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ORCIDMarina Munkhoeva
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2020 – today
- 2024
[c8]Marina Munkhoeva, Dmitry Umerenkov, Valentin Samokhin:
AIRI at RRG24: LLaVa with specialised encoder and decoder. BioNLP@ACL 2024: 603-607- 2023
- [j2]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): 50:1-50:26 (2023) - [c7]Marina Munkhoeva, Ivan V. Oseledets:
Neural Harmonics: Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. NeurIPS 2023 - [c6]Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Unsupervised Embedding Quality Evaluation. TAG-ML 2023: 169-188 - [i8]Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Unsupervised Embedding Quality Evaluation. CoRR abs/2305.16562 (2023) - [i7]Marina Munkhoeva, Ivan V. Oseledets:
Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning. CoRR abs/2305.19818 (2023) - 2022
- [c5]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: 7975-7983 - 2021
- [j1]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller:
FREDE: Anytime Graph Embeddings. Proc. VLDB Endow. 14(6): 1102-1110 (2021) - [c4]Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alexander M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Graph Alignment Through Spectral Signatures. APWeb/WAIM (1) 2021: 44-52 - [i6]Judith Hermanns, Anton Tsitsulin, Marina Munkhoeva, Alex M. Bronstein, Davide Mottin, Panagiotis Karras:
GRASP: Graph Alignment through Spectral Signatures. CoRR abs/2106.05729 (2021) - [i5]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 abs/2109.10696 (2021) - 2020
- [c3]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 - [c2]Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. WWW 2020: 2697-2703 - [i4]Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi:
Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs. CoRR abs/2003.01282 (2020) - [i3]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Ivan V. Oseledets, Emmanuel Müller:
FREDE: Linear-Space Anytime Graph Embeddings. CoRR abs/2006.04746 (2020)
2010 – 2019
- 2019
- [i2]Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alexander M. Bronstein, Ivan V. Oseledets, Emmanuel Müller:
Intrinsic Multi-scale Evaluation of Generative Models. CoRR abs/1905.11141 (2019) - 2018
- [c1]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. NeurIPS 2018: 9165-9174 - [i1]Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan V. Oseledets:
Quadrature-based features for kernel approximation. CoRR abs/1802.03832 (2018)
Coauthor Index
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