Priyesh Shukla

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Top Venues

IEEE Trans. Very Large Scale Integr. Syst.

Publications

Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. CoRR (2024)
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics. DATE (2024)
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence. IEEE Trans. Circuits Syst. I Regul. Pap. 70 (2) (2023)
Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. ICASSP (2023)
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS (2022)
Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory. IEEE Trans. Very Large Scale Integr. Syst. 30 (1) (2022)
Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS (2022)
Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies. CoRR (2022)
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence. CoRR (2021)
Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE (2021)
Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
Probabilistic Localization of Insect-Scale Drones on Floating-Gate Inverter Arrays. CoRR (2021)
Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. CoRR (2020)
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS (2020)
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED (2020)
Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSI Design (2020)
Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics. IEEE Trans. Very Large Scale Integr. Syst. 28 (8) (2020)
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR (2020)