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Neural networks
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1	Reachability Analysis of Deep Neural Networks with Provable Guarantees Wenjie Ruan1 , Xiaowei Huang2 , Marta Kwiatkowska1 Department of Computer Science, University of Oxford, UK 2 Department of Computer Science, Univers Add to Reading List Source URL: qav.comlab.ox.ac.uk Language: English - Date: 2018-05-14 04:41:41 Artificial neural networks Mathematics Computational neuroscience Applied mathematics Mathematical analysis Lipschitz continuity operator Continuous function Gradient descent Convolutional neural network Rectifier Deep learning
2	Large Scale Training and Optimization of Neural Networks and Generative Adversarial Networks over Distributed Resource CLIC GAN : S. Vallecorsa, G. Khattak, F. Carminati, M. Pierini SurfSara : V. Codreanu, D. Podareanu Add to Reading List Source URL: indico.cern.ch Language: English Machine learning Computational neuroscience Applied mathematics Numerical analysis Computational statistics Artificial neural networks Stochastic gradient descent Deep learning Mathematical optimization Generative adversarial network Neural network Training test and validation sets
3	Deep Neural Networks Predict Category Typicality Ratings for Images Brenden M. Lake Wojciech Zaremba Rob Fergus Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2015-05-04 15:17:21 Computational neuroscience Artificial intelligence Applied mathematics Artificial neural networks Neuroscience Cybernetics Neural network software Neural networks Convolutional neural network AlexNet Deep learning ImageNet
4	CogniSight SDK User’s Manual IMAGE RECOGNITION BASED ON NEUROMEM NEURAL NETWORKS Version 5.3 Add to Reading List Source URL: www.general-vision.com Language: English - Date: 2018-09-10 13:57:45 C Computing INT Interrupts Programming language syntax Computer programming Software engineering Stride of an array Hooking
5	Blockchain For Financial Markets Applications and Services Harnessing the Power of Artificial Intelligence, Neural Networks and Active Leverage “At its core Qompass will provide a rich ecosystem of API protocols and Add to Reading List Source URL: icorating.com Language: English Cryptocurrencies Blockchains Computing Alternative currencies Concurrent computing Distributed computing Ethereum Cross-platform software Smart contract Bitcoin Hyperledger ternity
6	This Talk § 1) Node embeddings § Map nodes to low-dimensional embeddings. § 2) Graph neural networks Add to Reading List Source URL: snap.stanford.edu Language: English - Date: 2018-04-25 02:50:04 Artificial neural networks Machine learning Applied mathematics Mathematics Artificial intelligence Topological graph theory Market research Feature learning Deep learning Graph embedding Word embedding
7	Learning Inductive Biases with Simple Neural Networks Reuben Feinman () Center for Neural Science New York University Abstract People use rich prior knowledge about the world in order to Add to Reading List Source URL: cims.nyu.edu Language: English - Date: 2018-06-05 14:44:05 Artificial neural networks Computational neuroscience Artificial intelligence Learning Applied mathematics Machine learning Computational statistics Computer vision Convolutional neural network Deep learning Concept learning One-shot learning
8	Poster: An Analysis of Targeted Password Guessing Using Neural Networks Huan Zhou, Qixu Liu, Fangjiao Zhang Institute of Information Engineering, Chinese Academy of Sciences School of Cyber Security, University of Chines Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2017-05-13 08:13:56 Cryptography Obfuscation Computer security Password Security Cyberwarfare Salt Identity management Password policy Password fatigue
9	Towards Evaluating the Robustness of Neural Networks Nicholas Carlini David Wagner University of California, Berkeley A BSTRACT Add to Reading List Source URL: www.ieee-security.org Language: English - Date: 2017-04-03 16:02:30 Artificial neural networks Applied mathematics Cybernetics Mathematics Deep learning CIFAR-10 MNIST database Rectifier Softmax function Feedforward neural network Gradient descent Activation function
10	Mixture Density Networks Christopher M. Bishop Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University Add to Reading List Source URL: publications.aston.ac.uk Language: English - Date: 2017-02-05 19:13:20 Mathematical analysis Probability and statistics Probability theory Machine learning Computational neuroscience Computational statistics Artificial neural networks Bayesian statistics Gaussian function Mixture model Mixture distribution Joint probability distribution

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