Thermodynamic limit in learning period three

12 May 2024

Papers citing "Thermodynamic limit in learning period three"

25 / 25 papers shown

Title
Trans-Bifurcation Prediction of Dynamics in terms of Extreme Learning Machines with Control Inputs Satoru Tadokoro Akihiro Yamaguchi Takao Namiki Ichiro Tsuda AI4CE 22 1 0 17 Oct 2024
The Positivity of the Neural Tangent Kernel Luís Carvalho Joao L. Costa José Mourao Gonccalo Oliveira 58 2 0 19 Apr 2024
Seeing double with a multifunctional reservoir computer Andrew Flynn V. Tsachouridis Andreas Amann 27 7 0 09 May 2023
Embedding bifurcations into pneumatic artificial muscle Nozomi Akashi Yasuo Kuniyoshi Taketomo Jo Mitsuhiro Nishida Ryo Sakurai Yasumichi Wakao Kohei Nakajima AI4CE 24 8 0 06 May 2023
Fast Neural Kernel Embeddings for General Activations Insu Han A. Zandieh Jaehoon Lee Roman Novak Lechao Xiao Amin Karbasi 70 19 0 09 Sep 2022
Asymptotic Stability in Reservoir Computing Jonathan Dong Erik Börve M. Rafayelyan M. Unser 32 5 0 07 Jun 2022
Kernel Methods and Multi-layer Perceptrons Learn Linear Models in High Dimensions Mojtaba Sahraee-Ardakan M. Emami Parthe Pandit S. Rangan A. Fletcher 64 9 0 20 Jan 2022
Learning strange attractors with reservoir systems Lyudmila Grigoryeva Allen G. Hart Juan-Pablo Ortega 34 27 0 11 Aug 2021
Model-free inference of unseen attractors: Reconstructing phase space features from a single noisy trajectory using reservoir computing André Röhm D. Gauthier Ingo Fischer 68 39 0 06 Aug 2021
Anticipating synchronization with machine learning Huawei Fan Ling-Wei Kong Y. Lai Xingang Wang 31 55 0 13 Mar 2021
Machine learning prediction of critical transition and system collapse Ling-Wei Kong Hua-wei Fan C. Grebogi Y. Lai 23 84 0 02 Dec 2020
Multifunctionality in a Reservoir Computer Andrew Flynn V. Tsachouridis Andreas Amann 20 28 0 10 Aug 2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms Jonathan Dong Ruben Ohana M. Rafayelyan Florent Krzakala TPM 51 20 0 12 Jun 2020
Physical reservoir computing -- An introductory perspective Kohei Nakajima 69 310 0 03 May 2020
Theory of neuromorphic computing by waves: machine learning by rogue waves, dispersive shocks, and solitons G. Marcucci D. Pierangeli Claudio Conti 96 113 0 15 Dec 2019
Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions Tim Pearce Russell Tsuchida Mohamed H. Zaki Alexandra Brintrup A. Neely BDL 32 48 0 15 May 2019
On Exact Computation with an Infinitely Wide Neural Net Sanjeev Arora S. Du Wei Hu Zhiyuan Li Ruslan Salakhutdinov Ruosong Wang 178 915 0 26 Apr 2019
Surprises in High-Dimensional Ridgeless Least Squares Interpolation Trevor Hastie Andrea Montanari Saharon Rosset Robert Tibshirani 146 737 0 19 Mar 2019
Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent Jaehoon Lee Lechao Xiao S. Schoenholz Yasaman Bahri Roman Novak Jascha Narain Sohl-Dickstein Jeffrey Pennington 170 1,089 0 18 Feb 2019
A Continuous-Time View of Early Stopping for Least Squares Alnur Ali J. Zico Kolter Robert Tibshirani 51 96 0 23 Oct 2018
Just Interpolate: Kernel "Ridgeless" Regression Can Generalize Tengyuan Liang Alexander Rakhlin 56 353 0 01 Aug 2018
Neural Tangent Kernel: Convergence and Generalization in Neural Networks Arthur Jacot Franck Gabriel Clément Hongler 213 3,160 0 20 Jun 2018
High-dimensional dynamics of generalization error in neural networks Madhu S. Advani Andrew M. Saxe AI4CE 128 468 0 10 Oct 2017
A Random Matrix Approach to Neural Networks Cosme Louart Zhenyu Liao Romain Couillet 59 161 0 17 Feb 2017
Self-organized adaptation of a simple neural circuit enables complex robot behaviour S. Steingrube M. Timme Florentin Wörgötter P. Manoonpong 50 332 0 06 May 2011