Quantitative Image Analysis of Chromosome Dynamics in Early Drosophila Embryos. - Christopher Yau; James Wakefield (ISBI, 2007)

GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population. - Eleni Giannoulatou; Christopher Yau; Stefano Colella; Jiannis Ragoussis; Christopher C. Holmes (Bioinform., 2008)

NucleoFinder: a statistical approach for the detection of nucleosome positions. - Jérémie Becker; Christopher Yau; John M. Hancock; Christopher C. Holmes (Bioinform., 2013)

OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomes. - Christopher Yau (Bioinform., 2013)

Statistical Inference in Hidden Markov Models using $k$-segment Constraints. - Michalis K. Titsias; Christopher Yau; Christopher C. Holmes (CoRR, 2013)

Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models. - Michalis K. Titsias; Christopher Yau (NIPS, 2014)

pcaReduce: hierarchical clustering of single cell transcriptional profiles. - Justina Zurauskiene; Christopher Yau (BMC Bioinform., 2016)

Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference. - Kieran R. Campbell; Christopher Yau (PLoS Comput. Biol., 2016)

Bayesian Boolean Matrix Factorisation. - Tammo Rukat; Christopher C. Holmes; Michalis K. Titsias; Christopher Yau (ICML, 2017)

Testing and Learning on Distributions with Symmetric Noise Invariance. - Ho Chung Leon Law; Christopher Yau; Dino Sejdinovic (NIPS, 2017)

switchde: inference of switch-like differential expression along single-cell trajectories. - Kieran R. Campbell; Christopher Yau (Bioinform., 2017)

MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. - Constantin Ahlmann-Eltze; Christopher Yau (DSAA, 2018)

Probabilistic Boolean Tensor Decomposition. - Tammo Rukat; Christopher C. Holmes; Christopher Yau (ICML, 2018)

TensOrMachine: Probabilistic Boolean Tensor Decomposition. - Tammo Rukat; Christopher C. Holmes; Christopher Yau (CoRR, 2018)

Covariate Gaussian Process Latent Variable Models. - Kaspar Märtens; Kieran R. Campbell; Christopher Yau (CoRR, 2018)

Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. - Kaspar Märtens; Michalis K. Titsias; Christopher Yau (AISTATS, 2019)

Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. - Kaspar Märtens; Kieran R. Campbell; Christopher Yau (ICML, 2019)

A descriptive marker gene approach to single-cell pseudotime inference. - Kieran R. Campbell; Christopher Yau (Bioinform., 2019)

Bayesian Nonparametric Boolean Factor Models. - Tammo Rukat; Christopher Yau (CoRR, 2019)

Neural Decomposition: Functional ANOVA with Variational Autoencoders. - Kaspar Märtens; Christopher Yau (AISTATS, 2020)

BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. - Kaspar Märtens; Christopher Yau (AISTATS, 2020)

BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. - Dominic Danks; Christopher Yau (ICML, 2021)

Multi-Facet Clustering Variational Autoencoders. - Fabian Falck; Haoting Zhang; Matthew Willetts; George Nicholson; Christopher Yau; Chris C. Holmes (NeurIPS, 2021)

Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. - Dominic Danks; Christopher Yau (AISTATS, 2022)

mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders. - Charles Gadd; Krishnarajah Nirantharakumar; Christopher Yau (ML4H@NeurIPS, 2022)

Feature Allocation Approach for Multimorbidity Trajectory Modelling. - Woojung Kim; Paul A. Jenkins; Christopher Yau (ML4H@NeurIPS, 2022)

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. - Fabian Falck; Christopher Williams; Dominic Danks; George Deligiannidis; Christopher Yau; Chris C. Holmes; Arnaud Doucet; Matthew Willetts (NeurIPS, 2022)

On the Difficulty of Predicting Engagement with Digital Health for Substance Use. - Franziska Günther; Christopher Yau; Sarah Elison-Davies; David Wong 001 (MIE, 2023)

Disentangling shared and private latent factors in multimodal Variational Autoencoders. - Kaspar Märtens; Christopher Yau (MLCB, 2023)

Rarity: discovering rare cell populations from single-cell imaging data. - Kaspar Märtens; Michele Bortolomeazzi; Lucia Montorsi; Jo Spencer; Francesca D. Ciccarelli; Christopher Yau (Bioinform., 2023)

Completing a genomic characterisation of microscopic tumour samples with copy number. - Joel Nulsen; Nosheen Hussain; Aws Al-Deka; Jason Yap; Khalil Uddin; Christopher Yau; Ahmed Ashour Ahmed (BMC Bioinform., 2023)

Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles. - Charles Gadd; Christopher Yau (MLCB, 2024)

Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis. - Woojung Kim; Paul A. Jenkins; Christopher Yau (MLHC, 2024)

Correction: Completing a genomic characterisation of microscopic tumour samples with copy number. - Joel Nulsen; Nosheen Hussain; Aws Al-Deka; Jason Yap; Khalil Uddin; Christopher Yau; Ahmed Ashour Ahmed (BMC Bioinform., 2024)

Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. - Hanwen Xing; Christopher Yau (BMC Bioinform., 2024)

A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study. - Shishir Rao; Nouman Ahmed; Gholamreza Salimi-Khorshidi; Christopher Yau; Huimin Su; Nathalie Conrad; Folkert W. Asselbergs; Mark Woodward; Rod Jackson; John G. F. Cleland; Kazem Rahimi (CoRR, 2025)

Continual learning via probabilistic exchangeable sequence modelling. - Hanwen Xing; Christopher Yau (CoRR, 2025)