Searching for music: from melodies in mind to the resources on the web. - Andrey Kuznetsov; Evgeny Pyshkin (Humans and Computers, 2010)

Function-based and circuit-based symbolic music representation, or back to Beethoven. - Andrey Kuznetsov; Evgeny Pyshkin (HCCE, 2012)

An Approach for Developing a Mobile Accessed Music Search Integration Platform. - Marina Purgina; Andrey Kuznetsov; Evgeny Pyshkin (FedCSIS, 2013)

A Provisioning Service for Automatic Command Line Applications Deployment in Computing Clouds. - Evgeny Pyshkin; Andrey Kuznetsov (HPCC/CSS/ICESS, 2014)

Leveraging User Experience through Input Style Transformation to Improve Access to Music Search Services. - Marina Purgina; Andrey Kuznetsov; Evgeny Pyshkin (Informatica (Slovenia), 2014)

Remote Sensing Data Verification Using Model-Oriented Descriptors. - Andrey Kuznetsov; Vladislav V. Myasnikov (AIST, 2015)

Understanding Software Provisioning: An Ontological View. - Evgeny Pyshkin; Andrey Kuznetsov; Vitaly Klyuev (DNIS, 2015)

Approach to building a web-based expert system interface and its application for software provisioning in clouds. - Evgeny Pyshkin; Andrey Kuznetsov (FedCSIS, 2015)

An evaluation of popular hyperspectral images classification approaches. - Andrey Kuznetsov; Vladislav V. Myasnikov (ICMV, 2015)

Using Efficient Linear Local Features in the Copy-Move Forgery Detection Task. - Andrey Kuznetsov; Vladislav V. Myasnikov (AIST, 2016)

Remote Sensing Data Copy-Move Forgery Protection Algorithm. - Andrey Kuznetsov (ICCVG, 2016)

A Copy-Move Detection Algorithm Using Binary Gradient Contours. - Andrey Kuznetsov; Vladislav V. Myasnikov (ICIAR, 2016)

Satellite Image Forgery Detection Based on Buildings Shadows Analysis. - Andrey Kuznetsov; Vladislav V. Myasnikov (AIST, 2017)

A Copy-Move Detection Algorithm Based on Geometric Local Binary Pattern. - Andrey Kuznetsov (TIWDC, 2017)

Copy-Move Detection Based on Different Forms of Local Binary Patterns. - Andrey Kuznetsov (AIST, 2018)

Camera Sensor Traces Analysis in Image Forgery Detection Problem. - Andrey Kuznetsov (ICCVG, 2018)

Person reidentification on video surveillance data. - Andrey Kuznetsov (ICMV, 2018)

Face Recognition Using DELF Feature Descriptors on RGB-D Data. - Andrey Kuznetsov (AIST (Supplement), 2019)

Digital video forgery detection based on statistical features calculation. - Andrey Kuznetsov (ICMV, 2019)

A New Sport Teams Logo Dataset for Detection Tasks. - Andrey Kuznetsov; Andrey V. Savchenko (ICCVG, 2020)

Two-Stage Classification Model for Feather Images Identification. - Alina Belko; Konstantin Dobratulin; Andrey Kuznetsov (ICPR Workshops (5), 2020)

Remote Sensing Image Inpainting with Generative Adversarial Networks. - Andrey Kuznetsov; Mikhail Gashnikov (ISDFS, 2020)

GHOST - A New Face Swap Approach for Image and Video Domains. - Alexander Groshev; Anastasia Maltseva; Daniil Chesakov; Andrey Kuznetsov; Denis Dimitrov (IEEE Access, 2022)

A new face swap method for image and video domains: a technical report. - Daniil Chesakov; Anastasia Maltseva; Alexander Groshev; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2022)

RuCLIP - new models and experiments: a technical report. - Alex Shonenkov; Andrey Kuznetsov; Denis Dimitrov; Tatiana Shavrina; Daniil Chesakov; Anastasia Maltseva; Alena Fenogenova; Igor Pavlov; Anton A. Emelyanov; Sergey Markov; Daria Bakshandaeva; Vera Shybaeva; et al. (CoRR, 2022)

Kandinsky: An Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion. - Anton Razzhigaev; Arseniy Shakhmatov; Anastasia Maltseva; Vladimir Arkhipkin; Igor Pavlov; Ilya Ryabov; Angelina Kuts; Alexander Panchenko; Andrey Kuznetsov; Denis Dimitrov (EMNLP (Demos), 2023)

RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition. - Igor Markov; Sergey Nesteruk; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2023)

Revising deep learning methods in parking lot occupancy detection. - Anastasia Martynova; Mikhail Kuznetsov; Vadim Porvatov; Vladislav Tishin; Andrey Kuznetsov; Natalia Semenova; Ksenia Kuznetsova (CoRR, 2023)

FusionFrames: Efficient Architectural Aspects for Text-to-Video Generation Pipeline. - Vladimir Arkhipkin; Zein Shaheen; Viacheslav Vasilev; Elizaveta Dakhova; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2023)

Kandinsky 3.0 Technical Report. - Vladimir Arkhipkin; Andrei Filatov; Viacheslav Vasilev; Anastasia Maltseva; Said Azizov; Igor Pavlov; Julia Agafonova; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2023)

MineralImage5k: A benchmark for zero-shot raw mineral visual recognition and description. - Sergey Nesteruk; Julia Agafonova; Igor Pavlov; Maxim Gerasimov; Nikolay Latyshev; Denis Dimitrov; Andrey Kuznetsov; Artur Kadurin; Pavel Plechov (Comput. Geosci., 2023)

Your Transformer is Secretly Linear. - Anton Razzhigaev; Matvey Mikhalchuk; Elizaveta Goncharova; Nikolai Gerasimenko; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (ACL (1), 2024)

The Shape of Learning: Anisotropy and Intrinsic Dimensions in Transformer-Based Models. - Anton Razzhigaev; Matvey Mikhalchuk; Elizaveta Goncharova; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (EACL (Findings), 2024)

OmniFusion Technical Report. - Elizaveta Goncharova; Anton Razzhigaev; Matvey Mikhalchuk; Maxim Kurkin; Irina Abdullaeva; Matvey Skripkin; Ivan V. Oseledets; Denis Dimitrov; Andrey Kuznetsov (CoRR, 2024)

ESQA: Event Sequences Question Answering. - Irina Abdullaeva; Andrei Filatov; Mikhail Orlov; Ivan Karpukhin; Viacheslav Vasilev; Denis Dimitrov; Andrey Kuznetsov; Ivan Kireev; Andrey V. Savchenko (CoRR, 2024)

Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework. - Vladimir Arkhipkin; Viacheslav Vasilev; Andrei Filatov; Igor Pavlov; Julia Agafonova; Nikolai Gerasimenko; Anna Averchenkova; Evelina Mironova; Anton Bukashkin; Konstantin Kulikov; Andrey Kuznetsov; Denis Dimitrov (CoRR, 2024)

Unleashing the power of novel conditional generative approaches for new materials discovery. - Lev Novitskiy; Vladimir D. Lazarev; Mikhail Tiutiulnikov; Nikita Vakhrameev; Roman A. Eremin; Innokentiy S. Humonen; Andrey Kuznetsov; Denis Dimitrov; Semen A. Budennyy (CoRR, 2024)

Addressing Hallucinations in Language Models with Knowledge Graph Embeddings as an Additional Modality. - Viktoriia Chekalina; Anton Razzigaev; Elizaveta Goncharova; Andrey Kuznetsov (CoRR, 2024)

Understanding the Limitations of Deep Transformer Models for Sea Ice Forecasting. - Julia Borisova; Andrey Kuznetsov; Gleb V. Solovev; Nikolay O. Nikitin (ICCS (3), 2025)

LLM-Microscope: Uncovering the Hidden Role of Punctuation in Context Memory of Transformers. - Anton Razzhigaev; Matvey Mikhalchuk; Temurbek Rahmatullaev; Elizaveta Goncharova; Polina Druzhinina; Ivan V. Oseledets; Andrey Kuznetsov (NAACL (Findings), 2025)

SODAOpt: Socio-Demographic and Textual Adaptive Fusion for Optimizing Developer Task Assignment. - Karina Romanova; Sergey Senichev; Lina Veltman; Ivan Nasonov; Andrey Kuznetsov; Ilya Makarov (SIGSOFT FSE Companion, 2025)

ImproveYourVideos: Architectural Improvements for Text-to-Video Generation Pipeline. - Vladimir Arkhipkin; Zein Shaheen; Viacheslav Vasilev; Elizaveta Dakhova; Konstantin Sobolev; Andrey Kuznetsov; Denis Dimitrov (IEEE Access, 2025)

MaxInfo: A Training-Free Key-Frame Selection Method Using Maximum Volume for Enhanced Video Understanding. - Pengyi Li 003; Irina Abdullaeva; Alexander Gambashidze; Andrey Kuznetsov; Ivan V. Oseledets (CoRR, 2025)

MaterialFusion: High-Quality, Zero-Shot, and Controllable Material Transfer with Diffusion Models. - Kamil Garifullin; Maxim Nikolaev; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

Universal Adversarial Attack on Aligned Multimodal LLMs. - Temurbek Rahmatullaev; Polina Druzhinina; Matvey Mikhalchuk; Andrey Kuznetsov; Anton Razzhigaev (CoRR, 2025)

Toward Cybersecurity Testing and Monitoring of IoT Ecosystems. - Stephen Taylor 002; Panos Melas; Martin Gilje Jaatun; Aida Omerovic; Robert Seidl; Norbert Götze; Jens Kuhr; Dmytro Prosvirin; Manuel Leone; Paolo De Lutiis; Andrey Kuznetsov; Anatoliy Gritskevich; et al. (CoRR, 2025)

MOVE: A Mixture-of-Vision-Encoders Approach for Domain-Focused Vision-Language Processing. - Matvey Skripkin; Elizaveta Goncharova; Dmitrii Tarasov; Andrey Kuznetsov (CoRR, 2025)

GHOST 2.0: generative high-fidelity one shot transfer of heads. - Alexander Groshev; Anastasiia Iashchenko; Pavel Paramonov; Denis Dimitrov; Andrey Kuznetsov (CoRR, 2025)

When Less is Enough: Adaptive Token Reduction for Efficient Image Representation. - Eduard Allakhverdov; Elizaveta Goncharova; Andrey Kuznetsov (CoRR, 2025)

Generalized Fisher-Weighted SVD: Scalable Kronecker-Factored Fisher Approximation for Compressing Large Language Models. - Viktoriia Chekalina; Daniil Moskovskiy; Daria Cherniuk; Maxim Kurkin; Andrey Kuznetsov; Evgeny Frolov (CoRR, 2025)

DreamBoothDPO: Improving Personalized Generation using Direct Preference Optimization. - Shamil Ayupov; Maksim Nakhodnov; Anastasia Yaschenko; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

FastFace: Tuning Identity Preservation in Distilled Diffusion via Guidance and Attention. - Sergey Karpukhin; Vadim Titov; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

ImageReFL: Balancing Quality and Diversity in Human-Aligned Diffusion Models. - Dmitrii Sorokin; Maksim Nakhodnov; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

Confidence Is All You Need: Few-Shot RL Fine-Tuning of Language Models. - Pengyi Li 003; Matvey Skripkin; Alexander Zubrey; Andrey Kuznetsov; Ivan V. Oseledets (CoRR, 2025)

Image Reconstruction as a Tool for Feature Analysis. - Eduard Allakhverdov; Dmitrii Tarasov; Elizaveta Goncharova; Andrey Kuznetsov (CoRR, 2025)

Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space. - Anton Razzhigaev; Matvey Mikhalchuk; Klim Kireev; Igor Udovichenko; Andrey Kuznetsov; Aleksandr Petiushko (CoRR, 2025)

Inverse-and-Edit: Effective and Fast Image Editing by Cycle Consistency Models. - Ilia Beletskii; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

Listener-Rewarded Thinking in VLMs for Image Preferences. - Alexander Gambashidze; Pengyi Li 003; Matvey Skripkin; Andrey V. Galichin; Anton Gusarov; Konstantin Sobolev; Andrey Kuznetsov; Ivan V. Oseledets (CoRR, 2025)

Heeding the Inner Voice: Aligning ControlNet Training via Intermediate Features Feedback. - Nina Konovalova; Maxim Nikolaev; Andrey Kuznetsov; Aibek Alanov (CoRR, 2025)

T-LoRA: Single Image Diffusion Model Customization Without Overfitting. - Vera Soboleva; Aibek Alanov; Andrey Kuznetsov; Konstantin Sobolev (CoRR, 2025)