Nonlinear multi-study factor analysis

Gemma E Moran, Anandi Krishnan

arXiv preprint arXiv:2601.18128, 2026

Towards Interpretable Deep Generative Models via Causal Representation Learning

Gemma E Moran, Bryon Aragam

Journal of the American Statistical Association: Reviews, 2026

Towards scientific discovery with dictionary learning: Extracting biological concepts from microscopy foundation models

Konstantin Donhauser, Kristina Ulicna, Gemma E Moran, Aditya Ravuri, Kian Kenyon-Dean, Cian Eastwood, Jason Hartford

International Conference on Machine Learning, 2025

Genetic Architectures of Medical Images Revealed by Registration of Multiple Modalities

Sam Freesun Friedman, Gemma Elyse Moran, Marianne Rakic, Anthony Phillipakis

Bioinformatics and Biology Insights, vol. 18, 2024

Holdout predictive checks for Bayesian model criticism

Gemma E Moran, David M Blei, Rajesh Ranganath

Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 86, 2024, pp. 194--214

The posterior predictive null

Gemma E Moran, John P Cunningham, David M Blei

Bayesian Analysis, (Lindley Prize Winner), vol. 18, 2023, pp. 1071--1097

Spike-and-slab group lassos for grouped regression and sparse generalized additive models

Ray Bai, Gemma E Moran, Joseph L Antonelli, Yong Chen, Mary R Boland

Journal of the American Statistical Association, vol. 117, 2022, pp. 184--197

Identifiable Deep Generative Models via Sparse Decoding

Gemma E Moran, Dhanya Sridhar, Yixin Wang, David M Blei

Transactions on Machine Learning Research, 2022

Spike-and-slab lasso biclustering

Gemma E Moran, Veronika Rockova, Edward I George

The Annals of Applied Statistics, vol. 15, 2021, pp. 148--173

Variance prior forms for high-dimensional Bayesian variable selection

Gemma E Moran, Veronika Rockova, Edward I George

Bayesian Analysis, vol. 14, 2019, pp. 1091--1119

Determinantal regularization for ensemble variable selection

Veronika Rockova, Gemma Moran, Edward George

Artificial Intelligence and Statistics, 2016

Serendipity based recommender system for perovskites material discovery: balancing exploration and exploitation across multiple models

Venkateswaran Shekar, Vincent Yu, Benjamin J. Garcia, David Benjamin Gordon, Gemma E. Moran, David M. Blei, Loïc M. Roch, Alberto García-Durán, Mansoor Ani Najeeb, Margaret Zeile, Philip W. Nega, Zhi Li, Mina A. Kim, Emory M. Chan, Alexander J. Norquist, Sorelle Friedler, Joshua Schrier

ChemRxiv, 2022