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ORCIDPriyesh Shukla
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2020 – today
- 2024
[c8]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: 1-6- [i5]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 abs/2401.17481 (2024) - 2023
- [j3]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): 884-896 (2023) - [c7]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: 1-5 - 2022
- [j2]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): 68-80 (2022) - [c6]Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi:
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics. AICAS 2022: 9-12 - [c5]Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi:
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars. ISCAS 2022: 1457-1461 - [i4]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 abs/2210.15559 (2022) - 2021
- [c4]Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi:
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability. DATE 2021: 890-895 - [i3]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 abs/2111.07125 (2021) - 2020
- [j1]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): 1833-1843 (2020) - [c3]Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. ISCAS 2020: 1-5 - [c2]Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi:
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics. ISQED 2020: 219-224 - [c1]Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi:
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS. VLSID 2020: 19-24 - [i2]Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi:
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference. CoRR abs/2003.02629 (2020) - [i1]Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi:
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics. CoRR abs/2003.10088 (2020)
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