Olsson, Jimmy

8 publications

ICML 2025 A Mixture-Based Framework for Guiding Diffusion Models Yazid Janati, Badr Moufad, Mehdi Abou El Qassime, Alain Oliviero Durmus, Eric Moulines, Jimmy Olsson

AISTATS 2025 Recursive Learning of Asymptotic Variational Objectives Alessandro Mastrototaro, Mathias Müller, Jimmy Olsson

ICLR 2025 Variational Diffusion Posterior Sampling with Midpoint Guidance Badr Moufad, Yazid Janati, Lisa Bedin, Alain Oliviero Durmus, Randal Douc, Eric Moulines, Jimmy Olsson

NeurIPS 2024 Divide-and-Conquer Posterior Sampling for Denoising Diffusion Priors Yazid Janati, Badr Moufad, Alain Durmus, Eric Moulines, Jimmy Olsson

ICML 2024 Online Variational Sequential Monte Carlo Alessandro Mastrototaro, Jimmy Olsson

ICML 2023 State and Parameter Learning with PARIS Particle Gibbs Gabriel Cardoso, Yazid Janati El Idrissi, Sylvain Le Corff, Eric Moulines, Jimmy Olsson

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

AISTATS 2010 Approximation of Hidden Markov Models by Mixtures of Experts with Application to Particle Filtering Jimmy Olsson, Jonas Ströjby