Machine learning-assisted close-set X-ray diffraction phase identification of transition metals. - Maksim Zhdanov 002; Andrey Zhdanov (CoRR, 2023)

Catching Image Retrieval Generalization. - Maksim Zhdanov 002; Ivan Karpukhin (CoRR, 2023)

Unveiling Empirical Pathologies of Laplace Approximation for Uncertainty Estimation. - Maksim Zhdanov 002; Stanislav Dereka; Sergey Kolesnikov (CoRR, 2023)

Diversifying Deep Ensembles: A Saliency Map Approach for Enhanced OOD Detection, Calibration, and Accuracy. - Stanislav Dereka; Ivan Karpukhin; Maksim Zhdanov 002; Sergey Kolesnikov (ICIP, 2024)

Identity Curvature Laplace Approximation for Improved Out-of-Distribution Detection. - Maksim Zhdanov 002; Stanislav Dereka; Sergey Kolesnikov (WACV, 2025)

Electrostatics from Laplacian Eigenbasis for Neural Network Interatomic Potentials. - Maksim Zhdanov 002; Vladislav Kurenkov (CoRR, 2025)