Why does deep and cheap learning work so well?

29 August 2016

Papers citing "Why does deep and cheap learning work so well?"

29 / 79 papers shown

Title
Tree Tensor Networks for Generative Modeling Song Cheng Lei Wang Tao Xiang Pan Zhang 11 129 0 08 Jan 2019
How deep is deep enough? -- Quantifying class separability in the hidden layers of deep neural networks Junhong Lin C. Metzner Andreas K. Maier V. Cevher Holger Schulze Patrick Krauss 21 56 0 05 Nov 2018
Thermodynamics and Feature Extraction by Machine Learning S. Funai D. Giataganas DRL AI4CE 16 34 0 18 Oct 2018
$Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks$ Learning to fail: Predicting fracture evolution in brittle material models using recurrent graph convolutional neural networks Max Schwarzer Bryce Rogan Yadong Ruan Zhengming Song Diana Lee ... V. Chau B. Moore E. Rougier Hari S. Viswanathan G. Srinivasan AI4CE 12 70 0 14 Oct 2018
Bayesian Deep Convolutional Networks with Many Channels are Gaussian Processes Roman Novak Lechao Xiao Jaehoon Lee Yasaman Bahri Greg Yang Jiri Hron Daniel A. Abolafia Jeffrey Pennington Jascha Narain Sohl-Dickstein UQCV BDL 25 306 0 11 Oct 2018
Towards WARSHIP: Combining Components of Brain-Inspired Computing of RSH for Image Super Resolution Wendi Xu Ming Zhang 25 1 0 03 Oct 2018
Universal Approximation with Quadratic Deep Networks Fenglei Fan Jinjun Xiong Ge Wang PINN 36 78 0 31 Jul 2018
The Loss Surface of XOR Artificial Neural Networks D. Mehta Xiaojun Zhao Edgar A. Bernal D. Wales 34 19 0 06 Apr 2018
Enforcing constraints for interpolation and extrapolation in Generative Adversarial Networks P. Stinis Tobias J. Hagge A. Tartakovsky Enoch Yeung GAN AI4CE 56 33 0 22 Mar 2018
Neural Network Renormalization Group Shuo-Hui Li Lei Wang BDL DRL 29 126 0 08 Feb 2018
Deep Learning Works in Practice. But Does it Work in Theory? L. Hoang R. Guerraoui PINN 33 3 0 31 Jan 2018
Scale-invariant Feature Extraction of Neural Network and Renormalization Group Flow S. Iso Shotaro Shiba Sumito Yokoo OOD AI4CE 32 70 0 22 Jan 2018
Information Perspective to Probabilistic Modeling: Boltzmann Machines versus Born Machines Song Cheng J. Chen Lei Wang 24 101 0 12 Dec 2017
An efficient quantum algorithm for generative machine learning Xun Gao Zhengyu Zhang L. Duan 13 25 0 06 Nov 2017
Approximating Continuous Functions by ReLU Nets of Minimal Width Boris Hanin Mark Sellke 39 229 0 31 Oct 2017
How deep learning works --The geometry of deep learning Xiao Dong Jiasong Wu Ling Zhou GNN 35 8 0 30 Oct 2017
Tensor network language model V. Pestun Yiannis Vlassopoulos 23 36 0 27 Oct 2017
Nonlinear Interference Mitigation via Deep Neural Networks Christian Hager H. Pfister 29 138 0 17 Oct 2017
Tensor Networks for Dimensionality Reduction and Large-Scale Optimizations. Part 2 Applications and Future Perspectives A. Cichocki Anh-Huy Phan Qibin Zhao Namgil Lee Ivan Oseledets Masashi Sugiyama Danilo P. Mandic 26 296 0 30 Aug 2017
Do Neural Nets Learn Statistical Laws behind Natural Language? Shuntaro Takahashi Kumiko Tanaka-Ishii 35 27 0 16 Jul 2017
The power of deeper networks for expressing natural functions David Rolnick Max Tegmark 36 174 0 16 May 2017
Mutual Information, Neural Networks and the Renormalization Group M. Koch-Janusz Zohar Ringel DRL AI4CE 6 176 0 20 Apr 2017
Design of the Artificial: lessons from the biological roots of general intelligence Nima Dehghani AI4CE 14 2 0 07 Mar 2017
Bayesian Boolean Matrix Factorisation Tammo Rukat Chris C. Holmes Michalis K. Titsias C. Yau 24 31 0 20 Feb 2017
Equivalence of restricted Boltzmann machines and tensor network states Martín Arjovsky Song Cheng Haidong Xie Léon Bottou Tao Xiang 24 225 0 17 Jan 2017
The Upper Bound on Knots in Neural Networks Kevin K. Chen 26 14 0 29 Nov 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 31 73 0 19 Nov 2016
Deep Convolutional Neural Network for Inverse Problems in Imaging Kyong Hwan Jin Michael T. McCann Emmanuel Froustey M. Unser 15 2,103 0 11 Nov 2016
Exact maximum-entropy estimation with Feynman diagrams T. Schlank Ran J. Tessler Amitai Netser Zernik 20 0 0 01 Dec 2015