Deep Randomized Neural Networks

27 February 2020

Papers citing "Deep Randomized Neural Networks"

28 / 28 papers shown

Title
Emergence of Structure in Ensembles of Random Neural Networks Luca Muscarnera Luigi Loreti Giovanni Todeschini Alessio Fumagalli Francesco Regazzoni 26 0 0 15 May 2025
Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience Zhonghao He Jascha Achterberg Katie Collins Kevin K. Nejad Danyal Akarca ... Chole Li Kai J. Sandbrink Stephen Casper Anna Ivanova Grace W. Lindsay AI4CE 28 1 0 22 Aug 2024
The Hyperdimensional Transform for Distributional Modelling, Regression and Classification Pieter Dewulf B. De Baets Michiel Stock 41 3 0 14 Nov 2023
Deep learning for dynamic graphs: models and benchmarks Alessio Gravina D. Bacciu GNN AI4CE 37 11 0 12 Jul 2023
Sampling weights of deep neural networks Erik Lien Bolager Iryna Burak Chinmay Datar Q. Sun Felix Dietrich BDL UQCV 19 16 0 29 Jun 2023
Randomly Initialized Subnetworks with Iterative Weight Recycling Matt Gorbett L. D. Whitley 26 4 0 28 Mar 2023
Neural Graph Revealers H. Shrivastava Urszula Chajewska BDL 31 6 0 27 Feb 2023
Coin Flipping Neural Networks Yuval Sieradzki Nitzan Hodos Gal Yehuda Assaf Schuster UQCV 27 3 0 18 Jun 2022
PRANC: Pseudo RAndom Networks for Compacting deep models Parsa Nooralinejad Ali Abbasi Soroush Abbasi Koohpayegani Kossar Pourahmadi Meibodi Rana Muhammad Shahroz Khan Soheil Kolouri Hamed Pirsiavash DD 29 0 0 16 Jun 2022
On gradient descent training under data augmentation with on-line noisy copies K. Hagiwara 13 0 0 08 Jun 2022
Asymptotic Stability in Reservoir Computing Jonathan Dong Erik Börve M. Rafayelyan M. Unser 14 5 0 07 Jun 2022
Physical Deep Learning with Biologically Plausible Training Method M. Nakajima Katsuma Inoue Kenji Tanaka Yasuo Kuniyoshi Toshikazu Hashimoto Kohei Nakajima AI4CE 26 3 0 01 Apr 2022
Euler State Networks: Non-dissipative Reservoir Computing Claudio Gallicchio 17 2 0 17 Mar 2022
Random vector functional link network: recent developments, applications, and future directions Anil Kumar Malik Ruobin Gao M. A. Ganaie M. Tanveer Ponnuthurai Nagaratnam Suganthan 14 104 0 13 Feb 2022
Eigenvalue Distribution of Large Random Matrices Arising in Deep Neural Networks: Orthogonal Case L. Pastur 19 5 0 12 Jan 2022
Learning Augmentation Distributions using Transformed Risk Minimization Evangelos Chatzipantazis Stefanos Pertigkiozoglou Kostas Daniilidis Edgar Dobriban 38 15 0 16 Nov 2021
Hyperdimensional Computing for Efficient Distributed Classification with Randomized Neural Networks A. Rosato Massimo Panella Denis Kleyko 25 18 0 02 Jun 2021
Randomly Initialized Convolutional Neural Network for the Recognition of COVID-19 using X-ray Images Safa Ben Atitallah Maha Driss W. Boulila Henda Ben Ghézala 30 42 0 17 May 2021
An Enhanced Randomly Initialized Convolutional Neural Network for Columnar Cactus Recognition in Unmanned Aerial Vehicle Imagery Safa Ben Atitallah Maha Driss W. Boulila Anis Koubaa Nesrine Atitallah Henda Ben Ghézala 21 6 0 10 May 2021
Compressing 1D Time-Channel Separable Convolutions using Sparse Random Ternary Matrices Gonçalo Mordido Matthijs Van Keirsbilck A. Keller 30 6 0 31 Mar 2021
Cluster-based Input Weight Initialization for Echo State Networks Peter Steiner A. Jalalvand P. Birkholz 18 13 0 08 Mar 2021
On the Post-hoc Explainability of Deep Echo State Networks for Time Series Forecasting, Image and Video Classification Alejandro Barredo Arrieta S. Gil-Lopez I. Laña Miren Nekane Bilbao Javier Del Ser AI4TS 36 13 0 17 Feb 2021
Reservoir Transformers Sheng Shen Alexei Baevski Ari S. Morcos Kurt Keutzer Michael Auli Douwe Kiela 29 17 0 30 Dec 2020
Universal Approximation in Dropout Neural Networks O. Manita M. Peletier J. Portegies J. Sanders Albert Senen-Cerda 15 10 0 18 Dec 2020
On Random Matrices Arising in Deep Neural Networks: General I.I.D. Case L. Pastur V. Slavin CML 22 12 0 20 Nov 2020
Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory S. H. Lim 24 16 0 19 Jun 2020
Reservoir Computing meets Recurrent Kernels and Structured Transforms Jonathan Dong Ruben Ohana M. Rafayelyan Florent Krzakala TPM 29 18 0 12 Jun 2020
Randomized Policy Learning for Continuous State and Action MDPs Hiteshi Sharma Rahul Jain 16 1 0 08 Jun 2020