12 citations · 29 across the 8 of their papers we have counts for
9 papers
Escaping the Capacity Ceiling: Routing on the Stiefel Manifold for Bilinear SPD Layers
Isabella Costa Maia, Isabella C. Maia, Pedro L. C. Rodrigues +2
Deep networks on the symmetric positive-definite (SPD) manifold promise expressive representations by encoding data geometry as an inductive bias, but stacking BiMap layers with th…
L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
Julia Linhart, Alexandre Gramfort, Pedro L. C. Rodrigues
Many recent works in simulation-based inference (SBI) rely on deep generative models to approximate complex, high-dimensional posterior distributions. However, evaluating whether o…
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).…
HNPE: Leveraging Global Parameters for Neural Posterior Estimation
Pedro L. C. Rodrigues, Thomas Moreau, Gilles Louppe +1
Inferring the parameters of a stochastic model based on experimental observations is central to the scientific method. A particularly challenging setting is when the model is stron…
Learning summary features of time series for likelihood free inference
Pedro L. C. Rodrigues, Alexandre Gramfort
There has been an increasing interest from the scientific community in using likelihood-free inference (LFI) to determine which parameters of a given simulator model could best des…
Building Brain Invaders: EEG data of an experimental validation
Gijsbrecht Van Veen, Alexandre Barachant, Anton Andreev +3
We describe the experimental procedures for a dataset that we have made publicly available at https://doi.org/10.5281/zenodo.2649006 in mat and csv formats. This dataset contains e…