Christopher Yau

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 33

Top Topics

Gaussian Process Latent Variable Models

Bayesian Nonparametric

Top Venues

Publications

Joel Nulsen, Nosheen Hussain, Aws Al-Deka, Jason Yap, Khalil Uddin, Christopher Yau, Ahmed Ashour Ahmed
Correction: Completing a genomic characterisation of microscopic tumour samples with copy number. BMC Bioinform. 25 (1) (2024)
Kaspar Märtens, Christopher Yau
Disentangling shared and private latent factors in multimodal Variational Autoencoders. CoRR (2024)
Hanwen Xing, Christopher Yau
Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. BMC Bioinform. 25 (1) (2024)
Joel Nulsen, Nosheen Hussain, Aws Al-Deka, Jason Yap, Khalil Uddin, Christopher Yau, Ahmed Ashour Ahmed
Completing a genomic characterisation of microscopic tumour samples with copy number. BMC Bioinform. 24 (1) (2023)
Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, Jo Spencer, Francesca D. Ciccarelli, Christopher Yau
Rarity: discovering rare cell populations from single-cell imaging data. Bioinform. 39 (12) (2023)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR (2023)
Kaspar Märtens, Christopher Yau
Disentangling shared and private latent factors in multimodal Variational Autoencoders. MLCB (2023)
Franziska Günther, Christopher Yau, Sarah Elison-Davies, David Wong
On the Difficulty of Predicting Engagement with Digital Health for Substance Use. MIE (2023)
Dominic Danks, Christopher Yau
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. AISTATS (2022)
Woojung Kim, Paul A. Jenkins, Christopher Yau
Feature Allocation Approach for Multimorbidity Trajectory Modelling. ML4H@NeurIPS (2022)
Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS (2022)
Charles Gadd, Krishnarajah Nirantharakumar, Christopher Yau
mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders. ML4H@NeurIPS (2022)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes
Multi-Facet Clustering Variational Autoencoders. CoRR (2021)
Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes
Multi-Facet Clustering Variational Autoencoders. NeurIPS (2021)
Dominic Danks, Christopher Yau
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. ICML (2021)
Kaspar Märtens, Christopher Yau
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. AISTATS (2020)
Kaspar Märtens, Christopher Yau
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. CoRR (2020)
Kaspar Märtens, Christopher Yau
Neural Decomposition: Functional ANOVA with Variational Autoencoders. AISTATS (2020)
Kaspar Märtens, Christopher Yau
Neural Decomposition: Functional ANOVA with Variational Autoencoders. CoRR (2020)
Tammo Rukat, Christopher Yau
Bayesian Nonparametric Boolean Factor Models. CoRR (2019)
Kaspar Märtens, Michalis K. Titsias, Christopher Yau
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. AISTATS (2019)
Kaspar Märtens, Kieran R. Campbell, Christopher Yau
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. ICML (2019)
Kieran R. Campbell, Christopher Yau
A descriptive marker gene approach to single-cell pseudotime inference. Bioinform. 35 (1) (2019)
Tammo Rukat, Christopher C. Holmes, Christopher Yau
Probabilistic Boolean Tensor Decomposition. ICML (2018)
Tammo Rukat, Christopher C. Holmes, Christopher Yau
TensOrMachine: Probabilistic Boolean Tensor Decomposition. CoRR (2018)
Constantin Ahlmann-Eltze, Christopher Yau
MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. DSAA (2018)
Kaspar Märtens, Kieran R. Campbell, Christopher Yau
Covariate Gaussian Process Latent Variable Models. CoRR (2018)
Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
Bayesian Boolean Matrix Factorisation. ICML (2017)
Ho Chung Leon Law, Christopher Yau, Dino Sejdinovic
Testing and Learning on Distributions with Symmetric Noise Invariance. NIPS (2017)
Kieran R. Campbell, Christopher Yau
switchde: inference of switch-like differential expression along single-cell trajectories. Bioinform. 33 (8) (2017)
Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
Bayesian Boolean Matrix Factorisation. CoRR (2017)
Justina Zurauskiene, Christopher Yau
pcaReduce: hierarchical clustering of single cell transcriptional profiles. BMC Bioinform. 17 (2016)
Kieran R. Campbell, Christopher Yau
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference. PLoS Comput. Biol. 12 (11) (2016)
Michalis K. Titsias, Christopher Yau
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models. NIPS (2014)
Michalis K. Titsias, Christopher Yau, Christopher C. Holmes
Statistical Inference in Hidden Markov Models using $k$-segment Constraints. CoRR (2013)
Christopher Yau
OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomes. Bioinform. 29 (19) (2013)
Jeremie Becker, Christopher Yau, John M. Hancock, Christopher C. Holmes
NucleoFinder: a statistical approach for the detection of nucleosome positions. Bioinform. 29 (6) (2013)
Eleni Giannoulatou, Christopher Yau, Stefano Colella, Jiannis Ragoussis, Christopher C. Holmes
GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population. Bioinform. 24 (19) (2008)
Christopher Yau, James Wakefield
Quantitative Image Analysis of Chromosome Dynamics in Early Drosophila Embryos. ISBI (2007)