Publications
Selected Papers
MIRA: A Score for Conditional Distribution Accuracy and Model Comparison
Sammy Nasser Sharief, Justine Zeghal, Gabriel Missael Barco, Pablo Lemos, Yashar Hezaveh, Laurence Perreault-Levasseur
International Conference on Machine Learning
Co-author. A method for checking conditional distribution estimates and comparing probabilistic models.
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
The Astrophysical Journal, 980, 108
First author. An update procedure that reduces bias from misspecified simulation-trained priors.
Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models
Gabriel Missael Barco, Ronan Legin, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur
NeurIPS Workshop on Machine Learning and the Physical Sciences; ML4Astro, co-located with ICML
First author. Joint inference of source galaxies and lens-mass parameters from noisy lensing images.
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
Journal of Open Source Software, 9(103), 7081
Contributor. Open-source, GPU-accelerated software for differentiable strong-lensing simulations.
Theses
Additional Papers
The EDIBLES Survey IX: Simulations of the lambda 6614 DIB Profile Variations: A Surprising Connection with CH+
Charmi Bhatt, Jan Cami, Peter J. Sarre, Harold Linnartz, Nick L. J. Cox, Amin Farhang, Jonathan Smoker, Heather MacIsaac, Haoyu Fan, Alexander Ebenbichler, Harshit Khandelwal, Alex Romanec, Meriem Elyajouri, Pascale Ehrenfreund, Bernard H. Foing, Ana Monreal-Ibero, Gabriel Missael Barco, Jacco Th. van Loon
ACS Earth and Space Chemistry, 9(2), 227-240
Co-author. Paper from my Mitacs Globalink work on molecular spectra and diffuse interstellar bands.
Online Education in Times of COVID: Adapting and Deploying a Data Science Program in Mexico
Andrea Monserrat Arredondo-Rodriguez, Gabriel Missael Barco, Claudia I. Garcia-Gil, Alicia del Carmen Hernandez-Guzman, Rogelio Antonio Hernandez-Lopez, Benjamin Manuel Sanchez-Lengeling, Carla Marquez-Luna
Harvard Data Science Review, 4(2)
Co-author. Lessons from moving a hands-on data science program in Mexico online during COVID.
Mind the Information Gap: Unveiling Detailed Morphologies of z 0.5-1.0 Galaxies with SLACS Strong Lenses and Data-Driven Analysis
Ronan Legin, Connor Stone, Alexandre Adam, Gabriel Missael Barco, Adam Coogan, Nikolay Malkin, Laurence Perreault-Levasseur, Yashar Hezaveh
Submitted manuscript
Co-author. Uses generative priors to reconstruct source galaxies, lens light, and PSFs in real lensing systems.
Pixellated Posterior Sampling of Point Spread Functions in Astronomical Images
Connor Stone, Ronan Legin, Alexandre Adam, Nikolay Malkin, Gabriel Missael Barco, Laurence Perreault-Levasseur, Yashar Hezaveh
Submitted manuscript
Co-author. Bayesian pixel-level PSF modeling with a generative prior for astronomical imaging.
Pokie: Posterior Accuracy and Model Comparison
Sammy Nasser Sharief, Justine Zeghal, Gabriel Missael Barco, Pablo Lemos, Yashar Hezaveh, Laurence Perreault-Levasseur
ML4Astro, co-located with ICML; NeurIPS Frontiers in Probabilistic Inference
Co-author. Sample-based posterior checking and model comparison from simulator joint samples.
Addressing Misspecified Physical Models: Correcting Underspecified Lens Convergence Models via Data-Driven Updates
Nicolas Payot, Gabriel Missael Barco, Laurence Perreault-Levasseur, Yashar Hezaveh
ML4Astro, co-located with ICML
Co-author. Applies prior updates to misspecified lens convergence models in strong-lensing analysis.