Publications
Jacob, P. et al. (no date) “Better together? Statistical learning in models made of modules.”
Kosiorek, A. et al. (no date) “Sequential Attend, Infer, Repeat: Generative Modelling of Moving Objects”, in.
Lee, J. et al. (no date) “Set Transformer: A Framework for Attention-based Permutation-Invariant Neural Networks.”
Holmes, C. and Mallick, B. (no date) “Bayesian wavelet networks for nonparametric regression”, IEEE Transactions on Neural Networks, 11(1), pp. 27–35.
Vollmer, S. et al. (no date) “Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.”
Rao, D. et al. (no date) “Continual Unsupervised Representation Learning.”
Teh, Y., Elliott, L. and Blundell, C. (no date) “Bayesian Nonparametric Modelling of Genetic Variations using Fragmentation-Coagulation”, Journal of Machine Learning Research [Preprint].
Foster, A. et al. (no date) “Variational Bayesian Optimal Experimental Design.”
Mathieu, E. et al. (no date) “Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders.”