Christoph Schultheiss

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Julia E. Vogt, B. Schölkopf, P. Bühlmann, 2022, ArXiv.

The AI Neuropsychologist: Automatic scoring of memory deficits with deep learning

Bruno Hebling Vieira, Ce Zhang, Maurice Weber, 2022, bioRxiv.

On the pitfalls of Gaussian likelihood scoring for causal discovery

Peter Buhlmann, Christoph Schultheiss, 2022, 2210.11104.

Multicarving for high-dimensional post-selection inference

Peter Buhlmann, Christoph Schultheiss, Claude Renaux, 2020, 2006.04613.

On the Identifiability and Estimation of Causal Location-Scale Noise Models

Julia E. Vogt, B. Schölkopf, P. Bühlmann, 2022, ICML.

Multicarving for high-dimensional post-selection inference

Peter Buhlmann, Claude Renaux, Christoph Schultheiss, 2020, Electronic Journal of Statistics.

Automating clinical assessments of memory deficits: Deep Learning based scoring of the Rey-Osterrieth Complex Figure

Ce Zhang, T. Zaehle, Andreas Pedroni, 2023, bioRxiv.

The AI Neuropsychologist: Automatic scoring of memory deficits with deep learning

Bruno Hebling Vieira, Ce Zhang, Maurice Weber, 2022 .

Assessing the overall and partial causal well-specification of nonlinear additive noise models

Christoph Schultheiss, Peter Buhlmann, 2023, 2310.16502.