Eskofier, Bjoern

7 publications

NeurIPS 2025 Stratify or Die: Rethinking Data Splits in Image Segmentation Naga Venkata Sai Jitin Jami, Thomas Altstidl, Jonas Mueller, Jindong Li, Dario Zanca, Bjoern Eskofier, Heike Leutheuser

NeurIPS 2023 $p$-Value Adjustment for Monotonous, Unbiased, and Fast Clustering Comparison Kai Klede, Thomas Altstidl, Dario Zanca, Bjoern Eskofier

TMLR 2023 Active Learning of Ordinal Embeddings: A User Study on Football Data Christoffer Löffler, Kion Fallah, Stefano Fenu, Dario Zanca, Bjoern Eskofier, Christopher John Rozell, Christopher Mutschler

TMLR 2022 Behind the Machine’s Gaze: Neural Networks with Biologically-Inspired Constraints Exhibit Human-like Visual Attention Leo Schwinn, Doina Precup, Bjoern Eskofier, Dario Zanca

ICML 2022 Improving Robustness Against Real-World and Worst-Case Distribution Shifts Through Decision Region Quantification Leo Schwinn, Leon Bungert, An Nguyen, René Raab, Falk Pulsmeyer, Doina Precup, Bjoern Eskofier, Dario Zanca

NeurIPSW 2022 Simulating Human Gaze with Neural Visual Attention Leo Schwinn, Doina Precup, Bjoern Eskofier, Dario Zanca

UAI 2021 Identifying Untrustworthy Predictions in Neural Networks by Geometric Gradient Analysis Leo Schwinn, An Nguyen, René Raab, Leon Bungert, Daniel Tenbrinck, Dario Zanca, Martin Burger, Bjoern Eskofier