92 citations · 180 across the 19 of their papers we have counts for
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stat.ML2023
FineMorphs: Affine-diffeomorphic sequences for regression
Michele Lohr, Laurent Younes
A multivariate regression model of affine and diffeomorphic transformation sequences - FineMorphs - is presented. Leveraging concepts from shape analysis, model states are optimall…
stat.ML2022
A generative neural network model for random dot product graphs
Vittorio Loprinzo, Laurent Younes
We present GraphMoE, a novel neural network-based approach to learning generative models for random graphs. The neural network is trained to match the distribution of a class of ra…
stat.ML2018★ 5 cited
Diffeomorphic Learning
Laurent Younes
We introduce in this paper a learning paradigm in which the training data is transformed by a diffeomorphic transformation before prediction. The learning algorithm minimizes a cos…