Следене
Jeffrey Regier
Jeffrey Regier
Assistant Professor, Department of Statistics, University of Michigan
Потвърден имейл адрес: umich.edu - Начална страница
Заглавие
Позовавания
Позовавания
Година
Deep generative modeling for single-cell transcriptomics
R Lopez, J Regier, MB Cole, MI Jordan, N Yosef
Nature Methods 15 (12), 1053, 2018
6322018
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
1262018
Information constraints on auto-encoding variational bayes
R Lopez, J Regier, MI Jordan, N Yosef
Advances in Neural Information Processing Systems 31, 2018
802018
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
772021
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
672021
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
362019
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
342015
Rao-blackwellized stochastic gradients for discrete distributions
R Liu, J Regier, N Tripuraneni, MI Jordan, J McAuliffe
Advances in Neural Information Processing Systems, 2018
262018
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
232017
A deep generative model for astronomical images of galaxies
J Regier, J McAuliffe, Prabhat
Neural Informational Processing Systems (NIPS) Workshop: Advances in …, 2015
22*2015
Cataloging the visible universe through Bayesian inference in Julia at petascale
J Regier, K Fischer, K Pamnany, A Noack, J Revels, M Lam, S Howard, ...
Journal of Parallel and Distributed Computing 127, 89-104, 2019
192019
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
182018
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
142020
Scvi-tools: A library for deep probabilistic analysis of single-cell omics data
A Gayoso, R Lopez, G Xing, P Boyeau, K Wu, M Jayasuriya, E Melhman, ...
bioRxiv, 2021
122021
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
112019
A deep generative model for gene expression profiles from single-cell RNA sequencing
R Lopez, J Regier, M Cole, M Jordan, N Yosef
arXiv preprint arXiv:1709.02082, 2017
102017
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
102010
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
92022
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
92020
Mini-Minimax Uncertainty Quantification for Emulators
JC Regier, PB Stark
SIAM/ASA Journal on Uncertainty Quantification 3 (1), 686–708, 2015
92015
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