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Yashar Hezaveh
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2020 – today
- 2025
- [c4]Pablo Lemos, Sammy Nasser Sharief, Nikolay Malkin, Salma Salhi, Connor Stone, Laurence Perreault Levasseur, Yashar Hezaveh:
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. ICLR 2025 - [i11]Noe Dia, M. J. Yantovski-Barth, Alexandre Adam, Micah Bowles, Laurence Perreault Levasseur, Yashar Hezaveh, Anna M. M. Scaife:
IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors. CoRR abs/2501.02473 (2025) - [i10]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:
Solving Bayesian inverse problems with diffusion priors and off-policy RL. CoRR abs/2503.09746 (2025) - 2024
- [j1]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
:
Caustics: A Python Package for Accelerated Strong Gravitational Lensing Simulations. J. Open Source Softw. 9(104): 7081 (2024) - [c3]Victor Livernoche, Vineet Jain, Yashar Hezaveh, Siamak Ravanbakhsh:
On Diffusion Modeling for Anomaly Detection. ICLR 2024 - [c2]Pablo Lemos, Nikolay Malkin, Will Handley, Yoshua Bengio, Yashar Hezaveh, Laurence Perreault Levasseur:
Improving Gradient-Guided Nested Sampling for Posterior Inference. ICML 2024 - [i9]Pablo Lemos, Sammy Sharief, Nikolay Malkin, Laurence Perreault Levasseur
, Yashar Hezaveh
:
PQMass: Probabilistic Assessment of the Quality of Generative Models using Probability Mass Estimation. CoRR abs/2402.04355 (2024) - [i8]Gabriel Missael Barco
, Alexandre Adam, Connor Stone, Yashar Hezaveh
, Laurence Perreault Levasseur:
Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems. CoRR abs/2407.17667 (2024) - 2023
- [c1]Pablo Lemos, Adam Coogan, Yashar Hezaveh, Laurence Perreault Levasseur:
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. ICML 2023: 19256-19273 - [i7]Alexandre Adam, Laurence Perreault Levasseur
, Yashar Hezaveh, Max Welling:
Pixelated Reconstruction of Foreground Density and Background Surface Brightness in Gravitational Lensing Systems using Recurrent Inference Machines. CoRR abs/2301.04168 (2023) - [i6]Pablo Lemos, Adam Coogan, Yashar Hezaveh
, Laurence Perreault Levasseur
:
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference. CoRR abs/2302.03026 (2023) - [i5]Victor Livernoche, Vineet Jain, Yashar Hezaveh
, Siamak Ravanbakhsh:
On Diffusion Modeling for Anomaly Detection. CoRR abs/2305.18593 (2023) - [i4]Alexandre Adam, Connor Stone, Connor Bottrell
, Ronan Legin, Yashar Hezaveh
, Laurence Perreault Levasseur
:
Echoes in the Noise: Posterior Samples of Faint Galaxy Surface Brightness Profiles with Score-Based Likelihoods and Priors. CoRR abs/2311.18002 (2023) - [i3]Noe Dia, M. J. Yantovski-Barth
, Alexandre Adam, Micah Bowles, Pablo Lemos, Anna M. M. Scaife, Yashar Hezaveh
, Laurence Perreault Levasseur
:
Bayesian Imaging for Radio Interferometry with Score-Based Priors. CoRR abs/2311.18012 (2023) - [i2]Pablo Lemos, Nikolay Malkin, Will Handley
, Yoshua Bengio, Yashar Hezaveh
, Laurence Perreault Levasseur
:
Improving Gradient-guided Nested Sampling for Posterior Inference. CoRR abs/2312.03911 (2023) - 2022
- [i1]Alexandre Adam, Adam Coogan, Nikolay Malkin, Ronan Legin, Laurence Perreault Levasseur
, Yashar Hezaveh
, Yoshua Bengio:
Posterior samples of source galaxies in strong gravitational lenses with score-based priors. CoRR abs/2211.03812 (2022)
Coauthor Index

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last updated on 2025-05-17 00:34 CEST by the dblp team
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