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



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



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

* Slightly extended version of ICLR 2021 Paper 

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



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


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A LiDAR-Guided Framework for Video Enhancement



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



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

* Accepted to be published at MLSys 2021 

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Information contraction in noisy binary neural networks and its implications



Chuteng Zhou , Quntao Zhuang , Matthew Mattina , Paul N. Whatmough

* 14 pages, 8 figures 

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



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

* 10 pages, 8 figures, 3 tables, appendix 

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