Active learning of deep surrogates for PDEs: application to metasurface design
- Raphaël Pestourie
- Youssef Mroueh
- et al.
- 2020
- npj Computational Materials
Paper
Publications
90 results for Uncertainty Quantification
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Workshop paperRapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- Richard Tomsett
- Alun Preece
- et al.
- 2020
- Patterns
ReviewLearn-By-Calibrating: Using Calibration As A Training Objective
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- ICASSP 2020
Conference paperTowards Automating the AI Operations Lifecycle
- Matthew Arnold
- Jeffrey Boston
- et al.
- 2020
- MLSys 2020
Workshop paperBuilding calibrated deep models via uncertainty matching with auxiliary interval predictors
- Jayaraman J. Thiagarajan
- Bindya Venkatesh
- et al.
- 2020
- AAAI 2020
Conference paperCrowd counting with decomposed uncertainty
- Min Hwan Oh
- Peder Olsen
- et al.
- 2020
- AAAI 2020
Conference paperEffect of confidence and explanation on accuracy and trust calibration in AI-assisted decision making
- Yunfeng Zhang
- Q. Vera Liao
- et al.
- 2020
- FAccT 2020
Conference paperCounting the Number of Optimal Solutions in Graphical Models
- Radu Marinescu
- Rina Dechter
- 2019
- NeurIPS 2019
Conference paperCombining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019
Workshop paper