Christopher Yau

51 papers A* 7A 4B 1Journal 30Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A transformer-based survival model for prediction of all-cause mortality in patients with heart failure: a multi-cohort study. npj Digit. Medicine 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
2026	J	`jnl`	Bootstrapping-based Regularisation for Reducing Individual Prediction Instability in Clinical Risk Prediction Models. CoRR Sara Matijevic, Christopher Yau
2026	A*	`conf`	Hybrid Restricted Master Problem for Boolean Matrix Factorisation. AAAI Ellen Visscher, Michael Forbes, Christopher Yau
2026	J	`jnl`	Multimodal Survival Analysis with Locally Deployable Large Language Models. CoRR Moritz Gögl, Christopher Yau
2026	J	`jnl`	VAE-MS: An Asymmetric Variational Autoencoder for Mutational Signature Extraction. CoRR Ida Egendal, Rasmus Froberg Brøndum, Dan J. Woodcock, Christopher Yau, Martin Bøgsted
2026	J	`jnl`	Var-JEPA: A Variational Formulation of the Joint-Embedding Predictive Architecture - Bridging Predictive and Generative Self-Supervised Learning. CoRR Moritz Gögl, Christopher Yau
2025	J	`jnl`	A Transformer-based survival model for prediction of all-cause mortality in heart failure patients: a multi-cohort study. CoRR 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
2025	J	`jnl`	Continual learning via probabilistic exchangeable sequence modelling. CoRR Hanwen Xing, Christopher Yau
2025	J	`jnl`	Continual learning via probabilistic exchangeable sequence modelling. Trans. Mach. Learn. Res. Hanwen Xing, Christopher Yau
2024	J	`jnl`	Bayesian inference for identifying tumour-specific cancer dependencies through integration of ex-vivo drug response assays and drug-protein profiling. BMC Bioinform. Hanwen Xing, Christopher Yau
2024	J	`jnl`	Correction: Completing a genomic characterisation of microscopic tumour samples with copy number. BMC Bioinform. Joel Nulsen, Nosheen Hussain, Aws Al-Deka, Jason Yap, Khalil Uddin, Christopher Yau, Ahmed Ashour Ahmed
2024	J	`jnl`	Disentangling shared and private latent factors in multimodal Variational Autoencoders. CoRR Kaspar Märtens, Christopher Yau
2024	—	`conf`	Mixed Type Multimorbidity Variational Autoencoder: A Deep Generative Model for Multimorbidity Analysis. MLHC Woojung Kim, Paul A. Jenkins, Christopher Yau
2024	—	`conf`	Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles. MLCB Charles Gadd, Christopher Yau
2024	J	`jnl`	Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles. CoRR Charles Gadd, Christopher Yau
2023	J	`jnl`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. CoRR Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2023	J	`jnl`	Completing a genomic characterisation of microscopic tumour samples with copy number. BMC Bioinform. Joel Nulsen, Nosheen Hussain, Aws Al-Deka, Jason Yap, Khalil Uddin, Christopher Yau, Ahmed Ashour Ahmed
2023	—	`conf`	Disentangling shared and private latent factors in multimodal Variational Autoencoders. MLCB Kaspar Märtens, Christopher Yau
2023	—	`conf`	On the Difficulty of Predicting Engagement with Digital Health for Substance Use. MIE Franziska Günther, Christopher Yau, Sarah Elison-Davies, David Wong
2023	J	`jnl`	Rarity: discovering rare cell populations from single-cell imaging data. Bioinform. Kaspar Märtens, Michele Bortolomeazzi, Lucia Montorsi, Jo Spencer, Francesca D. Ciccarelli, Christopher Yau
2022	A*	`conf`	A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs. NeurIPS Fabian Falck, Christopher Williams, Dominic Danks, George Deligiannidis, Christopher Yau, Chris C. Holmes, Arnaud Doucet, Matthew Willetts
2022	A	`conf`	Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. AISTATS Dominic Danks, Christopher Yau
2022	—	`conf`	Feature Allocation Approach for Multimorbidity Trajectory Modelling. ML4H@NeurIPS Woojung Kim, Paul A. Jenkins, Christopher Yau
2022	—	`conf`	mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders. ML4H@NeurIPS Charles Gadd, Krishnarajah Nirantharakumar, Christopher Yau
2021	A*	`conf`	BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. ICML Dominic Danks, Christopher Yau
2021	A*	`conf`	Multi-Facet Clustering Variational Autoencoders. NeurIPS Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes
2021	J	`jnl`	Multi-Facet Clustering Variational Autoencoders. CoRR Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes
2020	A	`conf`	BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. AISTATS Kaspar Märtens, Christopher Yau
2020	J	`jnl`	BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. CoRR Kaspar Märtens, Christopher Yau
2020	A	`conf`	Neural Decomposition: Functional ANOVA with Variational Autoencoders. AISTATS Kaspar Märtens, Christopher Yau
2020	J	`jnl`	Neural Decomposition: Functional ANOVA with Variational Autoencoders. CoRR Kaspar Märtens, Christopher Yau
2019	J	`jnl`	A descriptive marker gene approach to single-cell pseudotime inference. Bioinform. Kieran R. Campbell, Christopher Yau
2019	A	`conf`	Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. AISTATS Kaspar Märtens, Michalis K. Titsias, Christopher Yau
2019	J	`jnl`	Bayesian Nonparametric Boolean Factor Models. CoRR Tammo Rukat, Christopher Yau
2019	A*	`conf`	Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. ICML Kaspar Märtens, Kieran R. Campbell, Christopher Yau
2018	J	`jnl`	Covariate Gaussian Process Latent Variable Models. CoRR Kaspar Märtens, Kieran R. Campbell, Christopher Yau
2018	B	`conf`	MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. DSAA Constantin Ahlmann-Eltze, Christopher Yau
2018	A*	`conf`	Probabilistic Boolean Tensor Decomposition. ICML Tammo Rukat, Christopher C. Holmes, Christopher Yau
2018	J	`jnl`	TensOrMachine: Probabilistic Boolean Tensor Decomposition. CoRR Tammo Rukat, Christopher C. Holmes, Christopher Yau
2017	A*	`conf`	Bayesian Boolean Matrix Factorisation. ICML Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
2017	J	`jnl`	Bayesian Boolean Matrix Factorisation. CoRR Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau
2017	—	`conf`	Testing and Learning on Distributions with Symmetric Noise Invariance. NIPS Ho Chung Leon Law, Christopher Yau, Dino Sejdinovic
2017	J	`jnl`	switchde: inference of switch-like differential expression along single-cell trajectories. Bioinform. Kieran R. Campbell, Christopher Yau
2016	J	`jnl`	Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference. PLoS Comput. Biol. Kieran R. Campbell, Christopher Yau
2016	J	`jnl`	pcaReduce: hierarchical clustering of single cell transcriptional profiles. BMC Bioinform. Justina Zurauskiene, Christopher Yau
2014	—	`conf`	Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models. NIPS Michalis K. Titsias, Christopher Yau
2013	J	`jnl`	NucleoFinder: a statistical approach for the detection of nucleosome positions. Bioinform. Jérémie Becker, Christopher Yau, John M. Hancock, Christopher C. Holmes
2013	J	`jnl`	OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomes. Bioinform. Christopher Yau
2013	J	`jnl`	Statistical Inference in Hidden Markov Models using $k$-segment Constraints. CoRR Michalis K. Titsias, Christopher Yau, Christopher C. Holmes
2008	J	`jnl`	GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population. Bioinform. Eleni Giannoulatou, Christopher Yau, Stefano Colella, Jiannis Ragoussis, Christopher C. Holmes
2007	—	`conf`	Quantitative Image Analysis of Chromosome Dynamics in Early Drosophila Embryos. ISBI Christopher Yau, James Wakefield