Leveraging Locality and Robustness to Achieve Massively Scalable Gaussian Process Regression
- Robert Alison
- Anthony Stephenson
- et al.
- 2023
- NeurIPS 2023
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75 results for Uncertainty Quantification
Sequential data-consistent model inversion
- Tim Rumbell
- Catherine Wanjiru
- et al.
- 2023
- NeurIPS 2023
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Predicting Question-Answering Performance of Large Language Models through Semantic Consistency
- Ella Rabinovich
- Samuel Ackerman
- et al.
- 2023
- EMNLP 2023
Formulation Graphs for Mapping Structure-Composition of Battery Electrolytes to Device Performance
- 2023
- J. Chem. Inf. Model.
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Knowledge from Uncertainty in Evidential Deep Learning
- Cai Davies
- Marc Roig Vilamala
- et al.
- 2023
- KDD 2023
Proper Scoring Rules for Survival Analysis
- Hiroki Yanagisawa
- 2023
- ICML 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- Hanjing Wang
- Dhiraj Joshi
- et al.
- 2023
- CVPR 2023
AI for Climate Impacts: Applications in Flood Risk
- Anne Jones
- Julian Kuehnert
- et al.
- 2023
- NPJ Clim. Atmos. Sci.