Combining Data and Theory for Derivable Scientific Discovery with AI-Descartes
- Cristina Cornelio
- Sanjeeb Dash
- et al.
- 2023
- Nature Communications
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70 results for Uncertainty Quantification
Optimization with Constraint Learning
- S. Ilker Birbil
- Donato Maragno
- et al.
- 2023
- AAAI 2023
Active learning of deep surrogates for PDEs: application to metasurface design
- Raphaël Pestourie
- Youssef Mroueh
- et al.
- 2020
- npj Computational Materials
Generative Perturbation Analysis for Probabilistic Black-Box Anomaly Attribution
- Tsuyoshi Idé
- Naoki Abe
- 2023
- KDD 2023
Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning
- Hanjing Wang
- Dhiraj Joshi
- et al.
- 2023
- CVPR 2023
Convex Bounds on the Softmax Function with Applications to Robustness Verification
- Dennis Wei
- Haoze Wu
- et al.
- 2023
- AISTATS 2023
Uncertainty as a Form of Transparency: Measuring, Communicating, and Using Uncertainty
- Umang Bhatt
- Javier Antorán
- et al.
- 2021
- AIES 2021
Identifying Homogeneous and Interpretable Groups for Conformal Prediction
- Natalia Martinez Gil
- Dhaval Patel
- et al.
- 2024
- UAI 2024
Quantifying Representation Reliability in Self-Supervised Learning Models
- Young Jin Park
- Hao Wang
- et al.
- 2024
- UAI 2024
Group Fairness with Uncertain Sensitive Attributes
- Abhin Shah
- Maohao Shen
- et al.
- 2024
- ISIT 2024