A Patient-Specific Single Equivalent Dipole Model. - Gabriel Cardoso 001; Geneviève Robin; Andony Arrieula; Mark Potse; Michel Haïssaguerre; Eric Moulines; Rémi Dubois (CinC, 2022)

BR-SNIS: Bias Reduced Self-Normalized Importance Sampling. - Gabriel Cardoso 001; Sergey Samsonov; Achille Thin; Eric Moulines; Jimmy Olsson (NeurIPS, 2022)

Generative methods for sampling transition paths in molecular dynamics. - Tony Lelièvre; Geneviève Robin; Inass Sekkat; Gabriel Stoltz; Gabriel Victorino Cardoso (CoRR, 2022)

State and parameter learning with PARIS particle Gibbs. - Gabriel Cardoso 001; Yazid Janati El Idrissi; Sylvain Le Corff; Eric Moulines; Jimmy Olsson (ICML, 2023)

Monte Carlo guided Diffusion for Bayesian linear inverse problems. - Gabriel Cardoso 001; Yazid Janati El Idrissi; Sylvain Le Corff; Eric Moulines (CoRR, 2023)

Monte Carlo guided Denoising Diffusion models for Bayesian linear inverse problems. - Gabriel Cardoso 001; Yazid Janati El Idrissi; Sylvain Le Corff; Eric Moulines (ICLR, 2024)

Leveraging an ECG Beat Diffusion Model for Morphological Reconstruction from Indirect Signals. - Lisa Bedin; Gabriel Cardoso 001; Josselin Duchateau; Rémi Dubois; Eric Moulines (NeurIPS, 2024)

Bayesian ECG reconstruction using denoising diffusion generative models. - Gabriel Victorino Cardoso; Lisa Bedin; Josselin Duchateau; Rémi Dubois; Eric Moulines (CoRR, 2024)

Diffusion posterior sampling for simulation-based inference in tall data settings. - Julia Linhart; Gabriel Victorino Cardoso; Alexandre Gramfort; Sylvain Le Corff; Pedro L. C. Rodrigues (CoRR, 2024)