Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models. - Mikhail Terekhov; Viktor Larsson (ICCV, 2023)

Learning pure quantum states (almost) without regret. - Josep Lumbreras; Mikhail Terekhov; Marco Tomamichel (CoRR, 2024)

In Search for Architectures and Loss Functions in Multi-Objective Reinforcement Learning. - Mikhail Terekhov; Caglar Gulcehre (CoRR, 2024)

Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders. - Viacheslav Surkov; Chris Wendler; Mikhail Terekhov; Justin Deschenaux; Robert West 001; Caglar Gulcehre (CoRR, 2024)

Contextual Bandit Optimization with Pre-Trained Neural Networks. - Mikhail Terekhov (CoRR, 2025)

Regret-Optimized Portfolio Enhancement through Deep Reinforcement Learning and Future Looking Rewards. - Daniil Karzanov; Rubén Garzón; Mikhail Terekhov; Caglar Gulcehre; Thomas Raffinot; Marcin Detyniecki (CoRR, 2025)

Control Tax: The Price of Keeping AI in Check. - Mikhail Terekhov; Zhen Ning David Liu; Caglar Gulcehre; Samuel Albanie (CoRR, 2025)