Yau Research Group
Yau Research Group
About
News
People
Projects
Publications
Contact
Paper-Conference
Basisdevae: Interpretable simultaneous dimensionality reduction and feature-level clustering with derivative-based variational autoencoders
Dominic Danks
,
Christopher Yau
Cite
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders
Kaspar Märtens
,
Christopher Yau
Cite
Exploiting VDJ recombination of T cells to dissect the anti-cancer immune interactions in T cell lymphoma
D Murray
,
S Eldershaw
,
H Pearce
,
C Yau
,
J Scarisbrick
,
P Moss
Cite
Neural decomposition: Functional anova with variational autoencoders
Kaspar Märtens
,
Christopher Yau
Cite
Augmented ensemble mcmc sampling in factorial hidden markov models
Kaspar Märtens
,
Michalis Titsias
,
Christopher Yau
Cite
Decomposing feature-level variation with covariate Gaussian process latent variable models
Kaspar Märtens
,
Kieran Campbell
,
Christopher Yau
Cite
MixDir: scalable Bayesian clustering for high-dimensional categorical data
Constantin Ahlmann-Eltze
,
Christopher Yau
Cite
Probabilistic Boolean Tensor Decomposition
Tammo Rukat
,
Chris Holmes
,
Christopher Yau
Cite
Bayesian boolean matrix factorisation
Tammo Rukat
,
Chris C Holmes
,
Michalis K Titsias
,
Christopher Yau
Cite
Comprehensive genome-wide analysis of CLL samples from UK 1st line and relapsed/refractory clinical trials
P Robbe
,
R Clifford
,
A Timbs
,
A Burns
,
M Titsias
,
M Cabes
,
R Alsolami
,
N Khalid
,
S Henderson
,
J Taylor
,
Others
Cite
«
»
Cite
×