"Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models ..."

Vignesh Gopakumar et al. (2024)

> Home

Details and statistics

DOI: 10.48550/ARXIV.2408.09881

access: open

type: Informal or Other Publication

metadata version: 2024-09-24

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/corr/abs-2408-09881
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/corr/abs-2408-09881
Vignesh Gopakumar, Ander Gray, Joel Oskarsson, Lorenzo Zanisi, Stanislas Pamela, Daniel Giles, Matt Kusner, Marc Peter Deisenroth:
Uncertainty Quantification of Pre-Trained and Fine-Tuned Surrogate Models using Conformal Prediction. CoRR abs/2408.09881 (2024)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.