Julian Bitterwolf

14 papers A* 5B 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation. ICML Julian Bitterwolf, Maximilian Müller, Matthias Hein
2023	J	`jnl`	In or Out? Fixing ImageNet Out-of-Distribution Detection Evaluation. CoRR Julian Bitterwolf, Maximilian Müller, Matthias Hein
2022	A*	`conf`	Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. ICML Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022	J	`jnl`	Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. CoRR Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein
2022	B	`conf`	Neural Network Heuristic Functions: Taking Confidence into Account. SOCS Daniel Heller, Patrick Ferber, Julian Bitterwolf, Matthias Hein, Jörg Hoffmann
2022	A*	`conf`	Provably Adversarially Robust Detection of Out-of-Distribution Data (Almost) for Free. NeurIPS Alexander Meinke, Julian Bitterwolf, Matthias Hein
2021	J	`jnl`	Provably Robust Detection of Out-of-distribution Data (almost) for free. CoRR Alexander Meinke, Julian Bitterwolf, Matthias Hein
2020	—	`conf`	A Simple Way to Make Neural Networks Robust Against Diverse Image Corruptions. ECCV (3) Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
2020	A*	`conf`	Certifiably Adversarially Robust Detection of Out-of-Distribution Data. NeurIPS Julian Bitterwolf, Alexander Meinke, Matthias Hein
2020	J	`jnl`	Increasing the robustness of DNNs against image corruptions by playing the Game of Noise. CoRR Evgenia Rusak, Lukas Schott, Roland S. Zimmermann, Julian Bitterwolf, Oliver Bringmann, Matthias Bethge, Wieland Brendel
2020	J	`jnl`	Provable Worst Case Guarantees for the Detection of Out-of-Distribution Data. CoRR Julian Bitterwolf, Alexander Meinke, Matthias Hein
2019	A*	`conf`	Why ReLU Networks Yield High-Confidence Predictions Far Away From the Training Data and How to Mitigate the Problem. CVPR Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
2019	—	`conf`	Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. CVPR Workshops Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
2018	J	`jnl`	Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem. CoRR Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf