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Jeffrey Regier
Jeffrey Regier
Assistant Professor, Department of Statistics, University of Michigan
Verified email at umich.edu - Homepage
Title
Cited by
Cited by
Year
Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature Methods 15 (12), 1053, 2018
13682018
Joint probabilistic modeling of single-cell multi-omic data with totalVI
A Gayoso, Z Steier, R Lopez, J Regier, KL Nazor, A Streets, N Yosef
Nature methods 18 (3), 272-282, 2021
2672021
Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models
C Xu, R Lopez, E Mehlman, J Regier, MI Jordan, N Yosef
Molecular systems biology 17 (1), e9620, 2021
2672021
A Python library for probabilistic analysis of single-cell omics data
A Gayoso, R Lopez, G Xing, P Boyeau, V Valiollah Pour Amiri, J Hong, ...
Nature biotechnology 40 (2), 163-166, 2022
2572022
Stochastic cubic regularization for fast nonconvex optimization
N Tripuraneni, M Stern, C Jin, J Regier, MI Jordan
Advances in Neural Information Processing Systems, 2899-2908, 2018
1712018
Information constraints on auto-encoding variational bayes
R Lopez, J Regier, MI Jordan, N Yosef
Advances in neural information processing systems 31, 2018
1292018
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
R Lopez, A Nazaret, M Langevin, J Samaran, J Regier, MI Jordan, ...
arXiv preprint arXiv:1905.02269, 2019
762019
A deep generative model for astronomical images of galaxies
J Regier, J McAuliffe, Prabhat
Neural Informational Processing Systems (NIPS) Workshop: Advances in …, 2015
54*2015
Celeste: Variational Inference for a Generative Model of Astronomical Images
J Regier, A Miller, J McAuliffe, R Adams, M Hoffman, D Lang, D Schlegel
International Conference on Machine Learning (ICML), 2015
402015
Rao-blackwellized stochastic gradients for discrete distributions
R Liu, J Regier, N Tripuraneni, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems, 2018
382018
Decision-making with auto-encoding variational Bayes
R Lopez, P Boyeau, N Yosef, M Jordan, J Regier
Advances in Neural Information Processing Systems 33, 5081-5092, 2020
342020
Fast black-box variational inference through stochastic trust-region optimization
J Regier, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems (NIPS), 2399-2408, 2017
282017
Bayesian inference for a generative model of transcriptome profiles from single-cell RNA sequencing
R Lopez, J Regier, M Cole, M Jordan, N Yosef
bioRxiv, 292037, 2018
272018
Deep generative models for detecting differential expression in single cells
P Boyeau, R Lopez, J Regier, A Gayoso, MI Jordan, N Yosef
bioRxiv, 794289, 2019
192019
An empirical Bayes method for differential expression analysis of single cells with deep generative models
P Boyeau, J Regier, A Gayoso, MI Jordan, R Lopez, N Yosef
Proceedings of the National Academy of Sciences 120 (21), e2209124120, 2023
152023
System and method for retrieving and intelligently grouping definitions found in a repository of documents
J Regier, U Avissar
US Patent 7,747,555, 2010
142010
Variational inference for deblending crowded starfields
R Liu, JD McAuliffe, J Regier, LSST Dark Energy Science Collaboration
Journal of Machine Learning Research 24 (179), 1-36, 2023
132023
Mini-Minimax Uncertainty Quantification for Emulators
JC Regier, PB Stark
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 686–708, 2015
122015
Joint probabilistic modeling of paired transcriptome and proteome measurements in single cells
A Gayoso, Z Steier, R Lopez, J Regier, KL Nazor, A Streets, N Yosef
Biorxiv, 2020.05. 08.083337, 2020
112020
Detecting zero-inflated genes in single-cell transcriptomics data
O Clivio, R Lopez, J Regier, A Gayoso, MI Jordan, N Yosef
bioRxiv, 794875, 2019
112019
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