Yashar Hezaveh

17 papers A* 4Journal 13
YearRankTypeTitle / Venue / Authors
2025 J jnl
Blind Strong Gravitational Lensing Inversion: Joint Inference of Source and Lens Mass with Score-Based Models.
CoRR
Gabriel Missael Barco, Ronan Legin, Connor Stone, Yashar Hezaveh, Laurence Perreault Levasseur
2025 J jnl
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors.
CoRR
Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault Levasseur, Yashar Hezaveh, Anna M. M. Scaife
2025 A* conf
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation.
ICLR
Pablo Lemos, Sammy Nasser Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault Levasseur, Yashar Hezaveh
2025 J jnl
Solving Bayesian inverse problems with diffusion priors and off-policy RL.
CoRR
Luca Scimeca, Siddarth Venkatraman, Moksh Jain, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yashar Hezaveh, Laurence Perreault Levasseur, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 J jnl
Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations.
J. Open Source Softw.
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
2024 A* conf
Improving Gradient-Guided Nested Sampling for Posterior Inference.
ICML
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur
2024 A* conf
On Diffusion Modeling for Anomaly Detection.
ICLR
Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh
2024 J jnl
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation.
CoRR
Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur, Yashar Hezaveh
2024 J jnl
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems.
CoRR
Gabriel Missael Barco, Alexandre Adam, Connor Stone, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
Bayesian Imaging for Radio Interferometry with Score-Based Priors.
CoRR
Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors.
CoRR
Alexandre Adam, Connor Stone, Connor Bottrell, Ronan Legin, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
Improving Gradient-guided Nested Sampling for Posterior Inference.
CoRR
Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
On Diffusion Modeling for Anomaly Detection.
CoRR
Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh
2023 J jnl
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines.
CoRR
Alexandre Adam, Laurence Perreault Levasseur, Yashar Hezaveh, Max Welling
2023 A* conf
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference.
ICML
Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur
2023 J jnl
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference.
CoRR
Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur
2022 J jnl
Posterior samples of source galaxies in strong gravitational lenses with score-based priors.
CoRR
Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault Levasseur, Yashar Hezaveh, Yoshua Bengio