Search Results for author: Patrick Dallaire

Found 3 papers, 1 papers with code

Implicit Variational Inference: the Parameter and the Predictor Space

no code implementations24 Oct 2020 Yann Pequignot, Mathieu Alain, Patrick Dallaire, Alireza Yeganehparast, Pascal Germain, Josée Desharnais, François Laviolette

Relying on a family of distributions given by a deep generative neural network, we present two ways of carrying variational inference: one in \emph{parameter space}, one in \emph{predictor space}.

Variational Inference

The Indian Chefs Process

no code implementations29 Jan 2020 Patrick Dallaire, Luca Ambrogioni, Ludovic Trottier, Umut Güçlü, Max Hinne, Philippe Giguère, Brahim Chaib-Draa, Marcel van Gerven, Francois Laviolette

This paper introduces the Indian Chefs Process (ICP), a Bayesian nonparametric prior on the joint space of infinite directed acyclic graphs (DAGs) and orders that generalizes Indian Buffet Processes.

Tree bark re-identification using a deep-learning feature descriptor

1 code implementation6 Dec 2019 Martin Robert, Patrick Dallaire, Philippe Giguère

Oftentimes, it relies on collections of visual signatures based on descriptors, such as SIFT or SURF.

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