Search Results for author: Camille Gontier

Found 2 papers, 1 papers with code

DELAUNAY: a dataset of abstract art for psychophysical and machine learning research

1 code implementation28 Jan 2022 Camille Gontier, Jakob Jordan, Mihai A. Petrovici

This dataset provides a middle ground between natural images and artificial patterns and can thus be used in a variety of contexts, for example to investigate the sample efficiency of humans and artificial neural networks.

BIG-bench Machine Learning

Efficient Sampling-Based Bayesian Active Learning for synaptic characterization

no code implementations19 Jan 2022 Camille Gontier, Simone Carlo Surace, Igor Delvendahl, Martin Müller, Jean-Pascal Pfister

Bayesian Active Learning (BAL) is an efficient framework for learning the parameters of a model, in which input stimuli are selected to maximize the mutual information between the observations and the unknown parameters.

Active Learning

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