223 citations · 246 across the 14 of their papers we have counts for
17 papers
PAVI: Plate-Amortized Variational Inference
Louis Rouillard, Alexandre Le Bris, Thomas Moreau +1
Given observed data and a probabilistic generative model, Bayesian inference searches for the distribution of the model's parameters that could have yielded the data. Inference is…
PAVI: Plate-Amortized Variational Inference
Louis Rouillard, Thomas Moreau, Demian Wassermann
Given some observed data and a probabilistic generative model, Bayesian inference aims at obtaining the distribution of a model's latent parameters that could have yielded the data…
Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach
Gaston Zanitti, Yamil Soto, Valentin Iovene +4
Researchers in neuroscience have a growing number of datasets available to study the brain, which is made possible by recent technological advances. Given the extent to which the b…
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements
Maëliss Jallais, Pedro Luiz Coelho Rodrigues, Alexandre Gramfort +1
Effective characterisation of the brain grey matter cytoarchitecture with quantitative sensitivity to soma density and volume remains an unsolved challenge in diffusion MRI (dMRI).…
Inferring the Localization of White-Matter Tracts using Diffusion Driven Label Fusion
Guillermo Gallardo, Gaston Zanitti, Mat Higger +2
Inferring which pathways are affected by a brain lesion is key for both pre and post-treatment planning. However, many disruptive lesions cause changes in the tissue that interrupt…
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Louis Rouillard, Demian Wassermann
Frequently, population studies feature pyramidally-organized data represented using Hierarchical Bayesian Models (HBM) enriched with plates. These models can become prohibitively l…