David A. Knowles
Orcid: 0000-0002-7408-146XAffiliations:
- New York Genome Center, New York City, NY, USA
- Columbia University, New York City, NY, USA
- Stanford University, Department of Computer Science, Stanford, CA, USA
- University of Cambridge, Department of Engineering , UK (PhD)
According to our database1,
David A. Knowles
authored at least 34 papers
between 2007 and 2025.
Collaborative distances:
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Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on nygenome.org
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on linkedin.com
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on twitter.com
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on orcid.org
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on github.com
On csauthors.net:
Bibliography
2025
CoRR, January, 2025
Vector embeddings by sequence similarity and context for improved compression, similarity search, clustering, organization, and manipulation of cDNA libraries.
Comput. Biol. Chem., 2025
2024
DIISCO: A Bayesian Framework for Inferring Dynamic Intercellular Interactions from Time-Series Single-Cell Data.
Proceedings of the Research in Computational Molecular Biology, 2024
Disentangling Interpretable Factors with Supervised Independent Subspace Principal Component Analysis.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
2023
Bioinform., February, 2023
Investigating RNA splicing as a source of cellular diversity using a binomial mixture model.
Proceedings of the Machine Learning in Computational Biology, November 30, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Deep mendelian randomization: Investigating the causal knowledge of genomic deep learning models.
PLoS Comput. Biol., October, 2022
2020
CoRR, 2020
2019
Sparse discriminative latent characteristics for predicting cancer drug sensitivity from genomic features.
PLoS Comput. Biol., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
IEEE Trans. Pattern Anal. Mach. Intell., 2015
An Empirical Study of Stochastic Variational Algorithms for the Beta Bernoulli Process.
CoRR, 2015
Proceedings of the 12th IEEE International Symposium on Biomedical Imaging, 2015
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process.
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
2012
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
2010
Nonparametric Bayesian Sparse Factor Models with application to Gene Expression modelling
CoRR, 2010
2009
Large Scale Nonparametric Bayesian Inference: Data Parallelisation in the Indian Buffet Process.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
2007
Proceedings of the Independent Component Analysis and Signal Separation, 2007