Imagen de Portada

Circuit Representation Learning with Masked Gate Modeling and Verilog-AIG Alignment

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Wu, Haoyuan, Zheng, Haisheng, Pu, Yuan, Yu, Bei
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Architect of the Bits World: Masked Autoregressive Modeling for Circuit Generation Guided by Truth Table
por: Wu, Haoyuan, et al.
Publicado: (2025)

DeepGate3: Towards Scalable Circuit Representation Learning
por: Shi, Zhengyuan, et al.
Publicado: (2024)

Alignment Unlocks Complementarity: A Framework for Multiview Circuit Representation Learning
por: Shi, Zhengyuan, et al.
Publicado: (2025)

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
por: Zheng, Ziyang, et al.
Publicado: (2025)

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
por: Ye, Yuyang, et al.
Publicado: (2024)

KCLNet: Electrically Equivalence-Oriented Graph Representation Learning for Analog Circuits
por: Xu, Peng, et al.
Publicado: (2026)

Robot-Gated Interactive Imitation Learning with Adaptive Intervention Mechanism
por: Cai, Haoyuan, et al.
Publicado: (2025)

GeoMAE: Masking Representation Learning for Spatio-Temporal Graph Forecasting with Missing Values
por: Ke, Songyu, et al.
Publicado: (2025)

DeepRTL: Bridging Verilog Understanding and Generation with a Unified Representation Model
por: Liu, Yi, et al.
Publicado: (2025)

Rethinking Circuit Completeness in Language Models: AND, OR, and ADDER Gates
por: Chen, Hang, et al.
Publicado: (2025)

WaterVIB: Learning Minimal Sufficient Watermark Representations via Variational Information Bottleneck
por: He, Haoyuan, et al.
Publicado: (2026)

MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
por: Zhang, Yongan, et al.
Publicado: (2024)

Understanding the Emergence of Multimodal Representation Alignment
por: Tjandrasuwita, Megan, et al.
Publicado: (2025)

Masked Gated Linear Unit
por: Tajima, Yukito, et al.
Publicado: (2025)

Representation Deficiency in Masked Language Modeling
por: Meng, Yu, et al.
Publicado: (2023)

Accelerating Frequency Domain Diffusion Models with Error-Feedback Event-Driven Caching
por: Liu, Dong, et al.
Publicado: (2026)

Structure-Aware Masking for Protein Representation Learning
por: Walton, Thomas, et al.
Publicado: (2026)

Mask the Redundancy: Evolving Masking Representation Learning for Multivariate Time-Series Clustering
por: Tan, Zexi, et al.
Publicado: (2025)

Towards Uniformity and Alignment for Multimodal Representation Learning
por: Yin, Wenzhe, et al.
Publicado: (2026)

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
por: Ma, Ruiyang, et al.
Publicado: (2025)

Divergent Thoughts toward One Goal: LLM-based Multi-Agent Collaboration System for Electronic Design Automation
por: Wu, Haoyuan, et al.
Publicado: (2025)

Parameter-Efficient Sparsity Crafting from Dense to Mixture-of-Experts for Instruction Tuning on General Tasks
por: Wu, Haoyuan, et al.
Publicado: (2024)

Rethinking Graph Masked Autoencoders through Alignment and Uniformity
por: Wang, Liang, et al.
Publicado: (2024)

Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
por: Du, Yuxuan, et al.
Publicado: (2024)

A Multi-Expert Large Language Model Architecture for Verilog Code Generation
por: Nadimi, Bardia, et al.
Publicado: (2024)

RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
por: Jin, Pengwei, et al.
Publicado: (2025)

M$^3$-Impute: Mask-guided Representation Learning for Missing Value Imputation
por: Yu, Zhongyi, et al.
Publicado: (2024)

FedSSG: Expectation-Gated and History-Aware Drift Alignment for Federated Learning
por: Zhou, Zhanting, et al.
Publicado: (2025)

DeepSeq2: Enhanced Sequential Circuit Learning with Disentangled Representations
por: Khan, Sadaf, et al.
Publicado: (2024)

Tractable Representation Learning with Probabilistic Circuits
por: Braun, Steven, et al.
Publicado: (2025)

Unsupervised Multi-modal Feature Alignment for Time Series Representation Learning
por: Liang, Chen, et al.
Publicado: (2023)

Deep Fair Learning: A Unified Framework for Fine-tuning Representations with Sufficient Networks
por: Shi, Enze, et al.
Publicado: (2025)

Representation Learning of Lab Values via Masked AutoEncoders
por: Restrepo, David, et al.
Publicado: (2025)

UAKNN: Label Distribution Learning via Uncertainty-Aware KNN
por: Wang, Pu, et al.
Publicado: (2025)

Orthogonalized Multimodal Contrastive Learning with Asymmetric Masking for Structured Representations
por: Cissee, Carolin, et al.
Publicado: (2026)

Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
por: Zhang, Peiliang, et al.
Publicado: (2025)

InterroGate: Learning to Share, Specialize, and Prune Representations for Multi-task Learning
por: Bejnordi, Babak Ehteshami, et al.
Publicado: (2024)

Exploring the Agentic Frontier of Verilog Code Generation
por: Yubeaton, Patrick, et al.
Publicado: (2026)

Robust Representation Learning in Masked Autoencoders
por: Shrivastava, Anika, et al.
Publicado: (2026)

TopoAlign: Topology-Aware Visual Representation Alignment
por: Yan, Xinyuan, et al.
Publicado: (2026)