2 papers
cs.LG2025
Hi-fi functional priors by learning activations
Marcin Sendera, Amin Sorkhei, Tomasz KuÅmierczyk
Function-space priors in Bayesian Neural Networks (BNNs) provide a more intuitive approach to embedding beliefs directly into the model's output, thereby enhancing regularization,…
cs.LG2025
Revisiting the Equivalence of Bayesian Neural Networks and Gaussian Processes: On the Importance of Learning Activations
Marcin Sendera, Amin Sorkhei, Tomasz KuÅmierczyk
Gaussian Processes (GPs) provide a convenient framework for specifying function-space priors, making them a natural choice for modeling uncertainty. In contrast, Bayesian Neural Ne…