Saved in:
| Main Authors: | Rodriguez, Hector R., Huang, Jiechen, Yu, Wenjian |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.11202 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation
by: Li, Haoyuan, et al.
Published: (2024)
by: Li, Haoyuan, et al.
Published: (2024)
Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
by: Shen, Shan, et al.
Published: (2025)
by: Shen, Shan, et al.
Published: (2025)
Efficient FRW Transitions via Stochastic Finite Differences for Handling Non-Stratified Dielectrics
by: Huang, Jiechen, et al.
Published: (2025)
by: Huang, Jiechen, et al.
Published: (2025)
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
by: Abi-Karam, Stefan, et al.
Published: (2024)
by: Abi-Karam, Stefan, et al.
Published: (2024)
Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts
by: Helaly, Abdelrahman, et al.
Published: (2025)
by: Helaly, Abdelrahman, et al.
Published: (2025)
NetTAG: A Multimodal RTL-and-Layout-Aligned Netlist Foundation Model via Text-Attributed Graph
by: Fang, Wenji, et al.
Published: (2025)
by: Fang, Wenji, et al.
Published: (2025)
RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs
by: Jin, Pengwei, et al.
Published: (2025)
by: Jin, Pengwei, et al.
Published: (2025)
LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
by: Chen, Guojin, et al.
Published: (2024)
by: Chen, Guojin, et al.
Published: (2024)
MAGE: A Multi-Agent Engine for Automated RTL Code Generation
by: Zhao, Yujie, et al.
Published: (2024)
by: Zhao, Yujie, et al.
Published: (2024)
Accelerating Computer Architecture Simulation through Machine Learning
by: Ali, Wajid, et al.
Published: (2024)
by: Ali, Wajid, et al.
Published: (2024)
AnalogNAS-Bench: A NAS Benchmark for Analog In-Memory Computing
by: Bessalah, Aniss, et al.
Published: (2025)
by: Bessalah, Aniss, et al.
Published: (2025)
RTLSeek: Boosting the LLM-Based RTL Generation with Multi-Stage Diversity-Oriented Reinforcement Learning
by: Zhang, Xinyu, et al.
Published: (2026)
by: Zhang, Xinyu, et al.
Published: (2026)
Breaking the Tuning Barrier: Zero-Hyperparameters Yield Multi-Corner Analysis Via Learned Priors
by: Xing, Wei W., et al.
Published: (2026)
by: Xing, Wei W., et al.
Published: (2026)
FSL-HDnn: A 5.7 TOPS/W End-to-end Few-shot Learning Classifier Accelerator with Feature Extraction and Hyperdimensional Computing
by: Yang, Haichao, et al.
Published: (2024)
by: Yang, Haichao, et al.
Published: (2024)
FPGA-Enabled Machine Learning Applications in Earth Observation: A Systematic Review
by: Léonard, Cédric, et al.
Published: (2025)
by: Léonard, Cédric, et al.
Published: (2025)
Efficient FPGA Implementation of Time-Domain Popcount for Low-Complexity Machine Learning
by: Duan, Shengyu, et al.
Published: (2025)
by: Duan, Shengyu, et al.
Published: (2025)
FiCABU: A Fisher-Based, Context-Adaptive Machine Unlearning Processor for Edge AI
by: Cho, Eun-Su, et al.
Published: (2025)
by: Cho, Eun-Su, et al.
Published: (2025)
Security Risks in Machining Process Monitoring: Sequence-to-Sequence Learning for Reconstruction of CNC Axis Positions
by: Krupp, Lukas, et al.
Published: (2026)
by: Krupp, Lukas, et al.
Published: (2026)
Improving Simulation Regression Efficiency using a Machine Learning-based Method in Design Verification
by: Gadde, Deepak Narayan, et al.
Published: (2024)
by: Gadde, Deepak Narayan, et al.
Published: (2024)
Energy Efficient Software Hardware CoDesign for Machine Learning: From TinyML to Large Language Models
by: Vahdatpour, Mohammad Saleh, et al.
Published: (2026)
by: Vahdatpour, Mohammad Saleh, et al.
Published: (2026)
Pimba: A Processing-in-Memory Acceleration for Post-Transformer Large Language Model Serving
by: Kim, Wonung, et al.
Published: (2025)
by: Kim, Wonung, et al.
Published: (2025)
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation
by: Zhang, Yongan, et al.
Published: (2024)
by: Zhang, Yongan, et al.
Published: (2024)
DALI-PD: Diffusion-based Synthetic Layout Heatmap Generation for ML in Physical Design
by: Wu, Bing-Yue, et al.
Published: (2025)
by: Wu, Bing-Yue, et al.
Published: (2025)
DG-RePlAce: A Dataflow-Driven GPU-Accelerated Analytical Global Placement Framework for Machine Learning Accelerators
by: Kahng, Andrew B., et al.
Published: (2024)
by: Kahng, Andrew B., et al.
Published: (2024)
A Hardware-Aware, Per-Layer Methodology for Post-Training Quantization of Large Language Models
by: Killian, Earl
Published: (2026)
by: Killian, Earl
Published: (2026)
TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans
by: Wang, Fangzhou, et al.
Published: (2024)
by: Wang, Fangzhou, et al.
Published: (2024)
DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators
by: Hong, Charles, et al.
Published: (2025)
by: Hong, Charles, et al.
Published: (2025)
Federated Knowledge Distillation for Multi-Model Architectures Lithography Hotspot Detection
by: Li, Yuqi, et al.
Published: (2025)
by: Li, Yuqi, et al.
Published: (2025)
Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space Exploration
by: Fan, Hanwei, et al.
Published: (2024)
by: Fan, Hanwei, et al.
Published: (2024)
SoberDSE: Sample-Efficient Design Space Exploration via Learning-Based Algorithm Selection
by: Xu, Lei, et al.
Published: (2026)
by: Xu, Lei, et al.
Published: (2026)
Dynamic Tsetlin Machine Accelerators for On-Chip Training at the Edge using FPGAs
by: Mao, Gang, et al.
Published: (2025)
by: Mao, Gang, et al.
Published: (2025)
SetupKit: Efficient Multi-Corner Setup/Hold Time Characterization Using Bias-Enhanced Interpolation and Active Learning
by: Zhou, Junzhuo, et al.
Published: (2025)
by: Zhou, Junzhuo, et al.
Published: (2025)
A Precision-Scalable RISC-V DNN Processor with On-Device Learning Capability at the Extreme Edge
by: Huang, Longwei, et al.
Published: (2023)
by: Huang, Longwei, et al.
Published: (2023)
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
by: Bai, Tao, et al.
Published: (2025)
by: Bai, Tao, et al.
Published: (2025)
DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale
by: Zheng, Ziyang, et al.
Published: (2025)
by: Zheng, Ziyang, et al.
Published: (2025)
RLPlanner: Reinforcement Learning based Floorplanning for Chiplets with Fast Thermal Analysis
by: Duan, Yuanyuan, et al.
Published: (2023)
by: Duan, Yuanyuan, et al.
Published: (2023)
Compact Yet Highly Accurate Printed Classifiers Using Sequential Support Vector Machine Circuits
by: Sertaridis, Ilias, et al.
Published: (2025)
by: Sertaridis, Ilias, et al.
Published: (2025)
Less is More: Hop-Wise Graph Attention for Scalable and Generalizable Learning on Circuits
by: Deng, Chenhui, et al.
Published: (2024)
by: Deng, Chenhui, et al.
Published: (2024)
Comprehensive Verilog Design Problems: A Next-Generation Benchmark Dataset for Evaluating Large Language Models and Agents on RTL Design and Verification
by: Pinckney, Nathaniel, et al.
Published: (2025)
by: Pinckney, Nathaniel, et al.
Published: (2025)
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot Learning
by: Chiang, Hao-Wei, et al.
Published: (2024)
by: Chiang, Hao-Wei, et al.
Published: (2024)
Similar Items
-
NAS-Cap: Deep-Learning Driven 3-D Capacitance Extraction with Neural Architecture Search and Data Augmentation
by: Li, Haoyuan, et al.
Published: (2024) -
Deep-Learning-Based Pre-Layout Parasitic Capacitance Prediction on SRAM Designs
by: Shen, Shan, et al.
Published: (2025) -
Efficient FRW Transitions via Stochastic Finite Differences for Handling Non-Stratified Dielectrics
by: Huang, Jiechen, et al.
Published: (2025) -
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
by: Abi-Karam, Stefan, et al.
Published: (2024) -
Unsupervised Graph Neural Network Framework for Balanced Multipatterning in Advanced Electronic Design Automation Layouts
by: Helaly, Abdelrahman, et al.
Published: (2025)