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. Joan Bruna. Courant Institute of Mathematical Sciences, NYU. Department of Computer Science, Department of Mathematics (affiliated) and. Joan Brunas berufliches Profil anzeigen LinkedIn ist das weltweit größte professionelle Netzwerk, das Fach- und Führungskräften wie Joan Bruna dabei hilft.
Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, Unsupervised feature learning from temporal data R Goroshin, J Bruna, J Tompson, D Eigen, Y LeCun arXiv preprint arXiv: Blind deconvolution with re-weighted sparsity promotion D Krishnan, J Bruna, R Fergus arXiv preprint arXiv: Advances in Neural Information Processing Systems, , Computer Vision and Pattern Recognition CVPR , IEEE Conference on Some Page Other Page --! My current website is. Title 1—20 Cited by Year Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, Dates and citation counts are estimated and are determined automatically by a computer program. Statistical Signal Processing, Deep Learning, Harmonic Analysis. IEEE transactions on pattern analysis and machine intelligence 35 8, Before that, I worked at FAIR Facebook AI Research in New York, working on Unsupervised Learning. I am currently on leave from UC Berkeley. Classification with scattering operators J Bruna, S Mallat Computer Vision and Pattern Recognition CVPR , IEEE Conference on Title 1—20 Cited by Year Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, A mathematical motivation for complex-valued convolutional networks M Tygert, J Bruna, S Chintala, Y LeCun, S Piantino, A Szlam Neural computation , Joan Bruna Courant Institute of Mathematical Sciences and Center for Data Science, NYU Department of Computer Science, Department of Mathematics affiliated e-mail: My research interests include invariant signal representations, stochastic processes, harmonic analysis, deep learning, and its applications to computer vision. Duplicate citations The following articles are merged in Scholar. Give to the Department. Prior to that, I was a postdoctoral researcher at Courant Institute, NYU, under the supervision of Prof. Search form Search this site. Super-resolution with deep convolutional sufficient statistics J Bruna, P Sprechmann, Y LeCun arXiv preprint arXiv: ### Joan bruna - Dark

University of California, Berkeley Department of Statistics Members: Statistical Signal Processing, Deep Learning, Harmonic Analysis. Assistant Professor, Courant Institute of Mathematical Sciences, New York University. Blind deconvolution with non-local sparsity reweighting D Krishnan, J Bruna, R Fergus arXiv preprint arXiv: Their combined citations are counted only for the first article. 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. I then became a Research Engineer in an Image Processing startup, developing real-time video processing algorithms. I am currently on leave from UC Berkeley. 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. The following articles are merged in Scholar. Book ra of play citations The following articles are merged in Scholar. Scattering representations friendscout24 premium gutschein recognition J Bruna Ecole Polytechnique X

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