Uncertainty Quantification for Image-based Traffic Prediction across Cities. - Alexander Timans; Nina Wiedemann; Nishant Kumar; Ye Hong; Martin Raubal (CoRR, 2023)

Conformal time series decomposition with component-wise exchangeability. - Derck W. E. Prinzhorn; Thijmen Nijdam; Putri A. van der Linden; Alexander Timans (COPA, 2024)

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction. - Alexander Timans; Christoph-Nikolas Straehle; Kaspar Sakmann; Eric T. Nalisnick (ECCV (88), 2024)

Fast yet Safe: Early-Exiting with Risk Control. - Metod Jazbec; Alexander Timans; Tin Hadzi Veljkovic; Kaspar Sakmann; Dan Zhang; Christian Andersson Naesseth; Eric T. Nalisnick (NeurIPS, 2024)

Max-Rank: Efficient Multiple Testing for Conformal Prediction. - Alexander Timans; Christoph-Nikolas Straehle; Kaspar Sakmann; Christian A. Naesseth; Eric T. Nalisnick (AISTATS, 2025)

CP2: Leveraging Geometry for Conformal Prediction via Canonicalization. - Putri A. van der Linden; Alexander Timans; Erik J. Bekkers (UAI, 2025)

On Continuous Monitoring of Risk Violations under Unknown Shift. - Alexander Timans; Rajeev Verma; Eric T. Nalisnick; Christian A. Naesseth (UAI, 2025)

On Equivariant Model Selection through the Lens of Uncertainty. - Putri A. van der Linden; Alexander Timans; Dharmesh Tailor; Erik J. Bekkers (CoRR, 2025)