Christopher Yau

BMC Bioinform., December, 2024

Correction: Completing a genomic characterisation of microscopic tumour samples with copy number.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2024

Disentangling shared and private latent factors in multimodal Variational Autoencoders.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Completing a genomic characterisation of microscopic tumour samples with copy number.

[BibT_eX]

[DOI]

BMC Bioinform., December, 2023

Rarity: discovering rare cell populations from single-cell imaging data.

[BibT_eX]

[DOI]

Michele Bortolomeazzi

Lucia Montorsi

Jo Spencer

Francesca D. Ciccarelli

Bioinform., December, 2023

On the Difficulty of Predicting Engagement with Digital Health for Substance Use.

[BibT_eX]

[DOI]

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

2022

A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Feature Allocation Approach for Multimorbidity Trajectory Modelling.

[BibT_eX]

[DOI]

Woojung Kim

Paul A. Jenkins

Krishnarajah Nirantharakumar

Proceedings of the Machine Learning for Health, 2022

mmVAE: multimorbidity clustering using Relaxed Bernoulli β-Variational Autoencoders.

[BibT_eX]

[DOI]

Charles Gadd

Proceedings of the Machine Learning for Health, 2022

Derivative-Based Neural Modelling of Cumulative Distribution Functions for Survival Analysis.

[BibT_eX]

[DOI]

Dominic Danks

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Multi-Facet Clustering Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders.

[BibT_eX]

[DOI]

Dominic Danks

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

BasisVAE: Translation-invariant feature-level clustering with Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Neural Decomposition: Functional ANOVA with Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Bayesian Nonparametric Boolean Factor Models.

[BibT_eX]

[DOI]

CoRR, 2019

A descriptive marker gene approach to single-cell pseudotime inference.

[BibT_eX]

[DOI]

Bioinform., 2019

Decomposing feature-level variation with Covariate Gaussian Process Latent Variable Models.

[BibT_eX]

[DOI]

Proceedings of the 36th International Conference on Machine Learning, 2019

Augmented Ensemble MCMC sampling in Factorial Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018

Covariate Gaussian Process Latent Variable Models.

[BibT_eX]

[DOI]

CoRR, 2018

TensOrMachine: Probabilistic Boolean Tensor Decomposition.

[BibT_eX]

[DOI]

CoRR, 2018

Probabilistic Boolean Tensor Decomposition.

[BibT_eX]

[DOI]

Proceedings of the 35th International Conference on Machine Learning, 2018

MixDir: Scalable Bayesian Clustering for High-Dimensional Categorical Data.

[BibT_eX]

[DOI]

Constantin Ahlmann-Eltze

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017

switchde: inference of switch-like differential expression along single-cell trajectories.

[BibT_eX]

[DOI]

Bioinform., 2017

Testing and Learning on Distributions with Symmetric Noise Invariance.

[BibT_eX]

[DOI]

Ho Chung Leon Law

Dino Sejdinovic

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Bayesian Boolean Matrix Factorisation.

[BibT_eX]

[DOI]

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Order Under Uncertainty: Robust Differential Expression Analysis Using Probabilistic Models for Pseudotime Inference.

[BibT_eX]

[DOI]

PLoS Comput. Biol., 2016

pcaReduce: hierarchical clustering of single cell transcriptional profiles.

[BibT_eX]

[DOI]

Justina Zurauskiene

BMC Bioinform., 2016

2014

Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

2013

Statistical Inference in Hidden Markov Models using $k$-segment Constraints.

[BibT_eX]

[DOI]

CoRR, 2013

OncoSNP-SEQ: a statistical approach for the identification of somatic copy number alterations from next-generation sequencing of cancer genomes.

[BibT_eX]

[DOI]

Bioinform., 2013

NucleoFinder: a statistical approach for the detection of nucleosome positions.

[BibT_eX]

[DOI]

Jeremie Becker

John M. Hancock

Bioinform., 2013

2008

GenoSNP: a variational Bayes within-sample SNP genotyping algorithm that does not require a reference population.

[BibT_eX]

[DOI]

Bioinform., 2008

2007

Quantitative Image Analysis of Chromosome Dynamics in Early Drosophila Embryos.

[BibT_eX]

[DOI]