Counting the Number of Optimal Solutions in Graphical Models
- Radu Marinescu
- Rina Dechter
- 2019
- NeurIPS 2019
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72 results for Uncertainty Quantification
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
k-Sliced Mutual Information: A Quantitative Study of Scalability with Dimension
- Ziv Goldfeld
- Kristjan Greenewald
- et al.
- 2022
- NeurIPS 2022
Toward Human-AI Co-creation to Accelerate Material Discovery
- Dmitry Zubarev
- Carlos Raoni De Alencar Mendes
- et al.
- 2022
- NeurIPS 2022
Surrogate Ensemble Forecasting for Dynamic Climate Impact Models
- Julian Kuehnert
- Deborah MCGlynn
- et al.
- 2022
- ICLR 2022
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Uncertainty Analysis in Predicting Molecular Properties Using Chemical Foundation Models
- Siya Kunde
- Emilio Ashton Vital Brazil
- et al.
- 2025
- AAAI 2025
Consistency-based Black-box Uncertainty Quantification for Text-to-SQL
- Debarun Bhattacharjya
- Balaji Ganesan
- et al.
- 2024
- NeurIPS 2024
Estimating Fréchet bounds for validating programmatic weak supervision
- Felipe Maia Polo
- Mikhail Yurochkin
- et al.
- 2023
- NeurIPS 2023
Sequential data-consistent model inversion
- Tim Rumbell
- Catherine Wanjiru
- et al.
- 2023
- NeurIPS 2023