Status  Confirmed 
Seminar Series  COURS 
Subjects  condmat,qbio 
Date  Friday 25 May 2018 
Time  10:00 
Institute  IPHT 
Seminar Room  Salle Claude Itzykson, Bât. 774 
Speaker's Last Name  Rémi Monasson 
Speaker's First Name  
Speaker's Email Address  
Speaker's Institution  ENS Paris 
Title  Unsupervised neural networks: from theory to systems biology (3/5) 
Abstract  Artificial neural networks, introduced decades ago, are now key tools for automatic learning from data. This series of six lectures will focus on a few neural network architectures used in the context of unsupervised learning, that is, of unlabeled data. \par In particular we will focus on dimensional reduction, feature extraction, and representation building. We will see how statistical physics, in particular the techniques and concepts of random matrix theory and disordered systems, can be used to understand the properties of these algorithms and the phase transitions taking place in their operation. \par Special attention will be devoted to the socalled highdimensional inference setting, where the numbers of data samples and of defining parameters of the neural nets are comparable. The general principles will be illustrated on recent applications to data coming from neuroscience and genomics, highlighting the potentialities of unsupervised learning for biology. \par Some issues: \\  What is unsupervised learning? \\  Hebbian learning for principal component analysis: retardedlearning phase transition and prior information. \\  Bipartite neural nets and representations: autoencoders, restricted Boltzmann machines, Boltzmann machines. \\  Recurrent neural nets: from point to finitedimensional attractors, temporal sequences. 
arXiv Preprint Number  
Comments  https://courses.ipht.cnrs.fr/?q=fr/node/197 
Attachments 
To Generate a poster for this seminar : [ Postscript  PDF ]

[ English version ] 