3 papers
cs.LG2026
RareCP: Regime-Aware Retrieval for Efficient Conformal Prediction
Manuel Heurich, Maximilian Granz, Tim Landgraf
Recent advances in uncertainty quantification for time series forecasting show that conformal prediction can provide reliable prediction intervals, yet standard conformal methods a…
cs.LG2024
TABCF: Counterfactual Explanations for Tabular Data Using a Transformer-Based VAE
Emmanouil Panagiotou, Manuel Heurich, Tim Landgraf +1
In the field of Explainable AI (XAI), counterfactual (CF) explanations are one prominent method to interpret a black-box model by suggesting changes to the input that would alter a…
cs.LG2024
WeiPer: OOD Detection using Weight Perturbations of Class Projections
Maximilian Granz, Manuel Heurich, Tim Landgraf
Recent advances in out-of-distribution (OOD) detection on image data show that pre-trained neural network classifiers can separate in-distribution (ID) from OOD data well, leveragi…