Sequential data-consistent model inversion
- Tim Rumbell
- Catherine Wanjiru
- et al.
- 2023
- NeurIPS 2023
Publications
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70 results for Uncertainty Quantification
On the impact of small-data diversity on forecasts: evidence from meteorologically-driven electricity demand in Mediterranean zones.
- Reginald Eugene Bryant
- Julian Kuehnert
- 2023
- ICLR 2023
Knowledge-augmented Risk Assessment (KaRA): a hybrid-intelligence framework for supporting knowledge-intensive risk assessment of prospect candidate
- Carlos Raoni De Alencar Mendes
- Emilio Ashton Vital Brazil
- et al.
- 2023
- AAAI 2023
Are you using test log-likelihoods correctly?
- Sameer Deshpande
- Soumya Ghosh
- et al.
- 2022
- NeurIPS 2022
Consistent Training via Energy-Based GFlowNets for Modeling Discrete Joint Distributions
- Chanakya Ekbote
- Moksh Jain
- et al.
- 2022
- NeurIPS 2022
ChromFormer: A transformer-based model for 3D genome structure prediction
- Henry Valeyre
- Pushpak Pati
- et al.
- 2022
- NeurIPS 2022
Assessment of Prediction Intervals Using Uncertainty Characteristics Curves
- Jiri Navratil
- Benjamin Elder
- et al.
- 2022
- ICML 2022
Addressing Solution Quality in Data-generated Optimization Models
- 2022
- AAAI 2022
S3RP: Self-Supervised Super-Resolution and Prediction for Advection-Diffusion Process
- Chulin Wang
- Kyongmin Yeo
- et al.
- 2021
- NeurIPS 2021
Combining human cell line transcriptome analysis and Bayesian inference to build trustworthy machine learning models for prediction of animal toxicity in drug development
- 2019
- NeurIPS 2019