Publications

2021

Learning from eXtreme Bandit Feedback. AAAI Conference on Artificial Intelligence, 2021.

PDF Project

2020

Joint Probabilistic Modeling of Paired Transcriptome and Proteome Measurements in Single Cells. Nature Methods (in press), 2020.

PDF Code Project

Probabilistic Harmonization and Annotation of Single-cell Transcriptomics Data with Deep Generative Models. Molecular Systems Biology (in press), 2020.

PDF Code Project

Decision-Making with Auto-Encoding Variational Bayes. Advances in Neural Information Processing Systems, 2020.

PDF Code Project

Enhancing Scientific Discoveries in Molecular Biology with Deep Generative Models. Molecular Systems Biology, 2020.

PDF Project

Cost-Effective Incentive Allocation via Structured Counterfactual Inference. AAAI Conference on Artificial Intelligence, 2020.

PDF Project

2019

A Joint Model of RNA Expression and Surface Protein Abundance in Single Cells. Machine Learning in Computational Biology (MLCB), 2019.

PDF Code Project

Deep Generative Models for Detecting Differential Expression in Single Cells. Machine Learning in Computational Biology (MLCB), 2019.

PDF Code Project

Detecting Zero-Inflated Genes in Single-Cell Transcriptomics Data. Machine Learning in Computational Biology (MLCB), Spotlight talk, 2019.

PDF Code Project

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.

PDF Code Project

Scrublet: Computational Identification of Cell Doublets in Single-cell Transcriptomic Data. Cell Systems, 2019.

PDF Code

2018

Deep Generative Modeling for Single-cell Transcriptomics. Nature Methods, 2018.

PDF Code Project

Information Constraints on Auto-Encoding Variational Bayes. Advances in Neural Information Processing Systems, 2018.

PDF Code Project

A Deep Generative Model for Semi-Supervised Classification with Noisy Labels. Bay Area Machine Learning Symposium, Oral presentation, 2018.

PDF Code

2017

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.

PDF Code Project