Universal Approximation with Quadratic Deep Networks

31 July 2018

Papers citing "Universal Approximation with Quadratic Deep Networks"

10 / 10 papers shown

Title
Hadamard product in deep learning: Introduction, Advances and Challenges Grigorios G. Chrysos Yongtao Wu Razvan Pascanu Philip Torr V. Cevher AAML 98 0 0 17 Apr 2025
Neural Networks Trained by Weight Permutation are Universal Approximators Yongqiang Cai Gaohang Chen Zhonghua Qiao 69 1 0 01 Jul 2024
Classification with neural networks with quadratic decision functions Leon Frischauf O. Scherzer Cong Shi 9 0 0 19 Jan 2024
One Neuron Saved Is One Neuron Earned: On Parametric Efficiency of Quadratic Networks Fenglei Fan Hangcheng Dong Zhongming Wu Lecheng Ruan T. Zeng Yiming Cui Jing-Xiao Liao 59 8 0 11 Mar 2023
Sound and Complete Verification of Polynomial Networks Elias Abad Rocamora Mehmet Fatih Şahin Fanghui Liu Grigorios G. Chrysos V. Cevher 23 5 0 15 Sep 2022
Interpretable Polynomial Neural Ordinary Differential Equations Colby Fronk Linda R. Petzold 27 27 0 09 Aug 2022
Plant Species Recognition with Optimized 3D Polynomial Neural Networks and Variably Overlapping Time-Coherent Sliding Window Habib Ben Abdallah C. Henry S. Ramanna 36 2 0 04 Mar 2022
Tailored neural networks for learning optimal value functions in MPC Dieter Teichrib M. S. Darup 26 4 0 07 Dec 2021
On a Sparse Shortcut Topology of Artificial Neural Networks Fenglei Fan Dayang Wang Hengtao Guo Qikui Zhu Pingkun Yan Ge Wang Hengyong Yu 38 22 0 22 Nov 2018
Benefits of depth in neural networks Matus Telgarsky 148 602 0 14 Feb 2016