On the choice of the non-trainable internal weights in random feature maps

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On the choice of the non-trainable internal weights in random feature maps

7 August 2024

Nicholas Cranch

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Papers citing "On the choice of the non-trainable internal weights in random feature maps"

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Title
Hyperparameter Optimization for Randomized Algorithms: A Case Study on Random Features Oliver R. A. Dunbar Nicholas H. Nelsen Maya Mutic 129 7 0 30 Jun 2024
Combining machine learning and data assimilation to forecast dynamical systems from noisy partial observations Georg Gottwald Sebastian Reich AI4CE 94 38 0 08 Aug 2021
A Framework for Machine Learning of Model Error in Dynamical Systems Matthew E. Levine Andrew M. Stuart 85 69 0 14 Jul 2021
Next Generation Reservoir Computing D. Gauthier Erik Bollt Aaron Griffith W. A. S. Barbosa 86 415 0 14 Jun 2021
Fading memory echo state networks are universal Lukas Gonon Juan-Pablo Ortega 68 58 0 22 Oct 2020
Supervised learning from noisy observations: Combining machine-learning techniques with data assimilation Georg Gottwald Sebastian Reich AI4CE 44 63 0 14 Jul 2020
The Random Feature Model for Input-Output Maps between Banach Spaces Nicholas H. Nelsen Andrew M. Stuart 90 144 0 20 May 2020
Random Features for Kernel Approximation: A Survey on Algorithms, Theory, and Beyond Fanghui Liu Xiaolin Huang Yudong Chen Johan A. K. Suykens BDL 122 175 0 23 Apr 2020
Understanding LSTM -- a tutorial into Long Short-Term Memory Recurrent Neural Networks R. C. Staudemeyer Eric Rothstein Morris 59 492 0 12 Sep 2019
Variational training of neural network approximations of solution maps for physical models Yingzhou Li Jianfeng Lu Anqi Mao GAN 65 36 0 07 May 2019
EA-LSTM: Evolutionary Attention-based LSTM for Time Series Prediction Youru Li Zhenfeng Zhu Deqiang Kong Jinhyuk Lee Yao Zhao AI4TS 82 366 0 09 Nov 2018
Fundamentals of Recurrent Neural Network (RNN) and Long Short-Term Memory (LSTM) Network A. Sherstinsky 115 3,749 0 09 Aug 2018
Echo state networks are universal Lyudmila Grigoryeva Juan-Pablo Ortega 76 232 0 03 Jun 2018
Regularization for Deep Learning: A Taxonomy J. Kukačka Vladimir Golkov Daniel Cremers 88 336 0 29 Oct 2017
Hit-and-Run for Sampling and Planning in Non-Convex Spaces Yasin Abbasi-Yadkori Peter L. Bartlett Victor Gabillon Alan Malek 49 14 0 19 Oct 2016
Gaussian Error Linear Units (GELUs) Dan Hendrycks Kevin Gimpel 174 5,049 0 27 Jun 2016
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 607 12,745 0 11 Dec 2014