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2020 – today
- 2025
[i5]Rupert Mitchell, Antonio Alliegro, Raffaello Camoriano, Dustin Carrión-Ojeda, Antonio Carta, Georgia Chalvatzaki, Nikhil Churamani, Carlo D'Eramo, Samin Hamidi, Robin Hesse, Fabian Hinder, Roshni Kamath, Vincenzo Lomonaco, Subarnaduti Paul, Francesca Pistilli, Tinne Tuytelaars, Gido M. van de Ven, Kristian Kersting, Simone Schaub-Meyer, Martin Mundt:
Continual Learning Should Move Beyond Incremental Classification. CoRR abs/2502.11927 (2025)- 2024
- [c5]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Benchmarking the Attribution Quality of Vision Models. NeurIPS 2024 - [i4]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Benchmarking the Attribution Quality of Vision Models. CoRR abs/2407.11910 (2024) - 2023
- [c4]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CVPR Workshops 2023: 4544-4553 - [c3]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. ICCV 2023: 3958-3968 - [i3]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Content-Adaptive Downsampling in Convolutional Neural Networks. CoRR abs/2305.09504 (2023) - [i2]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. CoRR abs/2308.06248 (2023) - 2021
- [c2]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Fast Axiomatic Attribution for Neural Networks. NeurIPS 2021: 19513-19524 - [i1]Robin Hesse, Simone Schaub-Meyer, Stefan Roth:
Fast Axiomatic Attribution for Neural Networks. CoRR abs/2111.07668 (2021)
2010 – 2019
- 2016
- [c1]Patrick Metzler, Habib Saissi, Péter Bokor, Robin Hesse, Neeraj Suri
:
Efficient Verification of Program Fragments: Eager POR. ATVA 2016: 375-391
Coauthor Index
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