Deval Shah

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Autonomous Robots

Unknown Environments

Top Venues

Publications

Deval Shah, Zi Yu Xue, Karthik Pattabiraman, Tor M. Aamodt
Characterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots. ACM Trans. Cyber Phys. Syst. 8 (3) (2024)
Deval Shah, Tor M. Aamodt
Collision Prediction for Robotics Accelerators. ISCA (2024)
Deval Shah, Ningfeng Yang, Tor M. Aamodt
Energy-Efficient Realtime Motion Planning. ISCA (2023)
Deval Shah, Tor M. Aamodt
Learning Label Encodings for Deep Regression. CoRR (2023)
Deval Shah, Tor M. Aamodt
Learning Label Encodings for Deep Regression. ICLR (2023)
Deval Shah, Zi Yu Xue, Tor M. Aamodt
Label Encoding for Regression Networks. CoRR (2022)
Deval Shah, Zi Yu Xue, Tor M. Aamodt
Label Encoding for Regression Networks. ICLR (2022)
Deval Shah, Zi Yu Xue, Karthik Pattabiraman, Tor M. Aamodt
Characterizing and Improving the Resilience of Accelerators in Autonomous Robots. CoRR (2021)
Karan Ahuja, Deval Shah, Sujeath Pareddy, Franceska Xhakaj, Amy Ogan, Yuvraj Agarwal, Chris Harrison
Classroom Digital Twins with Instrumentation-Free Gaze Tracking. CHI (2021)
Tayler Hicklin Hetherington, Maria Lubeznov, Deval Shah, Tor M. Aamodt
EDGE: Event-Driven GPU Execution. PACT (2019)
Vinay B. Y. Kumar, Deval Shah, Mandar Datar, Sachin B. Patkar
Lightweight Forth Programmable NoCs. VLSI Design (2018)
Jonathan Lew, Deval Shah, Suchita Pati, Shaylin Cattell, Mengchi Zhang, Amruth Sandhupatla, Christopher Ng, Negar Goli, Matthew D. Sinclair, Timothy G. Rogers, Tor M. Aamodt
Analyzing Machine Learning Workloads Using a Detailed GPU Simulator. CoRR (2018)