Search Results for author: Guillaume Damblin

Found 1 papers, 0 papers with code

Multivariate Bayesian Last Layer for Regression: Uncertainty Quantification and Disentanglement

no code implementations2 May 2024 Han Wang, Eiji Kawasaki, Guillaume Damblin, Geoffrey Daniel

We present new Bayesian Last Layer models in the setting of multivariate regression under heteroscedastic noise, and propose an optimization algorithm for parameter learning.

Disentanglement regression +1

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