Marina Munkhoeva | DeepAI

AI Chat

Featured Co-authors

Evgeny Burnaev
135 publications
Ivan Oseledets
105 publications
Alex Bronstein
39 publications
Bryan Perozzi
31 publications
Emmanuel Müller
16 publications
Aleksandr Petiushko
16 publications
Anton Tsitsulin
15 publications
Davide Mottin
14 publications
Panagiotis Karras
12 publications
Nurislam Tursynbek
9 publications
Mikhail Pautov
5 publications

∙ 05/31/2023

Bridging Spectral Embedding and Matrix Completion in Self-Supervised Learning

Self-supervised methods received tremendous attention thanks to their se...

0 Marina Munkhoeva, et al. ∙

∙ 05/26/2023

Unsupervised Embedding Quality Evaluation

Unsupervised learning has recently significantly gained in popularity, e...

0 Anton Tsitsulin, et al. ∙

∙ 09/22/2021

CC-Cert: A Probabilistic Approach to Certify General Robustness of Neural Networks

In safety-critical machine learning applications, it is crucial to defen...

0 Mikhail Pautov, et al. ∙

∙ 06/10/2021

GRASP: Graph Alignment through Spectral Signatures

What is the best way to match the nodes of two graphs? This graph alignm...

0 Judith Hermanns, et al. ∙

∙ 06/08/2020

FREDE: Linear-Space Anytime Graph Embeddings

Low-dimensional representations, or embeddings, of a graph's nodes facil...

6 Anton Tsitsulin, et al. ∙

∙ 03/03/2020

Just SLaQ When You Approximate: Accurate Spectral Distances for Web-Scale Graphs

Graph comparison is a fundamental operation in data mining and informati...

0 Anton Tsitsulin, et al. ∙

∙ 05/27/2019

Intrinsic Multi-scale Evaluation of Generative Models

Generative models are often used to sample high-dimensional data points ...

5 Anton Tsitsulin, et al. ∙

∙ 02/11/2018

Quadrature-based features for kernel approximation

We consider the problem of improving kernel approximation via randomized...

0 Marina Munkhoeva, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world