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07/21/2023
Improving Accuracy in Cell-Perturbation Experiments by Leveraging Auxiliary Information
Modern cell-perturbation experiments expose cells to panels of hundreds ...
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11/17/2022
Statistical Inference for Coadded Astronomical Images
Coadded astronomical images are created by stacking multiple single-expo...
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08/02/2022
Quantifying the Reproducibility of Cell-Perturbation Experiments
Experiments adhering to the same protocol can nonetheless lead to differ...
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07/12/2022
Scalable Bayesian Inference for Detection and Deblending in Astronomical Images
We present a new probabilistic method for detecting, deblending, and cat...
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06/03/2021
Normalizing Flows for Knockoff-free Controlled Feature Selection
The goal of controlled feature selection is to discover the features a r...
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02/04/2021
Variational Inference for Deblending Crowded Starfields
In the image data collected by astronomical surveys, stars and galaxies ...
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06/17/2020
Flows Succeed Where GANs Fail: Lessons from Low-Dimensional Data
Normalizing flows and generative adversarial networks (GANs) are both ap...
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02/17/2020
Decision-Making with Auto-Encoding Variational Bayes
To make decisions based on a model fit by Auto-Encoding Variational Baye...
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05/06/2019
A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements
Spatial studies of transcriptome provide biologists with gene expression...
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10/10/2018
Rao-Blackwellized Stochastic Gradients for Discrete Distributions
We wish to compute the gradient of an expectation over a finite or count...
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09/16/2018
A Deep Generative Model for Semi-Supervised Classification with Noisy Labels
Class labels are often imperfectly observed, due to mistakes and to genu...
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05/22/2018
Information Constraints on Auto-Encoding Variational Bayes
Parameterizing the approximate posterior of a generative model with neur...
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02/28/2018
Approximate Inference for Constructing Astronomical Catalogs from Images
We present a new, fully generative model for constructing astronomical c...
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01/31/2018
Cataloging the Visible Universe through Bayesian Inference at Petascale
Astronomical catalogs derived from wide-field imaging surveys are an imp...
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11/08/2017
Stochastic Cubic Regularization for Fast Nonconvex Optimization
This paper proposes a stochastic variant of a classic algorithm---the cu...
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10/13/2017
A deep generative model for single-cell RNA sequencing with application to detecting differentially expressed genes
We propose a probabilistic model for interpreting gene expression levels...
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09/07/2017
A deep generative model for gene expression profiles from single-cell RNA sequencing
We propose a probabilistic model for interpreting gene expression levels...
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06/07/2017
Fast Black-box Variational Inference through Stochastic Trust-Region Optimization
We introduce TrustVI, a fast second-order algorithm for black-box variat...
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11/10/2016
Learning an Astronomical Catalog of the Visible Universe through Scalable Bayesian Inference
Celeste is a procedure for inferring astronomical catalogs that attains ...
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06/03/2015