i6092467

GVAR

An interpretable framework for inferring nonlinear multivariate Granger causality based on self-explaining neural networks.

vadesc

A probabilistic model to cluster survival data in a variational deep clustering setting

NNGC-SLIMMBA

Nonlinear Granger causality inference with neural networks for high-resolution mass spectrometry

pediatric-appendicitis-ml

Using ML to predict the diagnosis, management, and severity of pediatric appendicitis

semi-supervised-multiview-cbm

Concept bottleneck models for multiview data with incomplete concept sets

diff-bias-proxies

Pruning and fine-tuning for debiasing an already-trained neural network with applications to deep chest X-ray classifiers

t-cells-response-sars-cov-2

Code and data for the ML analysis of humoral and cellular responses to SARS-CoV-2

i6092467

Config files for my GitHub profile.

informatikgrundlagen-intro2ds