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Author

Jeffrey Regier

Observed names: Jeffrey C. Regier, Regier, Jeffrey
Observed institutions: Lawrence Berkeley National Laboratory, Princeton University, University of Michigan, Helmholtz Munich, University of Michigan–Flint, Technical University of Munich, Columbia University, University of California, Berkeley
ORCID: 0000-0002-1472-5235
Observed ORCID: 0000-0002-1472-5235
OpenAlex ID: A5060925308
Deep generative modeling for single-cell transcriptomics
2018 · Romain Lopez, Jeffrey Regier, et al. · Nature Methods · 2,498
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A Python library for probabilistic analysis of single-cell omics data
2022 · Adam Gayoso, Romain Lopez, et al. · Nature Biotechnology · 806
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Probabilistic harmonization and annotation of single‐cell transcriptomics data with deep generative models
2021 · Chenling Xu, Romain Lopez, et al. · Molecular Systems Biology · 680
Joint probabilistic modeling of single-cell multi-omic data with totalVI
2021 · Adam Gayoso, Zoë Steier, et al. · Nature Methods · 584
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The scverse project provides a computational ecosystem for single-cell omics data analysis
2023 · Isaac Virshup, Danila Bredikhin, et al. · Nature Biotechnology · 341
Information Constraints on Auto-Encoding Variational Bayes
2018 · Lopez, Romain, Regier, Jeffrey, et al. · arXiv (Cornell University) · 90
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Stochastic Cubic Regularization for Fast Nonconvex Optimization
2017 · Tripuraneni, Nilesh, Stern, Mitchell, et al. · arXiv (Cornell University) · 90
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A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
2019 · Lopez, Romain, Nazaret, Achille, et al. · arXiv (Cornell University) · 55
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An empirical Bayes method for differential expression analysis of single cells with deep generative models
2023 · Pierre Boyeau, Jeffrey Regier, et al. · Proceedings of the National Academy of Sciences · 49
Decision-Making with Auto-Encoding Variational Bayes
2020 · Lopez, Romain, Boyeau, Pierre, et al. · arXiv (Cornell University) · 18
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Cataloging the Visible Universe Through Bayesian Inference at Petascale
2018 · Jeffrey Regier, Kiran Pamnany, et al. · Proceedings - IEEE International Parallel and Distributed Processing Symposium · 18
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Rao-Blackwellized Stochastic Gradients for Discrete Distributions
2018 · Liu, Runjing, Regier, Jeffrey, et al. · arXiv (Cornell University) · 17
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Approximate inference for constructing astronomical catalogs from images
2019 · Jeffrey Regier, Andrew C. Miller, et al. · The Annals of Applied Statistics · 15
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Deep Generative Models for Detecting Differential Expression in Single Cells
2019 · Pierre Boyeau, Romain Lopez, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 13
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Cataloging the visible universe through Bayesian inference in Julia at petascale
2019 · Jeffrey Regier, Keno Fischer, et al. · Journal of Parallel and Distributed Computing · 13
A Joint Model of RNA Expression and Surface Protein Abundance in Single Cells
2019 · Adam Gayoso, Romain Lopez, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 12
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Celeste: Variational inference for a generative model of astronomical images
2015 · Regier, Jeffrey, Miller, Andrew, et al. · arXiv (Cornell University) · 12
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Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data
2019 · Oscar Clivio, Romain Lopez, et al. · bioRxiv (Cold Spring Harbor Laboratory) · 11
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Mini-Minimax Uncertainty Quantification for Emulators
2015 · Jeffrey C. Regier, Philip B. Stark · SIAM/ASA Journal on Uncertainty Quantification · 10
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Variational Inference for Deblending Crowded Starfields
2021 · Liu, Runjing, McAuliffe, Jon D., et al. · arXiv (Cornell University) · 7
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Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
2017 · Regier, Jeffrey, Jordan, Michael I., et al. · arXiv (Cornell University) · 6
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A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
2017 · Lopez, Romain, Regier, Jeffrey, et al. · arXiv (Cornell University) · 5
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A deep generative model for gene expression profiles from single-cell RNA sequencing
2017 · Lopez, Romain, Regier, Jeffrey, et al. · arXiv (Cornell University) · 4
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Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
2016 · Regier, Jeffrey, Pamnany, Kiran, et al. · arXiv (Cornell University) · 4
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Normalizing Flows for Knockoff-Free Controlled Feature Selection
2022 · Derek Hansen, Brian Manzo, et al. · neural information processing systems · 3
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Works count: 60
Citation count: 5,382
H-index: 13
I10-index: 19
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