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AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator


Nov 10, 2021
Chuteng Zhou, Fernando Garcia Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough

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Federated Learning Based on Dynamic Regularization


Nov 09, 2021
Durmus Alp Emre Acar, Yue Zhao, Ramon Matas Navarro, Matthew Mattina, Paul N. Whatmough, Venkatesh Saligrama

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* Slightly extended version of ICLR 2021 Paper 

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S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN Acceleration


Jul 16, 2021
Zhi-Gang Liu, Paul N. Whatmough, Yuhao Zhu, Matthew Mattina

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A LiDAR-Guided Framework for Video Enhancement


Mar 15, 2021
Yu Feng, Patrick Hansen, Paul N. Whatmough, Guoyu Lu, Yuhao Zhu

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Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices


Feb 14, 2021
Urmish Thakker, Paul N. Whatmough, Zhigang Liu, Matthew Mattina, Jesse Beu

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* Accepted to be published at MLSys 2021 

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Information contraction in noisy binary neural networks and its implications


Feb 01, 2021
Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough

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* 14 pages, 8 figures 

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MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers


Oct 25, 2020
Colby Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough

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* 10 pages, 8 figures, 3 tables, appendix 

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