63.6k citations · 65.9k across the 85 of their papers we have counts for
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Graph-Theoretic Models of Resource Distribution for Cyber-Physical Systems of Disaster-Affected Regions
Kenneth Johnson, Samaneh Madanian, Roopak Sinha
We propose a tool-supported framework to reason about requirements constraining resource distributions and devise strategies for routing essential services in a disaster-affected r…
DriPP: Driven Point Processes to Model Stimuli Induced Patterns in M/EEG Signals
Cédric Allain, Alexandre Gramfort, Thomas Moreau
The quantitative analysis of non-invasive electrophysiology signals from electroencephalography (EEG) and magnetoencephalography (MEG) boils down to the identification of temporal…
Long-range and hierarchical language predictions in brains and algorithms
Charlotte Caucheteux, Alexandre Gramfort, Jean-Remi King
Deep learning has recently made remarkable progress in natural language processing. Yet, the resulting algorithms remain far from competing with the language abilities of the human…
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).…
LassoBench: A High-Dimensional Hyperparameter Optimization Benchmark Suite for Lasso
Kenan Šehić, Alexandre Gramfort, Joseph Salmon +1
While Weighted Lasso sparse regression has appealing statistical guarantees that would entail a major real-world impact in finance, genomics, and brain imaging applications, it is…
Shared Independent Component Analysis for Multi-Subject Neuroimaging
Hugo Richard, Pierre Ablin, Bertrand Thirion +2
We consider shared response modeling, a multi-view learning problem where one wants to identify common components from multiple datasets or views. We introduce Shared Independent C…