Post-hoc Uncertainty Learning using a Dirichlet Meta-Model
- Maohao Shen
- Yuheng Bu
- et al.
- 2023
- AAAI 2023
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82 results for Prasanna Sattigeri
Chi-square Information for Invariant Learning
- Prasanna Sattigeri
- Soumya Ghosh
- et al.
- 2020
- ICML 2020
Value Alignment from Unstructured Text
- 2024
- NeurIPS 2024
Facilitating Human-LLM Collaboration through Factuality Scores and Source Attributions
- Hyo Jin Do
- Rachel Ostrand
- et al.
- 2024
- CHI 2024
Influence Based Approaches to Algorithmic Fairness: A Closer Look
- Soumya Ghosh
- Prasanna Sattigeri
- et al.
- 2023
- NeurIPS 2023
Simulating Iterative Human-AI Interaction in Programming with LLMs
- Hussein Mozannar
- Valerie Chen
- et al.
- 2023
- NeurIPS 2023
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling
- Qidong Yang
- Paula Harder
- et al.
- 2023
- ICLR 2023
Generating physically-consistent high-resolution climate data with hard-constrained neural networks
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Physics-Constrained Deep Learning for Climate Downscaling
- Paula Harder
- Qidong Yang
- et al.
- 2022
- NeurIPS 2022
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
- Jiri Navratil
- Benjamin Elder
- et al.
- 2022
- ICML 2022