Nikita Muravev

Publication Activity (10 Years)

Years Active: 2021-2023
Publications (10 Years): 6

Top Topics

Metric Learning

Parameter Settings

Machine Learning And Pattern Recognition

Nonparametric Regression

Top Venues

Publications

Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. DSAA (2023)
Nikita Muravev, Aleksandr Petiushko
Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations. IJCAI (2022)
Roman Kail, Kirill Fedyanin, Nikita Muravev, Alexey Zaytsev, Maxim Panov
ScaleFace: Uncertainty-aware Deep Metric Learning. CoRR (2022)
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)
Nikita Muravev, Aleksandr Petiushko
Certified Robustness via Randomized Smoothing over Multiplicative Parameters. 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)