Generalization, defined as applying limited experiences to novel situations, represents a
cornerstone of human intelligence. Our review traces the evolution and continuity of …

From sparse descriptions of events, observers can make systematic and nuanced
predictions of what emotions the people involved will experience. We propose a formal …

Stochastic variational inference and its derivatives in the form of variational autoencoders
enjoy the ability to perform Bayesian inference on large datasets in an efficient manner …

Decision-making problems often occur under uncertainty, encompassing both aleatoric
uncertainty arising from inherent randomness in processes and epistemic uncertainty due to …