EuCAPT white paper: opportunities and challenges for theoretical astroparticle physics in the next decade
RA Batista, MA Amin, G Barenboim, N Bartolo… - ar** flexible variational methods for Bayesian
computation, Gaussian approximations with structured covariance matrices are often …
computation, Gaussian approximations with structured covariance matrices are often …
Understanding and mitigating difficulties in posterior predictive evaluation
A Agrawal, J Domke - ar** flexible variational methods for Bayesian
computation, Gaussian approximations with structured covariance matrices are often …
computation, Gaussian approximations with structured covariance matrices are often …
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Frequently, population studies feature pyramidally-organized data represented using
Hierarchical Bayesian Models (HBM) enriched with plates. These models can become …
Hierarchical Bayesian Models (HBM) enriched with plates. These models can become …
Bridging Simulation-based Inference and Hierarchical Modeling: Applications in Neuroscience
L Rouillard - 2024 - theses.hal.science
Neuroimaging investigates the brain's architecture and function using magnetic resonance
(MRI). To make sense of the complex observed signal, Neuroscientists posit explanatory …
(MRI). To make sense of the complex observed signal, Neuroscientists posit explanatory …