Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks-Reference-Cited by-同舟云学术

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Bayesian Optimization Using Hamiltonian Dynamics for Sparse Artificial Neural Networks

Published:2022-03-28 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 19th International Symposium on Biomedical Imaging (ISBI)
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Author:

Fakhfakh Mohamed¹,Bouaziz Bassem²,Gargouri Faiez²,Chaari Lotfi¹

Affiliation:

1. University of Toulouse, INP, IRIT,France

2. University of Sfax - MIRACL Laboratory – Tunisia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9761376/9761399/09761469.pdf?arnumber=9761469

Reference8 articles.

1. Handbook of Markov Chain Monte Carlo

2. A Study of the Optimization Algorithms in Deep Learning

3. A Plug and Play Bayesian Algorithm for Solving Myope Inverse Problems

4. A Hamiltonian Monte Carlo Method for Non-Smooth Energy Sampling

5. A variational formulation for frame-based inverse problems

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Bayesian Optimization for Sparse Neural Networks With Trainable Activation Functions;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

2. A fully automatic Bayesian model for adaptive activation functions in artificial neural networks;2023 International Conference on Innovations in Intelligent Systems and Applications (INISTA);2023-09-20

3. Performance Analysis of Artificial Neural Network - Chimpanzee Leader Election Optimization on Classification Case;2022 International Conference of Science and Information Technology in Smart Administration (ICSINTESA);2022-11-10

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