Evaluating model calibration in classification. - Juozas Vaicenavicius; David Widmann; Carl R. Andersson; Fredrik Lindsten; Jacob Roll; Thomas B. Schön (AISTATS, 2019)

Calibration tests in multi-class classification: A unifying framework. - David Widmann; Fredrik Lindsten; Dave Zachariah (NeurIPS, 2019)

Calibration tests beyond classification. - David Widmann; Fredrik Lindsten; Dave Zachariah (ICLR, 2021)

DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers. - David Widmann; Chris Rackauckas (CoRR, 2022)

Fast and scalable score-based kernel calibration tests. - Pierre Glaser; David Widmann; Fredrik Lindsten; Arthur Gretton (UAI, 2023)

Reliable Uncertainty Quantification in Statistical Learning. - David Widmann (2023)