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2020 – today
- 2024
[i5]Florian Krach, Josef Teichmann, Hanna Wutte:
Robust Utility Optimization via a GAN Approach. CoRR abs/2403.15243 (2024)- 2023
- [i4]Jakob Heiss
, Josef Teichmann, Hanna Wutte:
How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function - Part II: the Multi-D Case of Two Layers with Random First Layer. CoRR abs/2303.11454 (2023) - 2022
- [c1]Jakob Heiss, Jakob Weissteiner, Hanna S. Wutte, Sven Seuken, Josef Teichmann:
NOMU: Neural Optimization-based Model Uncertainty. ICML 2022: 8708-8758 - 2021
- [i3]Jakob Heiss, Jakob Weissteiner, Hanna Wutte, Sven Seuken, Josef Teichmann:
NOMU: Neural Optimization-based Model Uncertainty. CoRR abs/2102.13640 (2021) - [i2]Jakob Heiss, Josef Teichmann, Hanna Wutte:
Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes - an exact quantitative macroscopic characterization. CoRR abs/2112.15577 (2021)
2010 – 2019
- 2019
- [i1]Jakob Heiss, Josef Teichmann, Hanna Wutte:
How implicit regularization of Neural Networks affects the learned function - Part I. CoRR abs/1911.02903 (2019)
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