On the risk management of demand deposits: quadratic hedging of interest rate margins. - Alexandre Adam; Hamza Cherrat; Mohamed Houkari; Jean Paul Laurent; Jean-Luc Prigent (Ann. Oper. Res., 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)

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)

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)

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)

Improved off-policy training of diffusion samplers. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (NeurIPS, 2024)

Amortizing intractable inference in diffusion models for vision, language, and control. - Siddarth Venkatraman; Moksh Jain; Luca Scimeca; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (NeurIPS, 2024)

On diffusion models for amortized inference: Benchmarking and improving stochastic control and sampling. - Marcin Sendera; Minsu Kim 004; Sarthak Mittal; Pablo Lemos; Luca Scimeca; Jarrid Rector-Brooks; Alexandre Adam; Yoshua Bengio; Nikolay Malkin (CoRR, 2024)

Tackling the Problem of Distributional Shifts: Correcting Misspecified, High-Dimensional Data-Driven Priors for Inverse Problems. - Gabriel Missael Barco; Alexandre Adam; Connor Stone; Yashar Hezaveh; Laurence Perreault Levasseur (CoRR, 2024)

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 (J. Open Source Softw., 2024)

IRIS: A Bayesian Approach for Image Reconstruction in Radio Interferometry with expressive Score-Based priors. - Noe Dia; M. J. Yantovski-Barth; Alexandre Adam; Micah Bowles; Laurence Perreault Levasseur; Yashar Hezaveh; Anna M. M. Scaife (CoRR, 2025)

Solving Bayesian inverse problems with diffusion priors and off-policy RL. - Luca Scimeca; Siddarth Venkatraman; Moksh Jain; Minsu Kim 004; Marcin Sendera; Mohsin Hasan; Luke Rowe; Sarthak Mittal; Pablo Lemos; Emmanuel Bengio; Alexandre Adam; Jarrid Rector-Brooks; et al. (CoRR, 2025)