We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
We address the problem of segmenting high angular resolution diffusion images of the brain into cerebral regions corresponding to distinct white matter fiber bundles. We cast thi...
This research investigates event generalisation in computational episodic memory for artificial companions. Two studies indicated a preference of a biologically-inspired selectiv...
The use of agile principles and practices in software development is becoming a powerful force in today’s workplace. In our quest to develop better products, therefore, it is im...
Shvetha Soundararajan, Amine Chigani, James D. Art...
The study of transportability aims to identify conditions under which causal information learned from experiments can be reused in a different environment where only passive obser...