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2020 – today
- 2024
[j11]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): 20 (2024)- [j10]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): 104 (2024) - [i11]Kaspar Märtens, Christopher Yau:
Disentangling shared and private latent factors in multimodal Variational Autoencoders. CoRR abs/2403.06338 (2024) - [i10]Charles Gadd, Christopher Yau:
Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles. CoRR abs/2408.12636 (2024) - 2023
- [j9]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) - [j8]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): 453 (2023) - [c18]Franziska Günther, Christopher Yau, Sarah Elison-Davies, David Wong:
On the Difficulty of Predicting Engagement with Digital Health for Substance Use. MIE 2023: 967-971 - [c17]Kaspar Märtens, Christopher Yau:
Disentangling shared and private latent factors in multimodal Variational Autoencoders. MLCB 2023: 60-75 - [i9]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 abs/2301.08187 (2023) - 2022
- [c16]Dominic Danks, Christopher Yau:
Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis. AISTATS 2022: 7240-7256 - [c15]Charles Gadd, Krishnarajah Nirantharakumar, Christopher Yau:
mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders. ML4H@NeurIPS 2022: 88-102 - [c14]Woojung Kim, Paul A. Jenkins, Christopher Yau:
Feature Allocation Approach for Multimorbidity Trajectory Modelling. ML4H@NeurIPS 2022: 103-119 - [c13]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 - 2021
- [c12]Dominic Danks, Christopher Yau:
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders. ICML 2021: 2410-2420 - [c11]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Chris C. Holmes:
Multi-Facet Clustering Variational Autoencoders. NeurIPS 2021: 8676-8690 - [i8]Fabian Falck, Haoting Zhang, Matthew Willetts, George Nicholson, Christopher Yau, Christopher C. Holmes:
Multi-Facet Clustering Variational Autoencoders. CoRR abs/2106.05241 (2021) - 2020
- [c10]Kaspar Märtens, Christopher Yau:
Neural Decomposition: Functional ANOVA with Variational Autoencoders. AISTATS 2020: 2917-2927 - [c9]Kaspar Märtens, Christopher Yau:
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. AISTATS 2020: 2928-2937 - [i7]Kaspar Märtens, Christopher Yau:
BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders. CoRR abs/2003.03462 (2020) - [i6]Kaspar Märtens, Christopher Yau:
Neural Decomposition: Functional ANOVA with Variational Autoencoders. CoRR abs/2006.14293 (2020)
2010 – 2019
- 2019
- [j7]Kieran R. Campbell, Christopher Yau:
A descriptive marker gene approach to single-cell pseudotime inference. Bioinform. 35(1): 28-35 (2019) - [c8]Kaspar Märtens, Michalis K. Titsias, Christopher Yau:
Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models. AISTATS 2019: 2359-2367 - [c7]Kaspar Märtens, Kieran R. Campbell, Christopher Yau:
Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models. ICML 2019: 4372-4381 - [i5]Tammo Rukat, Christopher Yau:
Bayesian Nonparametric Boolean Factor Models. CoRR abs/1907.00063 (2019) - 2018
- [c6]Constantin Ahlmann-Eltze, Christopher Yau:
MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data. DSAA 2018: 526-539 - [c5]Tammo Rukat, Christopher C. Holmes, Christopher Yau:
Probabilistic Boolean Tensor Decomposition. ICML 2018: 4410-4419 - [i4]Tammo Rukat, Christopher C. Holmes, Christopher Yau:
TensOrMachine: Probabilistic Boolean Tensor Decomposition. CoRR abs/1805.04582 (2018) - [i3]Kaspar Märtens, Kieran R. Campbell, Christopher Yau:
Covariate Gaussian Process Latent Variable Models. CoRR abs/1810.06983 (2018) - 2017
- [j6]Kieran R. Campbell, Christopher Yau:
switchde: inference of switch-like differential expression along single-cell trajectories. Bioinform. 33(8): 1241-1242 (2017) - [c4]Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau:
Bayesian Boolean Matrix Factorisation. ICML 2017: 2969-2978 - [c3]Ho Chung Leon Law, Christopher Yau, Dino Sejdinovic:
Testing and Learning on Distributions with Symmetric Noise Invariance. NIPS 2017: 1343-1353 - [i2]Tammo Rukat, Christopher C. Holmes, Michalis K. Titsias, Christopher Yau:
Bayesian Boolean Matrix Factorisation. CoRR abs/1702.06166 (2017) - 2016
- [j5]Justina Zurauskiene, Christopher Yau:
pcaReduce: hierarchical clustering of single cell transcriptional profiles. BMC Bioinform. 17: 140 (2016) - [j4]Kieran R. Campbell, Christopher Yau:
Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference. PLoS Comput. Biol. 12(11) (2016) - 2014
- [c2]Michalis K. Titsias, Christopher Yau:
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models. NIPS 2014: 2960-2968 - 2013
- [j3]Jérémie Becker, Christopher Yau, John M. Hancock, Christopher C. Holmes:
NucleoFinder: a statistical approach for the detection of nucleosome positions. Bioinform. 29(6): 711-716 (2013) - [j2]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): 2482-2484 (2013) - [i1]Michalis K. Titsias, Christopher Yau, Christopher C. Holmes:
Statistical Inference in Hidden Markov Models using $k$-segment Constraints. CoRR abs/1311.1189 (2013)
2000 – 2009
- 2008
- [j1]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): 2209-2214 (2008) - 2007
- [c1]Christopher Yau, James Wakefield:
Quantitative Image Analysis of Chromosome Dynamics in Early Drosophila Embryos. ISBI 2007: 264-267
Coauthor Index
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last updated on 2024-11-11 21:27 CET by the dblp team
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