Pix2Prof: fast extraction of sequential information from galaxy imagery via deep learning. - Michael J. Smith 013; Nikhil Arora; Connor Stone; Stéphane Courteau; James E. Geach (CoRR, 2020)

Realistic galaxy image simulation via score-based generative models. - Michael J. Smith 013; James E. Geach; Ryan A. Jackson; Nikhil Arora; Connor Stone; Stéphane Courteau (CoRR, 2021)

Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors. - Alexandre Adam; Connor Stone; Connor Bottrell; Ronan Legin; Yashar Hezaveh; Laurence Perreault Levasseur (CoRR, 2023)

The Multimodal Universe: Enabling Large-Scale Machine Learning with 100 TB of Astronomical Scientific Data. - Eirini Angeloudi; Jeroen Audenaert; Micah Bowles; Benjamin M. Boyd; David Chemaly; Brian Cherinka; Ioana Ciuca; Miles D. Cranmer; Aaron Do; Matthew Grayling; Erin E. Hayes; Tom Hehir; et al. (NeurIPS, 2024)

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems. - Gabriel Missael Barco; Alexandre Adam; Connor Stone; Yashar Hezaveh; Laurence Perreault Levasseur (CoRR, 2024)

Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations. - Connor Stone; Alexandre Adam; Adam Coogan; M. J. Yantovski-Barth; Andreas Filipp; Landung Setiawan; Cordero Core; Ronan Legin; Charles Wilson; Gabriel Missael Barco; Yashar Hezaveh; Laurence Perreault Levasseur (J. Open Source Softw., 2024)

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. - Pablo Lemos; Sammy Nasser Sharief; Nikolay Malkin; Salma Salhi; Connor Stone; Laurence Perreault Levasseur; Yashar Hezaveh (ICLR, 2025)