Priyesh Shukla

According to our database, Priyesh Shukla authored at least 13 papers between 2020 and 2024.

Collaborative distances:

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

2024

Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics.

Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

2023

MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence.

Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi

IEEE Trans. Circuits Syst. I Regul. Pap., February, 2023

Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies.

Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory.

Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi

IEEE Trans. Very Large Scale Integr. Syst., 2022

Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars.

Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics.

Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi

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

2021

Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability.

Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics.

Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi

IEEE Trans. Very Large Scale Integr. Syst., 2020

Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics.

Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi

CoRR, 2020

MC²RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.

Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi

CoRR, 2020

Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS.

Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi

Proceedings of the 33rd International Conference on VLSI Design and 19th International Conference on Embedded Systems, 2020

Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics.

Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi

Proceedings of the 21st International Symposium on Quality Electronic Design, 2020

MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.

Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020