Marina Munkhoeva

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 17

Top Topics

Supervised Learning

Spectral Embedding

Matrix Completion

Top Venues

Proc. VLDB Endow.

ACM Trans. Knowl. Discov. Data

Publications

Judith Hermanns, Konstantinos Skitsas, Anton Tsitsulin, Marina Munkhoeva, Alexander Frederiksen Kyster, Simon Nielsen, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
GRASP: Scalable Graph Alignment by Spectral Corresponding Functions. ACM Trans. Knowl. Discov. Data 17 (4) (2023)
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
Unsupervised Embedding Quality Evaluation. CoRR (2023)
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
Unsupervised Embedding Quality Evaluation. TAG-ML (2023)
Marina Munkhoeva, Ivan V. Oseledets
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. NeurIPS (2023)
Marina Munkhoeva, Ivan V. Oseledets
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR (2023)
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
CC-CERT: A Probabilistic Approach to Certify General Robustness of Neural Networks. AAAI (2022)
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras
GRASP: Graph Alignment Through Spectral Signatures. APWeb/WAIM (1) (2021)
Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras
GRASP: Graph Alignment through Spectral Signatures. CoRR (2021)
Mikhail Pautov, Nurislam Tursynbek, Marina Munkhoeva, Nikita Muravev, Aleksandr Petiushko, Ivan V. Oseledets
CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks. CoRR (2021)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. 14 (6) (2021)
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. WWW (2020)
Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. CoRR (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller
FREDE: Linear-Space Anytime Graph Embeddings. CoRR (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
The Shape of Data: Intrinsic Distance for Data Distributions. ICLR (2020)
Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller
Intrinsic Multi-scale Evaluation of Generative Models. CoRR (2019)
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
Quadrature-based features for kernel approximation. NeurIPS (2018)
Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets
Quadrature-based features for kernel approximation. CoRR (2018)