Cover Image

Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shen, Shan, Hua, Shenglu, Zou, Jiajun, Liu, Jiawei, Zhai, Jianwang, Shi, Chuan, Yu, Wenjian
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Few-shot Learning on AMS Circuits and Its Application to Parasitic Capacitance Prediction
by: Shen, Shan, et al.
Published: (2025)

Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
by: Shen, Shan, et al.
Published: (2025)

On Directed Graphs With Real Laplacian Spectra
by: Yu, Tianhao, et al.
Published: (2025)

Enhancing Functional Safety in Automotive AMS Circuits through Unsupervised Machine Learning
by: Arunachalam, Ayush, et al.
Published: (2024)

Inverse Chance Constrained Optimal Power Flow
by: Wang, Shenglu, et al.
Published: (2025)

Vehicle Rebalancing Under Adherence Uncertainty
by: Brar, Avalpreet Singh, et al.
Published: (2024)

Rebalancing Modular Transit Systems: A Hierarchical Graph-Based Optimization Framework for Fleet Sizing and Routing
by: Radvand, Tina, et al.
Published: (2025)

Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning
by: Scarpel, Edoardo, et al.
Published: (2026)

Single- vs. Dual-Policy Reinforcement Learning for Dynamic Bike Rebalancing
by: Liang, Jiaqi, et al.
Published: (2024)

Accelerating Sampling-Based Control via Learned Linear Koopman Dynamics
by: Hao, Wenjian, et al.
Published: (2026)

SRAM-PG: Power Delivery Network Benchmarks from SRAM Circuits
by: Shen, Shan, et al.
Published: (2024)

AMSnet-q: Unsupervised Circuit Identification and Performance Labeling for AMS Circuits
by: Zhang, Ze, et al.
Published: (2026)

Deep Koopman Learning using Noisy Data
by: Hao, Wenjian, et al.
Published: (2024)

A Multi-Worker Assembly Line Rebalancing with Spatial and Ergonomic Considerations
by: Vinetti, Martina, et al.
Published: (2025)

Mean-Field Control of Adherence in Participation-Coupled Vehicle Rebalancing Systems
by: Brar, Avalpreet Singh, et al.
Published: (2026)

Robust Vehicle Rebalancing with Deep Uncertainty in Autonomous Mobility-on-Demand Systems
by: Li, Xinling, et al.
Published: (2025)

Deep Learning based Performance Testing for Analog Integrated Circuits
by: Cao, Jiawei, et al.
Published: (2024)

Distributed Koopman Learning with Incomplete Measurements
by: Hao, Wenjian, et al.
Published: (2024)

Learning Graph Laplacian with MCP
by: Zhang, Yangjing, et al.
Published: (2020)

Distributed Koopman Learning using Partial Trajectories for Control
by: Hao, Wenjian, et al.
Published: (2024)

Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)

Assessing How Ride-hailing Rebalancing Strategies Improve the Resilience of Multi-modal Transportation Systems
by: Lee, Euntak, et al.
Published: (2024)

A Discrete-time Dynamical Model for Optimal Dispatching and Rebalancing of Autonomous Mobility-on-Demand Systems
by: Aalipour, Ali, et al.
Published: (2024)

A Coverage Control-based Idle Vehicle Rebalancing Approach for Autonomous Mobility-on-Demand Systems
by: Zhu, Pengbo, et al.
Published: (2023)

A Control-Barrier-Function-Based Algorithm for Policy Adaptation in Reinforcement Learning
by: Hao, Wenjian, et al.
Published: (2025)

Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition
by: Wu, Shuang, et al.
Published: (2018)

Composite Learning Adaptive Control under Non-Persistent Partial Excitation
by: Shen, Jiajun, et al.
Published: (2024)

Byzantine-Resilient Consensus via Active Reputation Learning
by: Huang, Rui, et al.
Published: (2026)

Wise Goose Chase: A Predictive Path Planning Algorithm for Dynamic Rebalancing in Ride-Hailing Systems
by: Brar, Avalpreet Singh, et al.
Published: (2025)

Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems
by: Hao, Wenjian, et al.
Published: (2026)

Automated Market Making and Loss-Versus-Rebalancing
by: Milionis, Jason, et al.
Published: (2022)

Deep Koopman Learning of Nonlinear Time-Varying Systems
by: Hao, Wenjian, et al.
Published: (2022)

Towards Text-free Graph Foundation Models: Rethinking Multi-Domain Graph Contrastive Learning
by: Zhao, Zihao, et al.
Published: (2025)

Cooperative Online Learning for Multi-Agent System Control via Gaussian Processes with Event-Triggered Mechanism: Extended Version
by: Dai, Xiaobing, et al.
Published: (2023)

Fleet Rebalancing for Expanding Shared e-Mobility Systems: A Multi-agent Deep Reinforcement Learning Approach
by: Luo, Man, et al.
Published: (2022)

Distributed Coverage Control on Poriferous Surface via Poly-Annulus Conformal Mapping
by: Feng, Xun, et al.
Published: (2026)

Risk-Aware Value-Oriented Net Demand Forecasting for Virtual Power Plants
by: Zhang, Yufan, et al.
Published: (2024)

On Circuit Diameter Bounds via Circuit Imbalances
by: Dadush, Daniel, et al.
Published: (2021)

Adaptive Policy Learning to Additional Tasks
by: Hao, Wenjian, et al.
Published: (2023)

Control-based Graph Embeddings with Data Augmentation for Contrastive Learning
by: Ahmad, Obaid Ullah, et al.
Published: (2024)