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Joan bruna

joan bruna

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. Joan Bruna. Courant Institute of Mathematical Sciences and Center for Data Science, NYU. Department of Computer Science, Department of  ‎ Publications · ‎ Teaching · ‎ Code. Joan Bruna. Assistant Professor. Primary Research Area: Applied & Theoretical Statistics. Sub-Focus: Machine Learning. Research Interests: Statistical Signal. Recurrent Neural Networks contd. I then became a Research Engineer in an Image Processing startup, developing real-time video processing algorithms. Signal Processing , Machine Learning , Deep Learning , Stochastic Processes , Harmonic Analysis. Help Privacy Terms Provide feedback Get my own profile. This "Cited by" count includes citations to the following articles in Scholar. You can get more details by visiting my Research page. Connections with other models: joan bruna Help Privacy Terms Provide feedback Get my own profile. Deep Metric Learning via Lifted Structured Feature Embedding Oh Song, Xiang, Jegelka, Savarese,' Joan Bruna Courant Institute of Mathematical Sciences and Center for Data Science, NYU Department of Computer Science, Department of Mathematics affiliated e-mail: Object Detection with Discriminatively Trained Deformable Parts Model Felzenswalb, Girshick, McAllester and Ramanan, PAMI'10 Deformable Parts Models are Convolutional Neural Networks , Girshick, Iandola, Darrel and Malik, CVPR' IEEE transactions on pattern analysis and machine intelligence 35 8 , , Statistical Signal Processing, Deep Learning, Harmonic Analysis.

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Some Page Other Page --! Their combined citations are counted only for the first article. Bubeck Optimization, Simons Big Data Boot Camp B. A mathematical motivation for complex-valued convolutional networks M Tygert, J Bruna, S Chintala, Y LeCun, S Piantino, A Szlam Neural computation , This "Cited by" count includes citations to the following articles in Scholar. Yann Dauphin Facebook AI Research Schedule Lec1 Jan Blind deconvolution with re-weighted sparsity promotion D Krishnan, J Bruna, R Fergus arXiv preprint arXiv: Some Page Other Page --! Computer Vision and Pattern Recognition CVPR , IEEE Conference on Beating the Perils of non-convexity: A mathematical motivation for complex-valued convolutional networks Tygert et al.

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