Munkhoeva, Marina

7 publications

ICLR 2026 Modeling the Density of Pixel-Level Self-Supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT Mikhail Goncharov, Eugenia Soboleva, Daniil Ignatyev, Mariia Donskova, Mikhail Belyaev, Ivan Oseledets, Marina Munkhoeva, Maxim Panov

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

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

ICMLW 2023 Unsupervised Embedding Quality Evaluation Anton Tsitsulin, Marina Munkhoeva, Bryan Perozzi

AAAI 2022 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

ICLR 2020 The Shape of Data: Intrinsic Distance for Data Distributions Anton Tsitsulin, Marina Munkhoeva, Davide Mottin, Panagiotis Karras, Alex Bronstein, Ivan Oseledets, Emmanuel Müller

NeurIPS 2018 Quadrature-Based Features for Kernel Approximation Marina Munkhoeva, Yermek Kapushev, Evgeny Burnaev, Ivan Oseledets