Jason Jabbour

According to our database, Jason Jabbour authored at least 7 papers between 2022 and 2024.

Collaborative distances:

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

2024

Generative AI Agents in Autonomous Machines: A Safety Perspective.

Jason Jabbour, Vijay Janapa Reddi

CoRR, 2024

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, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

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, Stefan Rass, Smruti Panigrahi, Giulio Corradi, Niladri Roy, Phillip B. Gibbons, Sabrina M. Neuman, Brian Plancher, Vijay Janapa Reddi

CoRR, 2023

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design.

Srivatsan Krishnan, Amir Yazdanbakhsh, Shvetank Prakash, Jason Jabbour, Ikechukwu Uchendu, Susobhan Ghosh, Behzad Boroujerdian, Daniel Richins, Devashree Tripathy, Aleksandra Faust, Vijay Janapa Reddi

Proceedings of the 50th Annual International Symposium on Computer Architecture, 2023

2022

Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients.

Ye Gao, Jason Jabbour, Emma C. Schlegel, Meiyi Ma, Matthew McCall, Lahiru N. S. Wijayasingha, Eunjung Ko, Kristina Gordon, Karen Rose, Hongning Wang, John A. Stankovic

IEEE Pervasive Comput., 2022

Integrating Voice-Based Machine Learning Technology into Complex Home Environments.

Ye Gao, Jason Jabbour, Eunjung Ko, Lahiru Nuwan Wijayasingha, Sooyoung Kim, Zetao Wang, Meiyi Ma, Karen Rose, Kristina Gordon, Hongning Wang, John A. Stankovic

CoRR, 2022

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

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022