Sakmann, Kaspar

8 publications

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

ECCV 2024 Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick

NeurIPS 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICMLW 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICMLW 2024 Fast yet Safe: Early-Exiting with Risk Control Metod Jazbec, Alexander Timans, Tin Hadži Veljković, Kaspar Sakmann, Dan Zhang, Christian A. Naesseth, Eric Nalisnick

ICCVW 2023 Anomaly-Aware Semantic Segmentation via Style-Aligned OoD Augmentation Dan Zhang, Kaspar Sakmann, William Beluch, Robin Hutmacher, Yumeng Li

ICLR 2023 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen

NeurIPSW 2022 Certified Defences Against Adversarial Patch Attacks on Semantic Segmentation Maksym Yatsura, Kaspar Sakmann, N. Grace Hua, Matthias Hein, Jan Hendrik Metzen