Shawn Hymel

According to our database, Shawn Hymel authored at least 4 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

TinyML4D: Scaling Embedded Machine Learning Education in the Developing World.

Brian Plancher, Sebastian Büttrich, Jeremy Ellis, Neena Goveas, Laila D. Kazimierski, Jesús Alfonso López Sotelo, Milan Lukic, Diego Mendez, Rosdiadee Nordin, Andrés Oliva Trevisan, Massimo Pavan, Manuel Roveri, Marcus Rüb, Jackline Tum, Marian Verhelst, Salah Abdeljabar, Segun Adebayo, Thomas Amberg, Halleluyah Aworinde, José Bagur, Gregg Barrett, Nabil Benamar, Bharat S. Chaudhari, Ronald Criollo, David Cuartielles, José A. Ferreira Filho, Solomon Gizaw, Evgeni Gousev, Alessandro Grande, Shawn Hymel, Peter Ing, Prashant Manandhar, Pietro Manzoni, Boris Murmann, Eric Pan, Rytis Paskauskas, Ermanno Pietrosemoli, Tales C. Pimenta, Marcelo Rovai, Marco Zennaro, Vijay Janapa Reddi

Proceedings of the AAAI 2024 Spring Symposium Series, 2024

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

Edge Impulse: An MLOps Platform for Tiny Machine Learning.

Colby R. Banbury, Vijay Janapa Reddi, Alexander Elium, Shawn Hymel, David Tischler, Daniel Situnayake, Carl Ward, Louis Moreau, Jenny Plunkett, Matthew Kelcey, Mathijs Baaijens, Alessandro Grande, Dmitry Maslov, Arthur Beavis, Jan Jongboom, Jessica Quaye

Proceedings of the Sixth Conference on Machine Learning and Systems, 2023

2022

Edge Impulse: An MLOps Platform for Tiny Machine Learning.

Shawn Hymel, Colby R. Banbury, Daniel Situnayake, Alexander Elium, Carl Ward, Matthew Kelcey, Mathijs Baaijens, Mateusz Majchrzycki, Jenny Plunkett, David Tischler, Alessandro Grande, Louis Moreau, Dmitry Maslov, Arthur Beavis, Jan Jongboom, Vijay Janapa Reddi

CoRR, 2022