Publications

This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.

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65 results for Uncertainty Quantification

Dynamic graph and polynomial chaos based models for contact tracing data analysis and optimal testing prescription
- - Shashanka Ubaru
  - Lior Horesh
  - et al.
- 2021
- Journal of Biomedical Informatics
Adaptive Conformal Regression with Split-Jackknife+ Scores
- - Nicolas Deutschmann
  - Mattia Rigotti
  - et al.
- 2024
- TMLR
MC Layer Normalization for calibrated uncertainty in Deep Learning
- - Thomas Frick
  - Diego Antognini
  - et al.
- 2024
- TMLR
Effective generation of compressed stationary Gaussian fields
- - Robert Manson Sawko
  - Malgorzata Zimon
- 2022
- SIAM/ASA JUQ
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
- - Richard Tomsett
  - Alun Preece
  - et al.
- 2020
- Patterns