REDRESS: Generating Compressed Models for Edge Inference Using Tsetlin Machines

Author:

Maheshwari Sidharth1ORCID,Rahman Tousif1ORCID,Shafik Rishad1ORCID,Yakovlev Alex1ORCID,Rafiev Ashur1ORCID,Jiao Lei2ORCID,Granmo Ole-Christoffer2ORCID

Affiliation:

1. Microsystems Research Group, School of Engineering, Newcastle University, Newcastle upon Tyne, U.K.

2. Centre for Artificial Intelligence Research (CAIR), University of Agder, Grimstad, Norway

Funder

U.K. Northern Accelerator

Lloyds Registers Foundation

Norges Forskningsråd

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Cited by 9 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. MATADOR: Automated System-on-Chip Tsetlin Machine Design Generation for Edge Applications;2024 Design, Automation & Test in Europe Conference & Exhibition (DATE);2024-03-25

2. Design of Event-Driven Tsetlin Machines Using Safe Petri Nets;Lecture Notes in Computer Science;2024

3. Logic-Based Machine Learning with Reproducible Decision Model Using the Tsetlin Machine;2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS);2023-09-07

4. Exploring the Potential of Model-Free Reinforcement Learning using Tsetlin Machines;2023 International Symposium on the Tsetlin Machine (ISTM);2023-08-29

5. Parallel Symbiotic Random Number Generator for Training Tsetlin Machines on FPGA;2023 International Symposium on the Tsetlin Machine (ISTM);2023-08-29

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