Orthogonal Recurrent Neural Networks with Scaled Cayley Transform

29 July 2017

Papers citing "Orthogonal Recurrent Neural Networks with Scaled Cayley Transform"

10 / 10 papers shown

Title
Compact Recurrent Transformer with Persistent Memory Edison Mucllari Z. Daniels David C. Zhang Qiang Ye CLL VLM 46 0 0 02 May 2025
HadamRNN: Binary and Sparse Ternary Orthogonal RNNs Armand Foucault Franck Mamalet François Malgouyres MQ 64 0 0 28 Jan 2025
Scalable Neural Network Kernels Arijit Sehanobish Krzysztof Choromanski Yunfan Zhao Kumar Avinava Dubey Valerii Likhosherstov 24 4 0 20 Oct 2023
Fading memory as inductive bias in residual recurrent networks I. Dubinin Felix Effenberger 23 4 0 27 Jul 2023
Feedback Gradient Descent: Efficient and Stable Optimization with Orthogonality for DNNs Fanchen Bu D. Chang 6 6 0 12 May 2022
Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes Yunjiang Jiang Han Zhang Yiming Qiu Yun Xiao Bo Long Wen-Yun Yang 11 5 0 09 Mar 2022
Distributed neural network control with dependability guarantees: a compositional port-Hamiltonian approach Luca Furieri C. Galimberti M. Zakwan Giancarlo Ferrari-Trecate 11 20 0 16 Dec 2021
Target Propagation via Regularized Inversion Vincent Roulet Zaïd Harchaoui BDL AAML 11 4 0 02 Dec 2021
Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing Bing Han Cheng Wang Kaushik Roy 20 7 0 14 Sep 2021
Learning Unitary Operators with Help From u(n) Stephanie L. Hyland Gunnar Rätsch 83 42 0 17 Jul 2016