David Widmann

According to our database, David Widmann authored at least 6 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Reliable Uncertainty Quantification in Statistical Learning.

David Widmann

PhD thesis, 2023

Fast and scalable score-based kernel calibration tests.

Pierre Glaser, David Widmann, Fredrik Lindsten, Arthur Gretton

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

DelayDiffEq: Generating Delay Differential Equation Solvers via Recursive Embedding of Ordinary Differential Equation Solvers.

David Widmann, Chris Rackauckas

CoRR, 2022

2021

Calibration tests beyond classification.

David Widmann, Fredrik Lindsten, Dave Zachariah

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Calibration tests in multi-class classification: A unifying framework.

David Widmann, Fredrik Lindsten, Dave Zachariah

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Evaluating model calibration in classification.

Juozas Vaicenavicius, David Widmann, Carl R. Andersson, Fredrik Lindsten, Jacob Roll, Thomas B. Schön

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019