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2020 – today
- 2024
[c7]Abhishek Tyagi, Reiley Jeyapaul, Chuteng Zhou, Paul N. Whatmough, Yuhao Zhu:
Characterizing Soft-Error Resiliency in Arm's Ethos-U55 Embedded Machine Learning Accelerator. ISPASS 2024: 96-108- [i11]Bokun Wang, Axel Berg, Durmus Alp Emre Acar, Chuteng Zhou:
Towards Federated Learning with On-device Training and Communication in 8-bit Floating Point. CoRR abs/2407.02610 (2024) - [i10]Axel Berg, Jens Gulin, Mark O'Connor, Chuteng Zhou, Kalle Åström, Magnus Oskarsson:
wav2pos: Sound Source Localization using Masked Autoencoders. CoRR abs/2408.15771 (2024) - 2023
- [i9]Yuji Chai, Devashree Tripathy, Chuteng Zhou, Dibakar Gope, Igor Fedorov, Ramon Matas Navarro, David Brooks, Gu-Yeon Wei, Paul N. Whatmough:
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices. CoRR abs/2301.10999 (2023) - 2022
- [j1]Chuteng Zhou
, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
ML-HW Co-Design of Noise-Robust TinyML Models and Always-On Analog Compute-in-Memory Edge Accelerator. IEEE Micro 42(6): 76-87 (2022) - [c6]Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough:
UDC: Unified DNAS for Compressible TinyML Models for Neural Processing Units. NeurIPS 2022 - [i8]Igor Fedorov, Ramon Matas Navarro, Hokchhay Tann, Chuteng Zhou, Matthew Mattina, Paul N. Whatmough:
UDC: Unified DNAS for Compressible TinyML Models. CoRR abs/2201.05842 (2022) - 2021
- [c5]Jian Meng, Shreyas Kolala Venkataramanaiah, Chuteng Zhou, Patrick Hansen, Paul N. Whatmough, Jae-sun Seo:
FixyFPGA: Efficient FPGA Accelerator for Deep Neural Networks with High Element-Wise Sparsity and without External Memory Access. FPL 2021: 9-16 - [c4]Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough:
Strong data processing inequality in neural networks with noisy neurons and its implications. ISIT 2021: 1170-1175 - [c3]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. MLSys 2021 - [c2]Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams:
Active multi-fidelity Bayesian online changepoint detection. UAI 2021: 1916-1926 - [i7]Chuteng Zhou, Quntao Zhuang, Matthew Mattina, Paul N. Whatmough:
Information contraction in noisy binary neural networks and its implications. CoRR abs/2101.11750 (2021) - [i6]Gregory W. Gundersen, Diana Cai, Chuteng Zhou, Barbara E. Engelhardt, Ryan P. Adams:
Active multi-fidelity Bayesian online changepoint detection. CoRR abs/2103.14224 (2021) - [i5]Chuteng Zhou, Fernando García-Redondo, Julian Büchel, Irem Boybat, Xavier Timoneda Comas, S. R. Nandakumar, Shidhartha Das, Abu Sebastian, Manuel Le Gallo, Paul N. Whatmough:
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator. CoRR abs/2111.06503 (2021) - 2020
- [i4]Chuteng Zhou, Prad Kadambi, Matthew Mattina, Paul N. Whatmough:
Noisy Machines: Understanding Noisy Neural Networks and Enhancing Robustness to Analog Hardware Errors Using Distillation. CoRR abs/2001.04974 (2020) - [i3]Colby R. Banbury, Chuteng Zhou, Igor Fedorov, Ramon Matas Navarro, Urmish Thakker, Dibakar Gope, Vijay Janapa Reddi, Matthew Mattina, Paul N. Whatmough:
MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers. CoRR abs/2010.11267 (2020)
2010 – 2019
- 2019
- [c1]Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas K. Venkataramanaiah, Jae-sun Seo, Matthew Mattina:
FixyNN: Energy-Efficient Real-Time Mobile Computer Vision Hardware Acceleration via Transfer Learning. SysML 2019 - [i2]Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Shreyas K. Venkataramanaiah, Jae-sun Seo, Matthew Mattina:
FixyNN: Efficient Hardware for Mobile Computer Vision via Transfer Learning. CoRR abs/1902.11128 (2019) - 2018
- [i1]Paul N. Whatmough, Chuteng Zhou, Patrick Hansen, Matthew Mattina:
Energy Efficient Hardware for On-Device CNN Inference via Transfer Learning. CoRR abs/1812.01672 (2018)
Coauthor Index
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last updated on 2024-09-30 01:01 CEST by the dblp team
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