Joan bruna

joan bruna

Abstract: Recorded at UPC BarcelonaTech, Barcelona (23 May ) Convolutional Neural Networks are a. I am a Ph.D. student at CMAP, École Polytechnique, under the supervision of Professor Stéphane Mallat. My PhD focuses on the construction of invariant signal. I am currently on leave from UC Berkeley. My current position is Assistant Professor at the Courant Institute, NYU, jointly in the Departments of Computer Science.

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IEEE Signal Processing Magazine 34 4 , , Intermittent process analysis with scattering moments J Bruna, S Mallat, E Bacry, JF Muzy The Annals of Statistics 43 1 , , Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, The Mad Math and Data group , with the focus to work on the mathematical and statistical foundations of High-dimensional Data Analysis and Machine Learning. Other high level tasks: Before that, I worked at FAIR Facebook AI Research in New York, working on Unsupervised Learning. Pixel Recurrent Neural Networks A. Batch Normalization, Tensor Decompositions. Blind deconvolution with non-local sparsity reweighting D Krishnan, J Bruna, R Fergus arXiv preprint arXiv: The Mad Math and Data group , with the focus to work on the mathematical and statistical foundations of High-dimensional Data Analysis and Machine Learning. Some Page Other Page --! Rich Feature Hierarchies for accurate object detection and semantic segmentation Girshick, Donahue, Darrel and Malik, PAMI' Their combined citations are counted only for the first article. The system can't perform the operation now. LeCun Task Driven Dictionary Learning J. Variational Inference with Stochastic Search J. Spectral networks and locally connected networks on graphs J Bruna, W Zaremba, A Szlam, Y LeCun arXiv preprint arXiv:

Joan bruna Video

ICLR14: J Bruna: Spectral Networks and Locally Connected Networks on Graphs joan bruna Connections with other models DL, Lista, Random Forests, CART. Before my PhD I was a Research Engineer at a semi-conductor company, developing real-time video processing algorithms. Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks Radford, Metz, Chintala. Prior to that, I was a postdoctoral researcher at Courant Institute, NYU, under the supervision of Prof. Advances in Neural Information Processing Systems, , Scattering representations for recognition J Bruna Ecole Polytechnique X ,

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