TensorFlow: A System for Large-Scale Machine Learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (OSDI, 2016)

TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems. - Martín Abadi; Ashish Agarwal; Paul Barham 001; Eugene Brevdo; Zhifeng Chen; Craig Citro; Gregory S. Corrado; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Ian J. Goodfellow; et al. (CoRR, 2016)

TensorFlow: A system for large-scale machine learning. - Martín Abadi; Paul Barham 001; Jianmin Chen; Zhifeng Chen; Andy Davis; Jeffrey Dean; Matthieu Devin; Sanjay Ghemawat; Geoffrey Irving; Michael Isard; Manjunath Kudlur; Josh Levenberg; et al. (CoRR, 2016)

The Deep (Learning) Transformation of Mobile and Embedded Computing. - Nicholas D. Lane; Pete Warden (Computer, 2018)

Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition. - Pete Warden (CoRR, 2018)

Visual Wake Words Dataset. - Aakanksha Chowdhery; Pete Warden; Jonathon Shlens; Andrew Howard 002; Rocky Rhodes (CoRR, 2019)

TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems. - Robert David; Jared Duke; Advait Jain; Vijay Janapa Reddi; Nat Jeffries; Jian Li; Nick Kreeger; Ian Nappier; Meghna Natraj; Shlomi Regev; Rocky Rhodes; Tiezhen Wang; et al. (CoRR, 2020)

Few-Shot Keyword Spotting in Any Language. - Mark Mazumder; Colby R. Banbury; Josh Meyer; Pete Warden; Vijay Janapa Reddi (Interspeech, 2021)

TensorFlow Lite Micro: Embedded Machine Learning for TinyML Systems. - Robert David; Jared Duke; Advait Jain; Vijay Janapa Reddi; Nat Jeffries; Jian Li; Nick Kreeger; Ian Nappier; Meghna Natraj; Tiezhen Wang; Pete Warden; Rocky Rhodes (MLSys, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Nat Jeffries; Csaba Király 002; Jeremy Holleman; Pietro Montino; David Kanter; Pete Warden; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (NeurIPS Datasets and Benchmarks, 2021)

Multilingual Spoken Words Corpus. - Mark Mazumder; Sharad Chitlangia; Colby R. Banbury; Yiping Kang; Juan Ciro; Keith Achorn; Daniel Galvez; Mark Sabini; Peter Mattson; David Kanter; Greg Diamos; Pete Warden; et al. (NeurIPS Datasets and Benchmarks, 2021)

Data Engineering for Everyone. - Vijay Janapa Reddi; Greg Diamos; Pete Warden; Peter Mattson; David Kanter (CoRR, 2021)

Widening Access to Applied Machine Learning with TinyML. - Vijay Janapa Reddi; Brian Plancher; Susan Kennedy; Laurence Moroney; Pete Warden; Anant Agarwal; Colby R. Banbury; Massimo Banzi; Matthew Bennett; Benjamin Brown; Sharad Chitlangia; Radhika Ghosal; et al. (CoRR, 2021)

MLPerf Tiny Benchmark. - Colby R. Banbury; Vijay Janapa Reddi; Peter Torelli; Jeremy Holleman; Nat Jeffries; Csaba Király 002; Pietro Montino; David Kanter; Sebastian Ahmed; Danilo Pau; Urmish Thakker; Antonio Torrini; et al. (CoRR, 2021)

ML-EXray: Visibility into ML Deployment on the Edge. - Hang Qiu 001; Ioanna Vavelidou; Jian Li; Evgenya Pergament; Pete Warden; Sandeep Chinchali; Zain Asgar; Sachin Katti (MLSys, 2022)

Machine Learning Sensors. - Pete Warden; Matthew Stewart; Brian Plancher; Colby R. Banbury; Shvetank Prakash; Emma Chen; Zain Asgar; Sachin Katti; Vijay Janapa Reddi (CoRR, 2022)

CFU Playground: Want a faster ML processor? Do it yourself! - Shvetank Prakash; Tim Callahan; Joseph Bushagour; Colby R. Banbury; Alan V. Green; Pete Warden; Tim Ansell; Vijay Janapa Reddi (DATE, 2023)

CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (TinyML) Acceleration on FPGAs. - Shvetank Prakash; Tim Callahan; Joseph Bushagour; Colby R. Banbury; Alan V. Green; Pete Warden; Tim Ansell; Vijay Janapa Reddi (ISPASS, 2023)

Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers. - Shvetank Prakash; Matthew Stewart; Colby R. Banbury; Mark Mazumder; Pete Warden; Brian Plancher; Vijay Janapa Reddi (CoRR, 2023)

Datasheets for Machine Learning Sensors. - Matthew Stewart; Pete Warden; Yasmine Omri; Shvetank Prakash; Joao Santos; Shawn Hymel; Benjamin Brown; Jim MacArthur; Nat Jeffries; Brian Plancher; Vijay Janapa Reddi (CoRR, 2023)

Is TinyML Sustainable? - Shvetank Prakash; Matthew Stewart; Colby R. Banbury; Mark Mazumder; Pete Warden; Brian Plancher; Vijay Janapa Reddi (Commun. ACM, 2023)

Machine Learning Sensors. - Pete Warden; Matthew Stewart; Brian Plancher; Sachin Katti; Vijay Janapa Reddi (Commun. ACM, 2023)

Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection. - Colby R. Banbury; Emil J. Njor; Matthew Stewart; Pete Warden; Manjunath Kudlur; Nat Jeffries; Xenofon Fafoutis; Vijay Janapa Reddi (CoRR, 2024)

Moonshine: Speech Recognition for Live Transcription and Voice Commands. - Nat Jeffries; Evan King; Manjunath Kudlur; Guy Nicholson; James Wang; Pete Warden (CoRR, 2024)

Materiality and risk in the age of pervasive AI sensors. - Mona Sloane; Emanuel Moss; Susan Kennedy; Matthew Stewart; Pete Warden; Brian Plancher; Vijay Janapa Reddi (Nat. Mac. Intell., 2025)