Priyesh Shukla

20 papers A 2C 2Misc 3Journal 11Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Dual-Signal Adaptive KV-Cache Optimization for Long-Form Video Understanding in Vision-Language Models.
CoRR
Vishnu Sai, Dheeraj Sai, Srinath B, Girish Varma, Priyesh Shukla
2026 J jnl
Semantic-Guided 3D Gaussian Splatting for Transient Object Removal.
CoRR
Aditi Prabakaran, Priyesh Shukla
2026 J jnl
TernaryLM: Memory-Efficient Language Modeling via Native 1-Bit Quantization with Adaptive Layer-wise Scaling.
CoRR
Nisharg Nargund, Priyesh Shukla
2025 Misc conf
MOSAIC: Collaborative Compute-in-Memory µArrays for Flexible and Scalable Deep Learning.
VTS
Amit Ranjan Trivedi, Shamma Nasrin, Priyesh Shukla, Nastaran Darabi, Divake Kumar, Dinithi Jayasuriya, Nethmi Jayasinghe
2024 A conf
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics.
DATE
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2024 J jnl
Navigating the Unknown: Uncertainty-Aware Compute-in-Memory Autonomy of Edge Robotics.
CoRR
Nastaran Darabi, Priyesh Shukla, Dinithi Jayasuriya, Divake Kumar, Alex C. Stutts, Amit Ranjan Trivedi
2023 J jnl
MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap.
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2023 Misc conf
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies.
ICASSP
Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2022 — conf
Analog-Domain Time-Series Moment Extraction for Low Power Predictive Maintenance Analytics.
AICAS
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
2022 C conf
Non van-Neumann Anomaly Detection in Multi-Channel Time-Series using Charge Trap Transistor Crossbars.
ISCAS
Ahish Shylendra, Priyesh Shukla, Amit Ranjan Trivedi
2022 J jnl
Robust Monocular Localization of Drones by Adapting Domain Maps to Depth Prediction Inaccuracies.
CoRR
Priyesh Shukla, Sureshkumar S., Alex C. Stutts, Sathya Ravi, Theja Tulabandhula, Amit Ranjan Trivedi
2022 J jnl
Ultralow-Power Localization of Insect-Scale Drones: Interplay of Probabilistic Filtering and Compute-in-Memory.
IEEE Trans. Very Large Scale Integr. Syst.
Priyesh Shukla, Ankith Muralidhar, Nick Iliev, Theja Tulabandhula, Sawyer B. Fuller, Amit Ranjan Trivedi
2021 A conf
Compute-in-Memory Upside Down: A Learning Operator Co-Design Perspective for Scalability.
DATE
Shamma Nasrin, Priyesh Shukla, Shruthi Jaisimha, Amit Ranjan Trivedi
2021 J jnl
MC-CIM: Compute-in-Memory with Monte-Carlo Dropouts for Bayesian Edge Intelligence.
CoRR
Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi
2020 — conf
Fault Attack Detection in AES by Monitoring Power Side-Channel Statistics.
ISQED
Ahish Shylendra, Priyesh Shukla, Swarup Bhunia, Amit Ranjan Trivedi
2020 J jnl
Low Power Unsupervised Anomaly Detection by Non-Parametric Modeling of Sensor Statistics.
CoRR
Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
2020 J jnl
Low Power Unsupervised Anomaly Detection by Nonparametric Modeling of Sensor Statistics.
IEEE Trans. Very Large Scale Integr. Syst.
Ahish Shylendra, Priyesh Shukla, Saibal Mukhopadhyay, Swarup Bhunia, Amit Ranjan Trivedi
2020 J jnl
MC
CoRR
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020 C conf
MC2RAM: Markov Chain Monte Carlo Sampling in SRAM for Fast Bayesian Inference.
ISCAS
Priyesh Shukla, Ahish Shylendra, Theja Tulabandhula, Amit Ranjan Trivedi
2020 Misc conf
Non-parametric Statistical Density Function Synthesizer and Monte Carlo Sampler in CMOS.
VLSID
Ahish Shylendra, Sina Haji Alizad, Priyesh Shukla, Amit Ranjan Trivedi