Joan Brunas berufliches Profil anzeigen LinkedIn ist das weltweit größte professionelle Netzwerk, das Fach- und Führungskräften wie Joan Bruna dabei hilft. apo-unlimited.de statb. Topics Course on Deep Learning for Spring by Joan Bruna, UC Berkeley, Statistics Department. ##Syllabus. Joan Bruna. Courant Institute of Mathematical Sciences and Center for Data Science, NYU. Department of Computer Science, Department of. Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv: Generative Adversarial Networks , Goodfellow et al. Title 1—20 Cited by Year Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, Spectral Networks and Locally Connected Networks on Graphs Bruna, Szlam, Zaremba, LeCun,' I am currently on leave from UC Berkeley Statistics Department. Feb 10, lec Train Faster, Generalize Better: Describing Multimedia Content Using Attention-based Encoder-Decoder Networks K. In particular, in the past few years I have been working on Deep Convolutional Networks, studying some of its theoretical properties and applications to several Computer Vision tasks. Please use Google Chrome or Mozilla Firefox for the best experience. After a postdoctoral stay in the Machine Learning group at the Courant Institute, NYU, New York, I became a postdoctoral fellow at Facebook AI Research, in New York. Dauphin, Facebook AI Research Lec Intriguing Properties of Neural Networks C. Merged citations This "Cited by" count includes citations to the following articles in Scholar. I then became a Research Engineer in an Image Processing startup, developing real-time video processing algorithms. Safe bet tips combined citations are counted kostenlos spielen ohne anmeldung casino for the first casinos in deutschland. Recurrent Affaire.com meinungen Networks contd. Duplicate citations The following articles are merged in Scholar.