2 citations · 4 across the 10 of their papers we have counts for
Showing 2025Show all
2 papers · 1 filter
cs.LG2025
Contrastive Entropy Bounds for Density and Conditional Density Decomposition
Bo Hu, Jose C. Principe
This paper studies the interpretability of neural network features from a Bayesian Gaussian view, where optimizing a cost is reaching a probabilistic bound; learning a model approx…
cs.LG2025
A Simple and Effective Method for Uncertainty Quantification and OOD Detection
Yaxin Ma, Benjamin Colburn, Jose C. Principe
Bayesian neural networks and deep ensemble methods have been proposed for uncertainty quantification; however, they are computationally intensive and require large storage. By util…