3 papers
hep-ph2026
Local Conformal Predictions for Calibrated Surrogates
Suprio Dubey, Henning Bahl, Anja Butter +2
Neural network surrogates for LHC scattering amplitudes require trustworthy uncertainty estimates, a challenging task given the non-Gaussian systematics. We target it using conform…
q-bio.BM2026
Exploring Drug Safety Through Knowledge Graphs: Protein Kinase Inhibitors as a Case Study
David Jackson, Michael Gertz, Jürgen Hesser
Adverse Drug Reactions (ADRs) are a leading cause of morbidity and mortality. Existing prediction methods rely mainly on chemical similarity, machine learning on structured databas…
cs.LG2025
A Systematic Review of Conformal Inference Procedures for Treatment Effect Estimation: Methods and Challenges
Pascal Memmesheimer, Vincent Heuveline, Jürgen Hesser
Treatment effect estimation is essential for informed decision-making in many fields such as healthcare, economics, and public policy. While flexible machine learning models have b…