Deval Shah, Zi Yu Xue, and Tor M. Aamodt. Label Encoding for Regression Networks. In International Conference on Learning Representations, April 2022. URL https://openreview.net/pdf?id=8WawVDdKqlL.
Deval Shah and Tor M. Aamodt. Learning Label Encodings for Deep Regression. In International Conference on Learning Representations, May 2023. URL https://openreview.net/pdf?id=k60XE b0Ix6.
Deval Shah, Ningfeng Yang, and Tor M. Aamodt, Energy-Efficient Realtime Motion Planning, in Proceedings of the 50th Annual International Symposium on Computer Architecture, ser. ISCA ’23. New York, NY, USA: Association for Computing Machinery, 2023
Deval Shah, Zi Yu Xue, Karthik Pattabiraman, and Tor M. Aamodt, Char- acterizing and Improving Resilience of Accelerators to Memory Errors in Autonomous Robots, ACM Transactions on Cyber-Physical Systems, October 2023. Just Accepted.
T. H. Hetherington, M. Lubeznov, D. Shah, T M. Aamodt, EDGE: Event-Driven GPU Execution, Parallel Architectures and Compilation Techniques, PACT 2019
J. Lew, D. Shah, S. Pati, S. Cattell, M. Zhang, A. Sandhupatla, C. Ng, N. Goli, M. D. Sinclair, T. G. Rogers, T. M. Aamodt, Analyzing Machine Learning Workloads Using a Detailed GPU Simulator, International Symposium on Performance Analysis of Systems and Software, ISPASS 2018
V. B. Y. Kumar, D. Shah, M. Datar, S. Patkar, Lightweight Forth Programmable NoCs, International VLSI Design Embedded Systems conference, VLSID 2018