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Hanna Sophia Wutte
Hanna Sophia Wutte
PhD Student, ETH Zürich
Verified email at math.ethz.ch
Title
Cited by
Cited by
Year
NOMU: Neural Optimization-based Model Uncertainty
J Heiss, J Weissteiner, H Wutte, S Seuken, J Teichmann
arXiv preprint arXiv:2102.13640, 2021
202021
A deep learning model for gas storage optimization
N Curin, M Kettler, X Kleisinger-Yu, V Komaric, T Krabichler, J Teichmann, ...
Decisions in Economics and Finance 44 (2), 1021-1037, 2021
162021
How Implicit Regularization of ReLU Neural Networks Characterizes the Learned Function--Part I: the 1-D Case of Two Layers with Random First Layer
J Heiss, J Teichmann, H Wutte
arXiv preprint arXiv:1911.02903, 2019
122019
How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function--Part II: the Multi-D Case of Two Layers with Random First Layer
J Heiss, J Teichmann, H Wutte
arXiv preprint arXiv:2303.11454, 2023
32023
How Infinitely Wide Neural Networks Can Benefit from Multi-task Learning--an Exact Macroscopic Characterization
J Heiss, J Teichmann, H Wutte
arXiv preprint arXiv:2112.15577, 2021
22021
Robust Utility Optimization via a GAN Approach
F Krach, J Teichmann, H Wutte
arXiv preprint arXiv:2403.15243, 2024
2024
Machine Learning-powered Pricing of the Multidimensional Passport Option
J Teichmann, H Wutte
arXiv preprint arXiv:2307.14887, 2023
2023
A Take on Deep Learning in Finance: Uncertainty Quantification and Dynamic Decision Making
H Wutte
ETH Zurich, 2023
2023
Energy futures
HS Wutte
Wien, 2017
2017
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Articles 1–9