Saved in:
| Main Authors: | Xu, Bin, Banerjee, Ayan, Gupta, Sandeep |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2512.23914 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
by: Banerjee, Ayan, et al.
Published: (2024)
by: Banerjee, Ayan, et al.
Published: (2024)
Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics
by: Xu, Bin, et al.
Published: (2025)
by: Xu, Bin, et al.
Published: (2025)
Hardware Software Optimizations for Fast Model Recovery on Reconfigurable Architectures
by: Xu, Bin, et al.
Published: (2025)
by: Xu, Bin, et al.
Published: (2025)
Parallelizable Complex Neural Dynamics Models for PMSM Temperature Estimation with Hardware Acceleration
by: Liao, Xinyuan, et al.
Published: (2025)
by: Liao, Xinyuan, et al.
Published: (2025)
Design and Implementation of Hardware Accelerators for Neural Processing Applications
by: Mayannavar, Shilpa, et al.
Published: (2024)
by: Mayannavar, Shilpa, et al.
Published: (2024)
Physics Informed Neural Network Estimated Circuit Parameter Adaptive Modulation of DAB
by: Dey, Saikat, et al.
Published: (2025)
by: Dey, Saikat, et al.
Published: (2025)
Through-the-Earth Magnetic Induction Communication and Networking: A Comprehensive Survey
by: Ma, Honglei, et al.
Published: (2025)
by: Ma, Honglei, et al.
Published: (2025)
Learning Neural Koopman Operators with Dissipativity Guarantees
by: Xu, Yuezhu, et al.
Published: (2025)
by: Xu, Yuezhu, et al.
Published: (2025)
Configuring Safe Spiking Neural Controllers for Cyber-Physical Systems through Formal Verification
by: Gupta, Arkaprava, et al.
Published: (2024)
by: Gupta, Arkaprava, et al.
Published: (2024)
Improved Scalable Lipschitz Bounds for Deep Neural Networks
by: Syed, Usman, et al.
Published: (2025)
by: Syed, Usman, et al.
Published: (2025)
Scalable Physics-Informed Neural Networks for Accelerating Electromagnetic Transient Stability Assessment
by: Nadal, Ignasi Ventura, et al.
Published: (2025)
by: Nadal, Ignasi Ventura, et al.
Published: (2025)
Computing in Integrated Terrestrial and Non-Terrestrial Networks: A Comprehensive Survey
by: Wong, Hoe Ziet, et al.
Published: (2025)
by: Wong, Hoe Ziet, et al.
Published: (2025)
Graph Neural Network-Accelerated Network-Reconfigured Optimal Power Flow
by: Pham, Thuan, et al.
Published: (2024)
by: Pham, Thuan, et al.
Published: (2024)
Linear State Estimation in Presence of Bounded Uncertainties: A Comparative Analysis
by: Das, Ayan, et al.
Published: (2025)
by: Das, Ayan, et al.
Published: (2025)
Towards Semantic-Aware Transport Layer Protocols: A Control Performance Perspective
by: Kutsevol, Polina, et al.
Published: (2023)
by: Kutsevol, Polina, et al.
Published: (2023)
An End-to-End Neural Network Transceiver Design for OFDM System with FPGA-Accelerated Implementation
by: Luo, Yi, et al.
Published: (2025)
by: Luo, Yi, et al.
Published: (2025)
Accelerating Time-Optimal Trajectory Planning for Connected and Automated Vehicles with Graph Neural Networks
by: Le, Viet-Anh, et al.
Published: (2025)
by: Le, Viet-Anh, et al.
Published: (2025)
Exploring Robustness of Image Recognition Models on Hardware Accelerators
by: Louloudakis, Nikolaos, et al.
Published: (2023)
by: Louloudakis, Nikolaos, et al.
Published: (2023)
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
by: Zeng, Hongtai, et al.
Published: (2024)
by: Zeng, Hongtai, et al.
Published: (2024)
Gradient Flow Equations for Deep Linear Neural Networks: A Survey from a Network Perspective
by: Wendin, Joel, et al.
Published: (2025)
by: Wendin, Joel, et al.
Published: (2025)
Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
by: Xu, Bin, et al.
Published: (2025)
by: Xu, Bin, et al.
Published: (2025)
Customized User Plane Processing via Code Generating AI Agents for Next Generation Mobile Networks
by: Ma, Xiaowen, et al.
Published: (2026)
by: Ma, Xiaowen, et al.
Published: (2026)
An Efficient General-Purpose Optical Accelerator for Neural Networks
by: Fei, Sijie, et al.
Published: (2024)
by: Fei, Sijie, et al.
Published: (2024)
Robust Stability of Neural Network Control Systems with Interval Matrix Uncertainties
by: Zhang, Yuhao, et al.
Published: (2023)
by: Zhang, Yuhao, et al.
Published: (2023)
Large Language Models for Power System Applications: A Comprehensive Literature Survey
by: Sarwar, Muhammad, et al.
Published: (2025)
by: Sarwar, Muhammad, et al.
Published: (2025)
Smart Grids: A Comprehensive Survey of Challenges, Industry Applications, and Future Trends
by: Powell, Jadyn, et al.
Published: (2024)
by: Powell, Jadyn, et al.
Published: (2024)
LLM-Aided Efficient Hardware Design Automation
by: Xu, Kangwei, et al.
Published: (2024)
by: Xu, Kangwei, et al.
Published: (2024)
A Runtime-Adaptive Transformer Neural Network Accelerator on FPGAs
by: Kabir, Ehsan, et al.
Published: (2024)
by: Kabir, Ehsan, et al.
Published: (2024)
Physics-Informed Neural Networks for Accelerating Power System State Estimation
by: Falas, Solon, et al.
Published: (2023)
by: Falas, Solon, et al.
Published: (2023)
Energy-Aware Coverage Planning for Heterogeneous Multi-Robot System
by: Munir, Aiman, et al.
Published: (2024)
by: Munir, Aiman, et al.
Published: (2024)
A Flexible Precision Scaling Deep Neural Network Accelerator with Efficient Weight Combination
by: Zhao, Liang, et al.
Published: (2025)
by: Zhao, Liang, et al.
Published: (2025)
A Survey on Physics Informed Reinforcement Learning: Review and Open Problems
by: Banerjee, Chayan, et al.
Published: (2023)
by: Banerjee, Chayan, et al.
Published: (2023)
Stability and Performance Analysis of Discrete-Time ReLU Recurrent Neural Networks
by: Noori, Sahel Vahedi, et al.
Published: (2024)
by: Noori, Sahel Vahedi, et al.
Published: (2024)
Implementation of a 8-bit Wallace Tree Multiplier
by: Biswas, Ayan, et al.
Published: (2025)
by: Biswas, Ayan, et al.
Published: (2025)
Guidance and Control Neural Network Acceleration using Memristors
by: Rudge, Zacharia A., et al.
Published: (2025)
by: Rudge, Zacharia A., et al.
Published: (2025)
OpenMines: A Light and Comprehensive Mining Simulation Environment for Truck Dispatching
by: Meng, Shi, et al.
Published: (2024)
by: Meng, Shi, et al.
Published: (2024)
Experimental Study of Transport Layer Protocols for Wireless Networked Control Systems
by: Kutsevol, Polina, et al.
Published: (2023)
by: Kutsevol, Polina, et al.
Published: (2023)
AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks
by: Ebrahimi, Zeinab, et al.
Published: (2024)
by: Ebrahimi, Zeinab, et al.
Published: (2024)
Breaking Free: Decoupling Forced Systems with Laplace Neural Networks
by: Zimmering, Bernd, et al.
Published: (2025)
by: Zimmering, Bernd, et al.
Published: (2025)
Forward and Backward Reachability Analysis of Closed-loop Recurrent Neural Networks via Hybrid Zonotopes
by: Zhang, Yuhao, et al.
Published: (2026)
by: Zhang, Yuhao, et al.
Published: (2026)
Similar Items
-
CPS-LLM: Large Language Model based Safe Usage Plan Generator for Human-in-the-Loop Human-in-the-Plant Cyber-Physical System
by: Banerjee, Ayan, et al.
Published: (2024) -
Enabling Physical AI at the Edge: Hardware-Accelerated Recovery of System Dynamics
by: Xu, Bin, et al.
Published: (2025) -
Hardware Software Optimizations for Fast Model Recovery on Reconfigurable Architectures
by: Xu, Bin, et al.
Published: (2025) -
Parallelizable Complex Neural Dynamics Models for PMSM Temperature Estimation with Hardware Acceleration
by: Liao, Xinyuan, et al.
Published: (2025) -
Design and Implementation of Hardware Accelerators for Neural Processing Applications
by: Mayannavar, Shilpa, et al.
Published: (2024)