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06/10/2022
PAVI: Plate-Amortized Variational Inference
Given some observed data and a probabilistic generative model, Bayesian ...
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02/23/2022
Scalable Query Answering under Uncertainty to Neuroscientific Ontological Knowledge: The NeuroLang Approach
Researchers in neuroscience have a growing number of datasets available ...
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11/15/2021
Inverting brain grey matter models with likelihood-free inference: a tool for trustable cytoarchitecture measurements
Effective characterisation of the brain grey matter cytoarchitecture wit...
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06/23/2021
ADAVI: Automatic Dual Amortized Variational Inference Applied To Pyramidal Bayesian Models
Frequently, population studies feature pyramidally-organized data repres...
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12/02/2020
Complex Coordinate-Based Meta-Analysis with Probabilistic Programming
With the growing number of published functional magnetic resonance imagi...
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10/24/2020
PEP: Parameter Ensembling by Perturbation
Ensembling is now recognized as an effective approach for increasing the...
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03/05/2020
Fine-grain atlases of functional modes for fMRI analysis
Population imaging markedly increased the size of functional-imaging dat...
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08/05/2019
Portable simulation framework for diffusion MRI
The numerical simulation of the diffusion MRI signal arising from comple...
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06/04/2018
Text to brain: predicting the spatial distribution of neuroimaging observations from text reports
Despite the digital nature of magnetic resonance imaging, the resulting ...
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01/12/2017