Alexandre Adam

13 papers A* 2Journal 11
YearRankTypeTitle / Venue / Authors
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 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 A* conf
Amortizing intractable inference in diffusion models for vision, language, and control.
NeurIPS
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, Yoshua Bengio, Glen Berseth, Nikolay Malkin
2024 J jnl
Amortizing intractable inference in diffusion models for vision, language, and control.
CoRR
Siddarth Venkatraman, Moksh Jain, Luca Scimeca, Minsu Kim, Marcin Sendera, Mohsin Hasan, Luke Rowe, Sarthak Mittal, Pablo Lemos, Emmanuel Bengio, Alexandre Adam, Jarrid Rector-Brooks, 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
Improved off-policy training of diffusion samplers.
NeurIPS
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
2024 J jnl
On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling.
CoRR
Marcin Sendera, Minsu Kim, Sarthak Mittal, Pablo Lemos, Luca Scimeca, Jarrid Rector-Brooks, Alexandre Adam, Yoshua Bengio, Nikolay Malkin
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
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
2022 J jnl
On the risk management of demand deposits: quadratic hedging of interest rate margins.
Ann. Oper. Res.
Alexandre Adam, Hamza Cherrat, Mohamed Houkari, Jean Paul Laurent, Jean-Luc Prigent
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