Yashar Hezaveh

According to our database, Yashar Hezaveh authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur, Yashar Hezaveh

CoRR, 2024

2023

Improving Gradient-guided Nested Sampling for Posterior Inference.

Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur

CoRR, 2023

Bayesian Imaging for Radio Interferometry with Score-Based Priors.

Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur

CoRR, 2023

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

On Diffusion Modeling for Anomaly Detection.

Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh

CoRR, 2023

Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines.

Alexandre Adam, Laurence Perreault Levasseur, Yashar Hezaveh, Max Welling

CoRR, 2023

Sampling-Based Accuracy Testing of Posterior Estimators for General Inference.

Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur

Proceedings of the International Conference on Machine Learning, 2023

2022

Posterior samples of source galaxies in strong gravitational lenses with score-based priors.

Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault Levasseur, Yashar Hezaveh, Yoshua Bengio

CoRR, 2022