- Our convent paper is out in Neuroimage !
- http://www.sciencedirect.com/science/article/pii/S1053811916305481
- •Convolutional network image representations of different layer depth explain brain activity throughout the full ventral visual stream.
- •This mapping follows the known hierarchical organisation.
- •Results from both static images and video stimuli.
- •A model of brain activity for the full brain, based on the convolutional network, can synthesize brain maps for other visual experiments.
- •Only deep models can reproduce observed BOLD activity.
Gael Varoquaux @ GDR ISIS
Gael gave a lecture entitled “Machine learning extracts neuro-phenotypes from the brain at rest” at GDR Isis. More information here: http://www.gdr-isis.fr/index.php?page=reunion&idreunion=320
Parietal@Startup Weekend Intelligence Artificielle
Loic Estève is taking part to the event, organized by Inria. https://www.facebook.com/Inria.fr/posts/1201355083241139
L. Estève @ Budapest BI 2017
Loic will discuss recent developments in Scikit Learn and Joblib.
http://budapestbiforum.hu/2016/en/x-presentations/recent-developments-in-scikit-learn-and-joblib-loic-esteve-inria/
Loïc Estève at Budapest BI
Loïc Estève will give a scikit-learn tutorial and a talk about scikit-learn and joblib recent developments at Budapest BI:
http://budapestbiforum.hu/2016/en/x-presentations/recent-developments-in-scikit-learn-and-joblib-loic-esteve-inria/
B. Thirion gave a lecture at the summer school of french neuroscience institute
Bertrand discussed the role of big data approaches in neuroimaging (Oct 8th).
https://itneuro.aviesan.fr/index.php?pagendx=999
Recommender meet -up: presentation by A. Mensch
Arthur has given a presentation at the recommender meet-up (http://recommenders.fr) at Criteo on October 6th to present his recent work on fast large-scale sparse matrix factorization. The slides are here: http://www.slideshare.net/recsysfr/dictionary-learning-for-massive-matrix-factorization.
Olivier Grisel at Microsoft experiences’16
Olivier will discuss the practical use of machine learning for data analysis:
https://experiences.microsoft.fr/Event/session/machine-learning-etat-de-lart-et-mise-en-oeuv/455f41ea-7f43-e611-80c3-000d3a222f59#htruJsDxFaEcLUSy.97
Scikit-learn 0.18 is out !
See more information here. May thanks to the development team !
“Unithé ou café” — understanding how we think : big data applied to brain imaging
The next “Unithé ou Café” meeting (Inria Saclay) will take place on Thursday, Sept. 29th in Sophie Germain amphitheater of Alan Turing building. More information here.