Publications

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.”

Kafkafi, N. et al. (no date) “Reproducibility and replicability of rodent phenotyping in preclinical studies”, bioRxiv.

Coleman, S. et al. (no date) “Semi-supervised Bayesian integration of multiple spatial proteomics datasets”, bioRxiv.

Fang, S. et al. (no date) “A Bayesian Semi-Parametric Model for Thermal Proteome Profiling”, Research Square.

Jacob, P. et al. (no date) “Better together? Statistical learning in models made of modules.”

Mathieu, E. et al. (no date) “Continuous Hierarchical Representations with Poincaré Variational Auto-Encoders.”

Maddison, C. et al. (no date) “Hamiltonian Descent Methods.”

Gunnarsson, Á. and Teh, Y. (no date) “Scalable approaches to inference and analysis of genome-wide genealogies.”