Petiushko, Aleksandr

11 publications

AAAI 2025 DiffScene: Diffusion-Based Safety-Critical Scenario Generation for Autonomous Vehicles Chejian Xu, Aleksandr Petiushko, Ding Zhao, Bo Li

ICML 2025 SafeAuto: Knowledge-Enhanced Safe Autonomous Driving with Multimodal Foundation Models Jiawei Zhang, Xuan Yang, Taiqi Wang, Yu Yao, Aleksandr Petiushko, Bo Li

AISTATS 2022 Quadric Hypersurface Intersection for Manifold Learning in Feature Space Fedor Pavutnitskiy, Sergei O. Ivanov, Evgeniy Abramov, Viacheslav Borovitskiy, Artem Klochkov, Viktor Vyalov, Anatolii Zaikovskii, Aleksandr Petiushko

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

IJCAI 2022 Certified Robustness via Randomized Smoothing over Multiplicative Parameters of Input Transformations Nikita Muravev, Aleksandr Petiushko

WACV 2022 Geometry-Inspired Top-K Adversarial Perturbations Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

NeurIPS 2022 Nonparametric Uncertainty Quantification for Single Deterministic Neural Network Nikita Kotelevskii, Aleksandr Artemenkov, Kirill Fedyanin, Fedor Noskov, Alexander Fishkov, Artem Shelmanov, Artem Vazhentsev, Aleksandr Petiushko, Maxim Panov

NeurIPS 2022 Smoothed Embeddings for Certified Few-Shot Learning Mikhail Pautov, Olesya Kuznetsova, Nurislam Tursynbek, Aleksandr Petiushko, Ivan Oseledets

CVPRW 2021 MDMMT: Multidomain Multimodal Transformer for Video Retrieval Maksim Dzabraev, Maksim Kalashnikov, Stepan Komkov, Aleksandr Petiushko

NeurIPSW 2021 Nonparametric Approach to Uncertainty Quantification for Deterministic Neural Networks Nikita Yurevich Kotelevskii, Alexander Fishkov, Kirill Fedyanin, Aleksandr Petiushko, Maxim Panov

ECCVW 2020 Black-Box Face Recovery from Identity Features Anton Razzhigaev, Klim Kireev, Edgar Kaziakhmedov, Nurislam Tursynbek, Aleksandr Petiushko