9 citations · 17 across the 3 of their papers we have counts for
3 papers
stat.ML2023★ 2 cited
Mind the spikes: Benign overfitting of kernels and neural networks in fixed dimension
Moritz Haas, David Holzmüller, Ulrike von Luxburg +1
The success of over-parameterized neural networks trained to near-zero training error has caused great interest in the phenomenon of benign overfitting, where estimators are statis…
cs.LG2022★ 9 cited
Pitfalls of Climate Network Construction: A Statistical Perspective
Moritz Haas, Bedartha Goswami, Ulrike von Luxburg
Network-based analyses of dynamical systems have become increasingly popular in climate science. Here we address network construction from a statistical perspective and highlight t…
math.ST2020★ 6 cited
Statistical analysis of Wasserstein GANs with applications to time series forecasting
Moritz Haas, Stefan Richter
We provide statistical theory for conditional and unconditional Wasserstein generative adversarial networks (WGANs) in the framework of dependent observations. We prove upper bound…