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Bookmark or Share- Electrical Flows, Laplacian Systems, and Faster Approximation of ...Aleksander Mądryy EPFL Daniel Spielmanz Yale University Shang-Hua Tengx University of Southern California July 29, 2013 Abstract We introduce a new approach to computing an approximately maximum s-tflow in a capaci-tated, undirected graph. This flow is computed by solving a sequence of electrical flow problems.
- Clean-Label Backdoor Attacks - Massachusetts Institute of TechnologyGenerative models such as GANs (Goodfellow et al., 2014a) and variational auto-encoders (VAEs) (Kingma & Welling, 2013) operate by learning an embedding of the data distribution into a small dimensional space. An important property of this embedding is that it is “semantically meaningful”.
- 6.046: Design and Analysis of Algorithms - Massachusetts Institute of ...Rachel Wu. These are my lecture notes from 6.046, Design and Analysis of Algorithms, at the Massachusetts Institute of Technology, taught this semester (Spring 2017) by Professors Debayan Gupta1, Aleksander Madry2, and Bruce Tidor3.
- 6.883 Science of Deep Learning: Bridging Theory and Practice -- Spring 2018Recent advances in deep learning have enabled us to make tremendous progress on a number of tasks in machine learning, computer vision, and robotics. However, a principled understanding of the roots of this success – as well as why and to what extent deep learning works – still eludes us.
- 6.883 Data-Driven Decision Making and Society — Spring 20216.883 Data-Driven Decision Making and Society — Spring 2021. Instructors: Aleksander Mądry, Asuman Ozdaglar and Shibani Santurkar. TA: Kai Xiao. Teaching staff email: 6883-team@lists.csail.mit.edu.
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