Romain Lopez
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2021
Romain Lopez
,
Inderjit Dhillon
,
Michael I. Jordan
.
Learning from eXtreme Bandit Feedback
.
AAAI Conference on Artificial Intelligence
, 2021.
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Project
2020
Adam Gayoso*
,
Zoë Steier*
,
Romain Lopez
,
Jeffrey Regier
,
Kristopher L Nazor
,
Aaron Streets
,
Nir Yosef
.
Joint Probabilistic Modeling of Paired Transcriptome and Proteome Measurements in Single Cells
.
Nature Methods (in press)
, 2020.
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Project
Chenling Xu*
,
Romain Lopez*
,
Edouard Mehlman*
,
Jeffrey Regier
,
Michael I. Jordan
,
Nir Yosef
.
Probabilistic Harmonization and Annotation of Single-cell Transcriptomics Data with Deep Generative Models
.
Molecular Systems Biology (in press)
, 2020.
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Project
Romain Lopez
,
Pierre Boyeau
,
Nir Yosef
,
Michael I. Jordan
,
Jeffrey Regier
.
Decision-Making with Auto-Encoding Variational Bayes
.
Advances in Neural Information Processing Systems
, 2020.
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Romain Lopez
,
Adam Gayoso
,
Nir Yosef
.
Enhancing Scientific Discoveries in Molecular Biology with Deep Generative Models
.
Molecular Systems Biology
, 2020.
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Project
Romain Lopez
,
Chenchen Li
,
Xiang Yan
,
Junwu Xiong
,
Michael I. Jordan
,
Yuan Qi
,
Le Song
.
Cost-Effective Incentive Allocation via Structured Counterfactual Inference
.
AAAI Conference on Artificial Intelligence
, 2020.
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Project
2019
Adam Gayoso
,
Romain Lopez
,
Zoë Steier
,
Jeffrey Regier
,
Aaron Streets
,
Nir Yosef
.
A Joint Model of RNA Expression and Surface Protein Abundance in Single Cells
.
Machine Learning in Computational Biology (MLCB)
, 2019.
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Project
Pierre Boyeau
,
Romain Lopez
,
Jeffrey Regier
,
Adam Gayoso
,
Michael I. Jordan
,
Nir Yosef
.
Deep Generative Models for Detecting Differential Expression in Single Cells
.
Machine Learning in Computational Biology (MLCB)
, 2019.
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Project
Oscar Clivio
,
Romain Lopez
,
Jeffrey Regier
,
Adam Gayoso
,
Michael I. Jordan
,
Nir Yosef
.
Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data
.
Machine Learning in Computational Biology (MLCB), Spotlight talk
, 2019.
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Project
Romain Lopez*
,
Achille Nazaret*
,
Maxime Langevin*
,
Jules Samaran*
,
Jeffrey Regier*
,
Michael I Jordan
,
Nir Yosef
.
A Joint Model of Unpaired Data from scRNA-seq and Spatial Transcriptomics for Imputing Missing Gene Expression Measurements
.
ICML Workshop in Computational Biology, Spotlight talk, Best student poster award
, 2019.
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Project
Samuel L. Wolock
,
Romain Lopez
,
Allon M. Klein
.
Scrublet: Computational Identification of Cell Doublets in Single-cell Transcriptomic Data
.
Cell Systems
, 2019.
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Code
2018
Romain Lopez
,
Jeffrey Regier
,
Michael B. Cole
,
Michael I. Jordan
,
Nir Yosef
.
Deep Generative Modeling for Single-cell Transcriptomics
.
Nature Methods
, 2018.
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Code
Project
Romain Lopez
,
Jeffrey Regier
,
Michael I. Jordan
,
Nir Yosef
.
Information Constraints on Auto-Encoding Variational Bayes
.
Advances in Neural Information Processing Systems
, 2018.
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Code
Project
Maxime Langevin
,
Edouard Mehlman
,
Jeffrey Regier
,
Romain Lopez
,
Michael I. Jordan
,
Nir Yosef
.
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels
.
Bay Area Machine Learning Symposium, Oral presentation
, 2018.
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2017
Romain Lopez
,
Jeffrey Regier
,
Michael I. Jordan
,
Nir Yosef
.
A Deep Generative Model for Gene Expression profiles from Single-cell RNA Sequencing with Application to Differential Expression
.
NeurIPS Machine Learning workshop in Computational Biology, Spotlight talk and Bay Area Machine Learning Symposium, Oral presentation
, 2017.
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