Hanna Wutte

According to our database, Hanna Wutte authored at least 6 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

JUCAL: Jointly Calibrating Aleatoric and Epistemic Uncertainty in Classification Tasks.

Jakob Heiss, Sören Lambrecht, Jakob Weissteiner, Hanna Wutte, Zan Zuric, Josef Teichmann, Bin Yu

CoRR, February, 2026

2024

Robust Utility Optimization via a GAN Approach.

Florian Krach, Josef Teichmann, Hanna Wutte

CoRR, 2024

2023

How (Implicit) Regularization of ReLU Neural Networks Characterizes the Learned Function - Part II: the Multi-D Case of Two Layers with Random First Layer.

Jakob Heiss, Josef Teichmann, Hanna Wutte

CoRR, 2023

2022

NOMU: Neural Optimization-based Model Uncertainty.

Jakob Heiss, Jakob Weissteiner, Hanna S. Wutte, Sven Seuken, Josef Teichmann

Proceedings of the International Conference on Machine Learning, 2022

2021

Infinite wide (finite depth) Neural Networks benefit from multi-task learning unlike shallow Gaussian Processes - an exact quantitative macroscopic characterization.

Jakob Heiss, Josef Teichmann, Hanna Wutte

CoRR, 2021

2019

How implicit regularization of Neural Networks affects the learned function - Part I.

Jakob Heiss, Josef Teichmann, Hanna Wutte

CoRR, 2019