Image de couverture de livre

SynCircuit: Automated Generation of New Synthetic RTL Circuits Can Enable Big Data in Circuits

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Liu, Shang, Wang, Jing, Fang, Wenji, Xie, Zhiyao
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GenEDA: Towards Generative Netlist Functional Reasoning via Cross-Modal Circuit Encoder-Decoder Alignment
par: Fang, Wenji, et autres
Publié: (2025)

A Survey of Circuit Foundation Model: Foundation AI Models for VLSI Circuit Design and EDA
par: Fang, Wenji, et autres
Publié: (2025)

CircuitFusion: Multimodal Circuit Representation Learning for Agile Chip Design
par: Fang, Wenji, et autres
Publié: (2025)

A New Benchmark for the Appropriate Evaluation of RTL Code Optimization
par: Lu, Yao, et autres
Publié: (2026)

PAHQ: Accelerating Automated Circuit Discovery through Mixed-Precision Inference Optimization
par: Wang, Xinhai, et autres
Publié: (2025)

Dr. RTL: Autonomous Agentic RTL Optimization through Tool-Grounded Self-Improvement
par: Fang, Wenji, et autres
Publié: (2026)

RTL-BenchMT: Dynamic Maintenance of RTL Generation Benchmark Through Agent-Assisted Analysis and Revision
par: Wang, Jing, et autres
Publié: (2026)

Circuit-Aware Reward Training: A Mechanistic Framework for Longtail Robustness in RLHF
par: Liu, Jing
Publié: (2025)

EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit Identification
par: Zhang, Lin, et autres
Publié: (2025)

Restructuring Tractable Probabilistic Circuits
par: Zhang, Honghua, et autres
Publié: (2024)

A Sobering Look at Tabular Data Generation via Probabilistic Circuits
par: Scassola, Davide, et autres
Publié: (2026)

Sparse Probabilistic Graph Circuits
par: Rektoris, Martin, et autres
Publié: (2025)

Soft Learning Probabilistic Circuits
par: Ghandi, Soroush, et autres
Publié: (2024)

Causal Neural Probabilistic Circuits
par: Chen, Weixin, et autres
Publié: (2026)

Probabilistic Circuits for Cumulative Distribution Functions
par: Broadrick, Oliver, et autres
Publié: (2024)

GTAC: A Generative Transformer for Approximate Circuits
par: Wang, Jingxin, et autres
Publié: (2025)

QUARK: Quantization-Enabled Circuit Sharing for Transformer Acceleration by Exploiting Common Patterns in Nonlinear Operations
par: Zhao, Zhixiong, et autres
Publié: (2025)

Spectral Probe-Circuits: A Three-Step Recipe for Identifying Attention-Head Circuits in Pretrained Transformers
par: Xu, Yongzhong
Publié: (2026)

SymCircuit: Bayesian Structure Inference for Tractable Probabilistic Circuits via Entropy-Regularized Reinforcement Learning
par: Ju, Y. Sungtaek
Publié: (2026)

On the Relationship Between Monotone and Squared Probabilistic Circuits
par: Wang, Benjie, et autres
Publié: (2024)

Automated Design and Optimization of Distributed Filtering Circuits via Reinforcement Learning
par: Gao, Peng, et autres
Publié: (2024)

Neural Probabilistic Circuits: Enabling Compositional and Interpretable Predictions through Logical Reasoning
par: Chen, Weixin, et autres
Publié: (2025)

Efficient Automated Circuit Discovery in Transformers using Contextual Decomposition
par: Hsu, Aliyah R., et autres
Publié: (2024)

Circuits, Features, and Heuristics in Molecular Transformers
par: Varadi, Kristof, et autres
Publié: (2025)

Tractable Representation Learning with Probabilistic Circuits
par: Braun, Steven, et autres
Publié: (2025)

Hypothesis Testing the Circuit Hypothesis in LLMs
par: Shi, Claudia, et autres
Publié: (2024)

Scaling Up Probabilistic Circuits by Latent Variable Distillation
par: Liu, Anji, et autres
Publié: (2022)

FairCauseSyn: Towards Causally Fair LLM-Augmented Synthetic Data Generation
par: Nagesh, Nitish, et autres
Publié: (2025)

GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design
par: Flynn, Noah
Publié: (2026)

DynamicRTL: RTL Representation Learning for Dynamic Circuit Behavior
par: Ma, Ruiyang, et autres
Publié: (2025)

Probabilistic Neural Circuits
par: Martires, Pedro Zuidberg Dos
Publié: (2024)

Neuronal Attention Circuit (NAC) for Representation Learning
par: Razzaq, Waleed, et autres
Publié: (2025)

Tractable Sharpness-Aware Learning of Probabilistic Circuits
par: Suresh, Hrithik, et autres
Publié: (2025)

Hyperparameter Optimization via Interacting with Probabilistic Circuits
par: Seng, Jonas, et autres
Publié: (2025)

Probabilistic Circuits with Constraints via Convex Optimization
par: Ghandi, Soroush, et autres
Publié: (2024)

On the Expressive Power of Tree-Structured Probabilistic Circuits
par: Yin, Lang, et autres
Publié: (2024)

On Faster Marginalization with Squared Circuits via Orthonormalization
par: Loconte, Lorenzo, et autres
Publié: (2024)

AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI
par: Li, Qiufeng, et autres
Publié: (2025)

Optimal Transport for Probabilistic Circuits
par: Ciotinga, Adrian, et autres
Publié: (2024)

The Expressivity Boundary of Probabilistic Circuits: A Comparison with Large Language Models
par: Zhao, Zhiyu, et autres
Publié: (2026)