Deep Image Retrieval is not Robust to Label Noise. - Stanislav Dereka; Ivan Karpukhin; Sergey Kolesnikov (CVPR Workshops, 2022)

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

EXACT: How to train your accuracy. - Ivan Karpukhin; Stanislav Dereka; Sergey Kolesnikov (Pattern Recognit. Lett., 2024)

Probabilistic embeddings revisited. - Ivan Karpukhin; Stanislav Dereka; Sergey Kolesnikov (Vis. Comput., 2024)

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

Enhancing Vision-Language Model Training with Reinforcement Learning in Synthetic Worlds for Real-World Success. - George Bredis; Stanislav Dereka; Viacheslav Sinii; Ruslan Rakhimov; Daniil Gavrilov (CoRR, 2025)