Marina Munkhoeva

22 papers A* 6Journal 13Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Barlow Twins for Sequential Recommendation.
CoRR
Ivan Razvorotnev, Marina Munkhoeva, Evgeny Frolov
2025 A* conf
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax.
ICLR
Ivan Butakov, Alexander Semenenko, Alexander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey A. Frolov
2025 J jnl
Screener: Self-supervised Pathology Segmentation Model for 3D Medical Images.
CoRR
Mikhail Goncharov, Eugenia Soboleva, Maria Donskova, Ivan V. Oseledets, Marina Munkhoeva, Maxim Panov
2024 — conf
AIRI at RRG24: LLaVa with specialised encoder and decoder.
BioNLP@ACL
Marina Munkhoeva, Dmitry Umerenkov, Valentin Samokhin
2024 J jnl
Efficient Distribution Matching of Representations via Noise-Injected Deep InfoMax.
CoRR
Ivan Butakov, Alexander Semenenko, Aleksander Tolmachev, Andrey Gladkov, Marina Munkhoeva, Alexey A. Frolov
2023 J jnl
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning.
CoRR
Marina Munkhoeva, Ivan V. Oseledets
2023 J jnl
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.
ACM Trans. Knowl. Discov. Data
Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2023 A* conf
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning.
NeurIPS
Marina Munkhoeva, Ivan V. Oseledets
2023 — conf
Unsupervised Embedding Quality Evaluation.
TAG-ML
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2023 J jnl
Unsupervised Embedding Quality Evaluation.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2022 A* conf
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks.
AAAI
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2021 J jnl
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks.
CoRR
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
2021 J jnl
FREDE: Anytime Graph Embeddings.
Proc. VLDB Endow.
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2021 — conf
GRASP: Graph Alignment Through Spectral Signatures.
APWeb/WAIM (1)
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
2021 J jnl
GRASP: Graph Alignment through Spectral Signatures.
CoRR
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras
2020 J jnl
FREDE: Linear-Space Anytime Graph Embeddings.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
2020 A* conf
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs.
WWW
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2020 J jnl
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
2020 A* conf
The Shape of Data: Intrinsic Distance for Data Distributions.
ICLR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2019 J jnl
Intrinsic Multi-scale Evaluation of Generative Models.
CoRR
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
2018 A* conf
Quadrature-based features for kernel approximation.
NeurIPS
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
2018 J jnl
Quadrature-based features for kernel approximation.
CoRR
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets