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Adam Coogan

Alumni

Publications

caskade: building Pythonic scientific simulators
Connor Stone
Alexandre Adam
Adam Coogan
Laurence Perreault-Levasseur
Yashar Hezaveh
2025-09-15
Journal of Open Source Software (publié)
doi.org
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
2024-01-01
J. Open Source Softw. (publié)
doi.org
arxiv.org
Time Delay Cosmography with a Neural Ratio Estimator
Ève Campeau-Poirier
Laurence Perreault-Levasseur
Adam Coogan
Yashar Hezaveh
We explore the use of a Neural Ratio Estimator (NRE) to determine the Hubble constant (…
2023-09-27
ArXiv (prépublication)
arxiv.org
arxiv.org
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
Adam Coogan
Yashar Hezaveh
Laurence Perreault-Levasseur
2023-07-03
Proceedings of the 40th International Conference on Machine Learning (publié)
doi.org
openreview.net
Sampling-Based Accuracy Testing of Posterior Estimators for General Inference
Pablo Lemos
Adam Coogan
Yashar Hezaveh
Laurence Perreault-Levasseur
2023-04-24
ICML.cc/2023/Conference (poster)
doi.org
openreview.net
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
2022-11-07
ArXiv (prépublication)
doi.org
arxiv.org