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ORCIDMaximilian Augustin
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2020 – today
- 2024
[c8]Maximilian Augustin, Yannic Neuhaus, Matthias Hein:
DiG-IN: Diffusion Guidance for Investigating Networks - Uncovering Classifier Differences, Neuron Visualisations, and Visual Counterfactual Explanations. CVPR 2024: 11093-11103- [i10]Maximilian Augustin, Syed Shakib Sarwar, Mostafa Elhoushi, Sai Qian Zhang, Yuecheng Li, Barbara De Salvo:
PETAH: Parameter Efficient Task Adaptation for Hybrid Transformers in a resource-limited Context. CoRR abs/2410.17661 (2024) - 2023
- [c7]Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein:
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. ICCV 2023: 20178-20189 - [i9]Maximilian Augustin, Yannic Neuhaus, Matthias Hein:
Analyzing and Explaining Image Classifiers via Diffusion Guidance. CoRR abs/2311.17833 (2023) - 2022
- [c6]Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein:
Sparse Visual Counterfactual Explanations in Image Space. GCPR 2022: 133-148 - [c5]Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein:
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. ICML 2022: 2041-2074 - [c4]Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein:
Diffusion Visual Counterfactual Explanations. NeurIPS 2022 - [i8]Valentyn Boreiko, Maximilian Augustin, Francesco Croce, Philipp Berens, Matthias Hein:
Sparse Visual Counterfactual Explanations in Image Space. CoRR abs/2205.07972 (2022) - [i7]Julian Bitterwolf, Alexander Meinke, Maximilian Augustin, Matthias Hein:
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities. CoRR abs/2206.09880 (2022) - [i6]Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein:
Diffusion Visual Counterfactual Explanations. CoRR abs/2210.11841 (2022) - [i5]Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein:
Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. CoRR abs/2212.04871 (2022) - 2021
- [c3]Lucjan Hanzlik, Yang Zhang
, Kathrin Grosse, Ahmed Salem, Maximilian Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CVPR Workshops 2021: 3300-3309 - 2020
- [c2]Maximilian Augustin, Alexander Meinke, Matthias Hein:
Adversarial Robustness on In- and Out-Distribution Improves Explainability. ECCV (26) 2020: 228-245 - [i4]Maximilian Augustin, Alexander Meinke, Matthias Hein:
Adversarial Robustness on In- and Out-Distribution Improves Explainability. CoRR abs/2003.09461 (2020) - [i3]Maximilian Augustin, Matthias Hein:
Out-distribution aware Self-training in an Open World Setting. CoRR abs/2012.12372 (2020)
2010 – 2019
- 2018
- [c1]Seong Joon Oh, Max Augustin, Mario Fritz, Bernt Schiele:
Towards Reverse-Engineering Black-Box Neural Networks. ICLR (Poster) 2018 - [i2]Lucjan Hanzlik, Yang Zhang, Kathrin Grosse, Ahmed Salem, Max Augustin, Michael Backes, Mario Fritz:
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service. CoRR abs/1808.00590 (2018) - 2017
- [i1]Seong Joon Oh, Max Augustin, Bernt Schiele, Mario Fritz:
Whitening Black-Box Neural Networks. CoRR abs/1711.01768 (2017)
Coauthor Index
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