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Pedro L. C. Rodrigues

2 accepted papers

2023

L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference

NeurIPS 2023poster

Many recent works in simulation-based inference (SBI) rely on deep generative models to approximate complex, high-dimensional posterior distributions. However, evaluating whether or not these approximations can be trusted remains a challenge. Most approaches evaluate the posterior estimator only in…

2021

HNPE: Leveraging Global Parameters for Neural Posterior Estimation

NeurIPS 2021poster

Inferring the parameters of a stochastic model based on experimental observations is central to the scientific method. A particularly challenging setting is when the model is strongly indeterminate, i.e. when distinct sets of parameters yield identical observations. This arises in many practical sit…