Search Results for author: Connor Stone

Found 5 papers, 2 papers with code

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems

no code implementations24 Jul 2024 Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault-Levasseur

In these cases, corrupted data or a surrogate, e. g. a simulator, is often used to produce training samples, meaning that there is a risk of obtaining misspecified priors.

Bayesian Inference Image Reconstruction

PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation

no code implementations6 Feb 2024 Pablo Lemos, Sammy Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault-Levasseur, Yashar Hezaveh

We propose a likelihood-free method for comparing two distributions given samples from each, with the goal of assessing the quality of generative models.

Dimensionality Reduction

Realistic galaxy image simulation via score-based generative models

2 code implementations2 Nov 2021 Michael J. Smith, James E. Geach, Ryan A. Jackson, Nikhil Arora, Connor Stone, Stéphane Courteau

We show that a Denoising Diffusion Probabalistic Model (DDPM), a class of score-based generative model, can be used to produce realistic mock images that mimic observations of galaxies.

Denoising Galaxy emergent property recreation +1

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