collaborators

5 papers

stat.ML2026

CP4SBI: Local Conformal Calibration of Credible Sets in Simulation-Based Inference

Luben M. C. Cabezas, Vagner S. Santos, Thiago R. Ramos +2

Current experimental scientists have been increasingly relying on simulation-based inference (SBI) to invert complex non-linear models with intractable likelihoods. However, poster…

stat.ML2026

Flow Matching Calibration for Simulation-Based Inference under Model Misspecification

Pierre-Louis Ruhlmann, Michael Arbel, Florence Forbes +1

Simulation-based inference (SBI) is transforming experimental sciences by enabling parameter estimation in complex non-linear models from simulated data. A persistent challenge, ho…

stat.ML2026

Error analysis of a compositional score-based algorithm for simulation-based inference

Camille Touron, Gabriel V. Cardoso, Julyan Arbel +1

Simulation-based inference (SBI) has become a widely used framework in applied sciences for estimating the parameters of stochastic models that best explain experimental observatio…

stat.ML2025

Simulation-based inference of yeast centromeres

Eloïse Touron, Pedro L. C. Rodrigues, Julyan Arbel +2

The chromatin folding and the spatial arrangement of chromosomes in the cell play a crucial role in DNA replication and genes expression. An improper chromatin folding could lead t…

math.ST2025

Curvature-based rejection sampling

Isabella Costa Maia, Marco Congedo, Pedro L. C. Rodrigues +1

The present work introduces curvature-based rejection sampling (CURS). This is a method for sampling from a general class of probability densities defined on Riemannian manifolds.…