Modeling how thinking about the past and future impacts network traffic with the gosmr architecture. - Kevin Gold; Zachary J. Weber; Ben Priest; Josh Ziegler; Karen Sittig; William W. Streilein; Mark Mazumder (AAMAS, 2013)

Safe Client/Server Web Development with Haskell. - Mark Mazumder; Timothy M. Braje (SecDev, 2016)

Guaranteeing spoof-resilient multi-robot networks. - Stephanie Gil; Swarun Kumar; Mark Mazumder; Dina Katabi; Daniela Rus (Auton. Robots, 2017)

Active Rendezvous for Multi-robot Pose Graph Optimization Using Sensing over Wi-Fi. - Weiying Wang; Ninad Jadhav; Paul Vohs; Nathan Hughes; Mark Mazumder; Stephanie Gil (ISRR, 2019)

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

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Daniel Galvez; Greg Diamos; Juan Torres; Keith Achorn; Juan Felipe Cerón; Anjali Gopi; David Kanter; Max Lam; Mark Mazumder; Vijay Janapa Reddi (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)

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)

The People's Speech: A Large-Scale Diverse English Speech Recognition Dataset for Commercial Usage. - Daniel Galvez; Greg Diamos; Juan Ciro; Juan Felipe Cerón; Keith Achorn; Anjali Gopi; David Kanter; Maximilian Lam; Mark Mazumder; Vijay Janapa Reddi (CoRR, 2021)

Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. - Sabrina M. Neuman; Brian Plancher; Bardienus Pieter Duisterhof; Srivatsan Krishnan; Colby R. Banbury; Mark Mazumder; Shvetank Prakash; Jason Jabbour; Aleksandra Faust; Guido C. H. E. de Croon; Vijay Janapa Reddi (AICAS, 2022)

MLPerf Mobile Inference Benchmark: An Industry-Standard Open-Source Machine Learning Benchmark for On-Device AI. - Vijay Janapa Reddi; David Kanter; Peter Mattson; Jared Duke; Thai Nguyen; Ramesh Chukka; Kenneth Shiring; Koan-Sin Tan; Mark Charlebois; William Chou; Mostafa El-Khamy; Jungwook Hong; et al. (MLSys, 2022)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Douwe Kiela; David Jurado; David Kanter; Rafael Mosquera; et al. (CoRR, 2022)

XRBench: An Extended Reality (XR) Machine Learning Benchmark Suite for the Metaverse. - Hyoukjun Kwon; Krishnakumar Nair; Jamin Seo; Jason Yik; Debabrata Mohapatra; Dongyuan Zhan; Jinook Song; Peter Capak; Peizhao Zhang; Peter Vajda; Colby R. Banbury; Mark Mazumder; et al. (MLSys, 2023)

DataPerf: Benchmarks for Data-Centric AI Development. - Mark Mazumder; Colby R. Banbury; Xiaozhe Yao; Bojan Karlas; William Gaviria Rojas; Sudnya Frederick Diamos; Greg Diamos; Lynn He; Alicia Parrish; Hannah Rose Kirk; Jessica Quaye; Charvi Rastogi; et al. (NeurIPS, 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)

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