1 citations · 2 across the 4 of their papers we have counts for
4 papers
Robust and highly scalable estimation of directional couplings from time-shifted signals
Louis Rouillard, Luca Ambrogioni, Demian Wassermann
The estimation of directed couplings between the nodes of a network from indirect measurements is a central methodological challenge in scientific fields such as neuroscience, syst…
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…
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…