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Neural Networks : the Official Journal of the International Neural Network Society|September 2, 2016
A theory of local learning, the learning channel, and the optimality of backpropagationPierre Baldi, Peter Sadowski
Neural Computation|June 7, 2019
Temporal Evolution of Generalization during Learning in Linear NetworksPierre Baldi, Yves Chauvin
Neural Networks : the Official Journal of the International Neural Network Society|May 25, 2019
The capacity of feedforward neural networksPierre Baldi, Roman Vershynin
Neural Networks : the Official Journal of the International Neural Network Society|October 5, 2021
A theory of capacity and sparse neural encodingPierre Baldi, Roman Vershynin
Neural Computation|June 7, 2019
Contrastive Learning and Neural OscillationsPierre Baldi, Fernando Pineda
Bioinformatics (Oxford, England)|April 25, 2013
A unifying kinetic framework for modeling oxidoreductase-catalyzed reactionsIvan Chang, Pierre Baldi
Artificial Intelligence|April 29, 2014
The Dropout Learning AlgorithmPierre Baldi, Peter Sadowski
Neural Networks : the Official Journal of the International Neural Network Society|January 19, 2010
Of bits and wows: A Bayesian theory of surprise with applications to attentionPierre Baldi, Laurent Itti
Vision Research|October 7, 2008
Bayesian surprise attracts human attentionLaurent Itti, Pierre Baldi
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