agent Dialogue Benchmark. | Ivan Sviridov, Amina Miftakhova, Artemiy Tereshchenko, Galina Zubkova, Pavel Blinov, Andrey V. Savchenko |
| 2025 | IJCAI | Tsururu: A Python-based Time Series Forecasting Strategies Library. | Alina Kostromina, Kseniia Kuvshinova, Aleksandr Yugay, Andrey V. Savchenko, Dmitry Simakov |
| 2025 | IJCAI | PyTorch-Lifestream: Learning Embeddings on Discrete Event Sequences. | Artem Sakhno, Ivan Kireev, Dmitrii Babaev, Maxim Savchenko, Gleb Gusev, Andrey V. Savchenko |
| 2025 | KDD | Simplicial SMOTE: Oversampling Solution to the Imbalanced Learning Problem. | Oleg Kachan, Andrey V. Savchenko, Gleb Gusev |
| 2025 | RecSys | eSASRec: Enhancing Transformer-based Recommendations in a Modular Fashion. | Daria Tikhonovich, Nikita Zelinskiy, Aleksandr V. Petrov, Mayya Spirina, Andrei Semenov, Andrey V. Savchenko, Sergei Kuliev |
| 2024 | AIED | To Kill a Student's Disengagement: Personalized Engagement Detection in Facial Video. | Egor Churaev, Andrey V. Savchenko |
| 2024 | AIST | Temporal Modeling via TCN and Transformer for Audio-Visual Emotion Recognition. | Aleksei A. Andreev, Andrey V. Savchenko |
| 2024 | CVPR | Leveraging Pre-trained Multi-task Deep Models for Trustworthy Facial Analysis in Affective Behaviour Analysis in-the-Wild. | Andrey V. Savchenko |
| 2024 | CVPR | EmotiEffNet and Temporal Convolutional Networks in Video-based Facial Expression Recognition and Action Unit Detection. | Andrey V. Savchenko, Anna P. Sidorova |
| 2024 | ECAI | CA-SER: Cross-Attention Feature Fusion for Speech Emotion Recognition. | Bashar M. Deeb, Andrey V. Savchenko, Ilya Makarov |
| 2024 | ECAI | InsideOut: Unifying Emotional LLMs to Foster Empathy. | Mikhail Mozikov, Nikita Severin, Maria Glushanina, Mikhail Baklashkin, Andrey V. Savchenko, Ilya Makarov |
| 2024 | ECAI | Device-Specific Facial Descriptors: Winning a Lottery with a SuperNet. | Andrey V. Savchenko, Dmitry Maslov, Ilya Makarov |
| 2024 | ECCV | Multi-task Affective Behaviour Analysis Based on MT-EmotiNet Models. | Andrey V. Savchenko |
| 2024 | ECCV | Smoothing Predictions of Multi-task EmotiNet Models for Compound Facial Expression Recognition. | Andrey V. Savchenko |
| 2024 | EMNLP | Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures. | Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey V. Savchenko, Artur Kadurin, Elena Tutubalina |
| 2024 | ICDM | Video-based learning of sign languages: one pre-train to fit them all. | Maxim Novopoltsev, Aleksandr Tulenkov, Ruslan Murtazin, Roman Akhidov, Iuliia Zemtsova, Emilia Bojarskaja, Daria Bondarenko, Andrey V. Savchenko, Ilya Makarov |
| 2024 | ICDM | Go-Kart Racing Simulator for Reinforcement Learning with Augmented Sim2Real Adaptation. | Ildar Nurgaliev, Andre Kuzminykh, Andrey V. Savchenko, Ilya Makarov |
| 2024 | ICDM | LLM-KT: A Versatile Framework for Knowledge Transfer from Large Language Models to Collaborative Filtering. | Nikita Severin, Aleksei Ziablitsev, Yulia Savelyeva, Valeriy Tashchilin, Ivan Bulychev, Mikhail Yushkov, Artem Kushneruk, Amaliya Zaryvnykh, Dmitrii Kiselev, Andrey V. Savchenko, Ilya Makarov |
| 2024 | ICLR | Chemical Language Models Have Problems with Chemistry: A Case Study on Molecule Captioning Task. | Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Andrey V. Savchenko, Elena Tutubalina |
| 2024 | IJCAI | GigaPevt: Multimodal Medical Assistant. | Pavel Blinov, Konstantin Egorov, Ivan Sviridov, Nikolay Ivanov, Stepan Botman, Evgeniy Tagin, Stepan Kudin, Galina Zubkova, Andrey V. Savchenko |
| 2024 | IJCAI | Inside Out: Emotional Multiagent Multimodal Dialogue Systems. | Andrey V. Savchenko, Lyudmila V. Savchenko |
| 2024 | ISMAR | Pose Networks Unveiled: Bridging the Gap for Monocular Depth Perception. | Yazan Dayoub, Andrey V. Savchenko, Ilya Makarov |
| 2024 | KDD | From Variability to Stability: Advancing RecSys Benchmarking Practices. | Valeriy Shevchenko, Nikita Belousov, Alexey Vasilev, Vladimir Zholobov, Artyom Sosedka, Natalia Semenova, Anna Volodkevich, Andrey V. Savchenko, Alexey Zaytsev |
| 2024 | NAACL | Leveraging Summarization for Unsupervised Dialogue Topic Segmentation. | Aleksei Artemiev, Daniil Parinov, Alexey Grishanov, Ivan Borisov, Alexey Vasilev, Daniil Muravetskii, Aleksey Rezvykh, Aleksei Goncharov, Andrey V. Savchenko |
| 2024 | SIGIR | Neural Click Models for Recommender Systems. | Mikhail Shirokikh, Ilya Shenbin, Anton Alekseev, Anna Volodkevich, Alexey Vasilev, Andrey V. Savchenko, Sergey I. Nikolenko |
| 2023 | AIST | Learning Facial Expression Recognition In-the-Wild from Synthetic Data Based on an Ensemble of Lightweight Neural Networks. | Long Nguyen, Andrey V. Savchenko |
| 2023 | CVPR | EmotiEffNets for Facial Processing in Video-based Valence-Arousal Prediction, Expression Classification and Action Unit Detection. | Andrey V. Savchenko |
| 2023 | ICML | Facial Expression Recognition with Adaptive Frame Rate based on Multiple Testing Correction. | Andrey V. Savchenko |
| 2023 | RecSys | Ti-DC-GNN: Incorporating Time-Interval Dual Graphs for Recommender Systems. | Nikita Severin, Andrey V. Savchenko, Dmitrii Kiselev, Maria Ivanova, Ivan Kireev, Ilya Makarov |
| 2022 | CVPR | Video-based Frame-level Facial Analysis of Affective Behavior on Mobile Devices using EfficientNets. | Andrey V. Savchenko |
| 2022 | ECCV | MT-EmotiEffNet for Multi-task Human Affective Behavior Analysis and Learning from Synthetic Data. | Andrey V. Savchenko |
| 2022 | IJCNN | Open-Set Face Identification with Sequential Analysis and Out-of-Distribution Data Detection | Anastasiia D. Sokolova, Andrey V. Savchenko |
| 2022 | SISY | Recommending Restaurants based on Classification of Photos from the Gallery of Mobile Device. | Andrey V. Savchenko |
| 2021 | AIST | Group-Level Affect Recognition in Video Using Deviation of Frame Features. | Andrey V. Savchenko, Lyudmila V. Savchenko, Natalya S. Belova |
| 2021 | IJCNN | User Preference Prediction in Visual Data on Mobile Devices. | Andrey V. Savchenko |
| 2021 | SISY | Facial expression and attributes recognition based on multi-task learning of lightweight neural networks. | Andrey V. Savchenko |
| 2020 | AIST | Efficient Group-Based Cohesion Prediction in Images Using Facial Descriptors. | Ilya Gavrikov, Andrey V. Savchenko |
| 2020 | COLING | Ad Lingua: Text Classification Improves Symbolism Prediction in Image Advertisements. | Andrey V. Savchenko, Anton Alekseev, Sejeong Kwon, Elena Tutubalina, Evgeny Myasnikov, Sergey I. Nikolenko |
| 2020 | ICCVG | A New Sport Teams Logo Dataset for Detection Tasks. | Andrey Kuznetsov, Andrey V. Savchenko |
| 2020 | ICPR | MobileEmotiFace: Efficient Facial Image Representations in Video-Based Emotion Recognition on Mobile Devices. | Polina Demochkina, Andrey V. Savchenko |
| 2020 | IJCNN | Sequential Analysis with Specified Confidence Level and Adaptive Convolutional Neural Networks in Image Recognition. | Andrey V. Savchenko |
| 2020 | IJCNN | Event Recognition with Automatic Album Detection based on Sequential Grouping of Confidence Scores and Neural Attention. | Andrey V. Savchenko |
| 2020 | IDA | Event Recognition Based on Classification of Generated Image Captions. | Andrey V. Savchenko, Evgeniy V. Miasnikov |
| 2019 | AIST | Multi-label Image Set Recognition in Visually-Aware Recommender Systems. | Kirill V. Demochkin, Andrey V. Savchenko |
| 2019 | AIST | Fast Nearest-Neighbor Classifier Based on Sequential Analysis of Principal Components. | Anastasiia D. Sokolova, Andrey V. Savchenko |
| 2019 | IBPRIA | User Modeling on Mobile Device Based on Facial Clustering and Object Detection in Photos and Videos. | Ivan S. Grechikhin, Andrey V. Savchenko |
| 2019 | ISNN | Scene Recognition in User Preference Prediction Based on Classification of Deep Embeddings and Object Detection. | Andrey V. Savchenko, Alexandr G. Rassadin |
| 2018 | AIST | Extraction of Visual Features for Recommendation of Products via Deep Learning. | Elena Andreeva, Dmitry I. Ignatov, Artem M. Grachev, Andrey V. Savchenko |
| 2018 | AIST | Emotion Recognition of a Group of People in Video Analytics Using Deep Off-the-Shelf Image Embeddings. | Alexander V. Tarasov, Andrey V. Savchenko |
| 2018 | ICPR | Efficient Statistical Face Recognition Using Trigonometric Series and CNN Features. | Andrey V. Savchenko |
| 2018 | SACI | Granular Computing and Sequential Analysis of Deep Embeddings in Fast Still-to-Video Face Recognition. | Andrey V. Savchenko |
| 2017 | AIST | Organizing Multimedia Data in Video Surveillance Systems Based on Face Verification with Convolutional Neural Networks. | Anastasiia D. Sokolova, Angelina S. Kharchevnikova, Andrey V. Savchenko |
| 2017 | IBPRIA | Deep Convolutional Neural Networks and Maximum-Likelihood Principle in Approximate Nearest Neighbor Search. | Andrey V. Savchenko |
| 2017 | ICMI | Group-level emotion recognition using transfer learning from face identification. | Alexandr G. Rassadin, Alexey S. Gruzdev, Andrey V. Savchenko |
| 2016 | AIST | Classification of Dangerous Situations for Small Sample Size Problem in Maintenance Decision Support Systems. | Vladimir R. Milov, Andrey V. Savchenko |
| 2016 | ISNN | Pattern Classification with the Probabilistic Neural Networks Based on Orthogonal Series Kernel. | Andrey V. Savchenko |
| 2015 | AIST | Sequential Hierarchical Image Recognition Based on the Pyramid Histograms of Oriented Gradients with Small Samples. | Andrey V. Savchenko, Vladimir R. Milov, Natalya S. Belova |
| 2014 | AIST | A Fast Mathematical Morphological Algorithm of Video-Based Moving Forklift Truck Detection in Noisy Environment. | Vladimir O. Chernousov, Andrey V. Savchenko |
| 2014 | ICISP | Semi-automated Speaker Adaptation: How to Control the Quality of Adaptation? | Andrey V. Savchenko |
| 2013 | ICVS | Real-Time Image Recognition with the Parallel Directed Enumeration Method. | Andrey V. Savchenko |