Quadrature-based features for kernel approximation. - Marina Munkhoeva; Yermek Kapushev; Evgeny Burnaev; Ivan V. Oseledets (NeurIPS, 2018)

Intrinsic Multi-scale Evaluation of Generative Models. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Ivan V. Oseledets; Emmanuel Müller (CoRR, 2019)

The Shape of Data: Intrinsic Distance for Data Distributions. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Alexander M. Bronstein; Ivan V. Oseledets; Emmanuel Müller (ICLR, 2020)

Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. - Anton Tsitsulin; Marina Munkhoeva; Bryan Perozzi (WWW, 2020)

FREDE: Linear-Space Anytime Graph Embeddings. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Ivan V. Oseledets; Emmanuel Müller (CoRR, 2020)

GRASP: Graph Alignment Through Spectral Signatures. - Judith Hermanns; Anton Tsitsulin; Marina Munkhoeva; Alexander M. Bronstein; Davide Mottin; Panagiotis Karras (APWeb/WAIM (1), 2021)

FREDE: Anytime Graph Embeddings. - Anton Tsitsulin; Marina Munkhoeva; Davide Mottin; Panagiotis Karras; Ivan V. Oseledets; Emmanuel Müller (Proc. VLDB Endow., 2021)

CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. - Mikhail Pautov; Nurislam Tursynbek; Marina Munkhoeva; Nikita Muravev; Aleksandr Petiushko; Ivan V. Oseledets (AAAI, 2022)

Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. - Marina Munkhoeva; Ivan V. Oseledets (NeurIPS, 2023)

Unsupervised Embedding Quality Evaluation. - Anton Tsitsulin; Marina Munkhoeva; Bryan Perozzi (TAG-ML, 2023)

Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. - Marina Munkhoeva; Ivan V. Oseledets (CoRR, 2023)

GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. - Judith Hermanns; Konstantinos Skitsas; Anton Tsitsulin; Marina Munkhoeva; Alexander Frederiksen Kyster; Simon Nielsen; Alexander M. Bronstein; Davide Mottin; Panagiotis Karras (ACM Trans. Knowl. Discov. Data, 2023)

AIRI at RRG24: LLaVa with specialised encoder and decoder. - Marina Munkhoeva; Dmitry Umerenkov; Valentin Samokhin (BioNLP@ACL, 2024)

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax. - Ivan Butakov; Alexander Semenenko; Aleksander Tolmachev; Andrey Gladkov; Marina Munkhoeva; Alexey A. Frolov (CoRR, 2024)

Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax. - Ivan Butakov; Alexander Semenenko; Alexander Tolmachev; Andrey Gladkov; Marina Munkhoeva; Alexey A. Frolov (ICLR, 2025)

Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images. - Mikhail Goncharov; Eugenia Soboleva; Maria Donskova; Ivan V. Oseledets; Marina Munkhoeva; Maxim Panov (CoRR, 2025)