| NOMU: Neural Optimization-based Model Uncertainty J Heiss, J Weissteiner, H Wutte, S Seuken, J Teichmann arXiv preprint arXiv:2102.13640, 2021 | 19 | 2021 |
| 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 | 15 | 2021 |
| 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 | 11 | 2019 |
| 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 | 3 | 2023 |
| 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 | 2 | 2021 |
| 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 |
Josef TeichmannETH ZurichVerified email at math.ethz.ch
