Addressing Misspecification in Simulation-based Inference through Data-driven Calibration
Driven by steady progress in generative modeling, simulation-based inference (SBI) has
enabled inference over stochastic simulators. However, recent work has demonstrated that …
enabled inference over stochastic simulators. However, recent work has demonstrated that …
Preconditioned Neural Posterior Estimation for Likelihood-free Inference
Simulation based inference (SBI) methods enable the estimation of posterior distributions
when the likelihood function is intractable, but where model simulation is feasible. Popular …
when the likelihood function is intractable, but where model simulation is feasible. Popular …
InVAErt networks for amortized inference and identifiability analysis of lumped parameter hemodynamic models
Estimation of cardiovascular model parameters from electronic health records (EHR) poses
a significant challenge primarily due to lack of identifiability. Structural non-identifiability …
a significant challenge primarily due to lack of identifiability. Structural non-identifiability …
Inferring Physiological Properties of Motor Neurons using Neural Posterior Estimation
P Mamidanna, D Farina - ICML 2024 Workshop on Structured Probabilistic … - openreview.net
Measuring or inferring the physiological properties of motor neurons, such as during disease
progression or aging, remains challenging, often requiring longitudinal invasive …
progression or aging, remains challenging, often requiring longitudinal invasive …