#
tmlr
Here are 5 public repositories matching this topic...
Official code for "ZigZag: Universal Sampling-free Uncertainty Estimation Through Two-Step Inference" (TMLR 2024)
computer-vision
deep-learning
neural-network
pytorch
uncertainty
bayesian-inference
uncertainty-quantification
uncertainty-estimation
icml
robustness
tmlr
tmlr-2024
icml-2024
-
Updated
Nov 7, 2024 - Jupyter Notebook
-
Updated
Oct 7, 2022 - Jupyter Notebook
Code for 'Transport with Support: Data-Conditional Diffusion Bridges'
-
Updated
Nov 24, 2023 - Python
Improve this page
Add a description, image, and links to the tmlr topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the tmlr topic, visit your repo's landing page and select "manage topics."