Uncertainty in latent representations of variational autoencoders optimized for visual tasks

no code implementations • 23 Apr 2024 • Josefina Catoni, Enzo Ferrante, Diego H. Milone, Rodrigo Echeveste

Deep learning methods are increasingly becoming instrumental as modeling tools in computational neuroscience, employing optimality principles to build bridges between neural responses and perception or behavior.

Bayesian Inference Informativeness +1