The evolving ecosystem of COVID-19 contact tracing applications. - Benjamin Levy; Matthew Stewart (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)

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)

Multiface: A Dataset for Neural Face Rendering. - Cheng-hsin Wuu; Ningyuan Zheng; Scott Ardisson; Rohan Bali; Danielle Belko; Eric Brockmeyer; Lucas Evans; Timothy Godisart; Hyowon Ha; Alexander Hypes; Taylor Koska; Steven Krenn; et al. (CoRR, 2022)

Decision Fusion in Automated Sleep Apnea Classification Using Multple Polysomnography Sensors and Convolutional Neural Networks. - Matthew Stewart; Caitlin Higginson; Julien Larivière-Chartier; Rébecca Robillard; James Green 001; Rafik Goubran; Frank Knoefel (SAS, 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)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Alejandra Martínez-Fariña; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; et al. (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)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; Stefan Rass; et al. (ICRA, 2024)

Codec Avatar Studio: Paired Human Captures for Complete, Driveable, and Generalizable Avatars. - Julieta Martinez 001; Emily Kim; Javier Romero 002; Timur M. Bagautdinov; Shunsuke Saito; Shoou-I Yu; Stuart Anderson; Michael Zollhöfer; Te-Li Wang; Shaojie Bai; Chenghui Li; Shih-En Wei; et al. (NeurIPS, 2024)

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)

Machine Theory of Mind for Autonomous Cyber-Defence. - Luke Swaby; Matthew Stewart; Daniel J. B. Harrold; Chris Willis; Gregory Palmer (CoRR, 2024)

Comparative Analysis of Automated Rules-Based Scoring Versus Human Scoring of Sleep Apnea. - Matthew Stewart; Caitlin Higginson; Julien Larivière-Chartier; Elliott Lee; James Green 001; Rafik Goubran; Frank Knoefel; Rébecca Robillard (MeMeA, 2025)

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)

An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents. - Gregory Palmer; Luke Swaby; Daniel J. B. Harrold; Matthew Stewart; Alex Hiles; Chris Willis; Ian Miles; Sara Farmer (CoRR, 2025)

A2Perf: Real-World Autonomous Agents Benchmark. - Ikechukwu Uchendu; Jason Jabbour; Korneel Van den Berghe; Joel Runevic; Matthew Stewart; Jeffrey Ma; Srivatsan Krishnan; Izzeddin Gur; Austin Huang; Colton Bishop; Paige Bailey; Wenjie Jiang 001; et al. (CoRR, 2025)