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1 Battistin, Claudia.
Dynamics of randomly connected neural networks and inference in the presence of hidden nodes. : Doktoravhandlinger ved NTNU 2018 (ISBN 978-82-326-3548-1) 118 s.
NTNU Untitled
2 Beretta, Alberto; Battistin, Claudia; de Mulatier, Clelia; Mastromatteo, Iacopo; Marsili, Matteo.
The Stochastic Complexity of Spin Models: Are Pairwise Models Really Simple?. Entropy 2018 ;Volum 20.(10) s. 1-27
NTNU Untitled
3 Battistin, Claudia; Dunn, Benjamin Adric; Roudi, Yasser.
Learning with unknowns: analyzing biological data in the presence of hidden variables. Current Opinion in Systems Biology 2017
NTNU Untitled
4 Dunn, Benjamin Adric; Battistin, Claudia.
The appropriateness of ignorance in the inverse kinetic Ising model. Journal of Physics A: Mathematical and Theoretical 2017 ;Volum 50.(12)
NTNU Untitled
5 Bachschmid-Romano, Ludovica; Battistin, Claudia; Opper, Manfred; Roudi, Yasser.
Variational perturbation and extended Plefka approaches to dynamics on random networks: the case of the kinetic Ising model. Journal of Physics A: Mathematical and Theoretical 2016 ;Volum 49:434003.(43) s. 1-34
NTNU Untitled
6 Battistin, Claudia; Hertz, John; Tyrcha, Joanna; Roudi, Yasser.
Belief propagation and replicas for inference and learning in a kinetic Ising model with hidden spins. Journal of Statistical Mechanics: Theory and Experiment 2015 ;Volum 2015. s. -
NTNU Untitled