Deep Classifiers with Label Noise Modeling and Distance Awareness
Neural Variational Gradient Descent
Pathologies in priors and inference for Bayesian transformers
Quantum Bayesian Neural Networks
A Bayesian Approach to Invariant Deep Neural Networks
Annealed Stein Variational Gradient Descent
Exact Langevin Dynamics with Stochastic Gradients
Factorized Gaussian Process Variational Autoencoders
DPSOM: Deep Probabilistic Clustering with Self-Organizing Maps