Lightning-Fast Gravitational Wave Parameter Inference through Neural Amortization. - Arnaud Delaunoy; Antoine Wehenkel; Tanja Hinderer; Samaya Nissanke; Christoph Weniger; Andrew R. Williamson; Gilles Louppe (CoRR, 2020)

Averting A Crisis In Simulation-Based Inference. - Joeri Hermans; Arnaud Delaunoy; François Rozet; Antoine Wehenkel; Gilles Louppe (CoRR, 2021)

Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation. - Arnaud Delaunoy; Joeri Hermans; François Rozet; Antoine Wehenkel; Gilles Louppe (NeurIPS, 2022)

SAE: Sequential Anchored Ensembles. - Arnaud Delaunoy; Gilles Louppe (CoRR, 2022)

A Crisis In Simulation-Based Inference? Beware, Your Posterior Approximations Can Be Unfaithful. - Joeri Hermans; Arnaud Delaunoy; François Rozet; Antoine Wehenkel; Volodimir Begy; Gilles Louppe (Trans. Mach. Learn. Res., 2022)

Calibrating Neural Simulation-Based Inference with Differentiable Coverage Probability. - Maciej Falkiewicz; Naoya Takeishi; Imahn Shekhzadeh; Antoine Wehenkel; Arnaud Delaunoy; Gilles Louppe; Alexandros Kalousis (NeurIPS, 2023)

Balancing Simulation-based Inference for Conservative Posteriors. - Arnaud Delaunoy; Benjamin Kurt Miller; Patrick Forré; Christoph Weniger; Gilles Louppe (CoRR, 2023)

Low-Budget Simulation-Based Inference with Bayesian Neural Networks. - Arnaud Delaunoy; Maxence de la Brassinne Bonardeaux; Siddharth Mishra-Sharma; Gilles Louppe (CoRR, 2024)