1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022★ 1 cited
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research
Camille Gontier, Jakob Jordan, Mihai A. Petrovici
Image datasets are commonly used in psychophysical experiments and in machine learning research. Most publicly available datasets are comprised of images of realistic and natural o…
q-bio.QM2022
Efficient Sampling-Based Bayesian Active Learning for synaptic characterization
Camille Gontier, Simone Carlo Surace, Igor Delvendahl +2
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…