yusuke1997/dblp-id-title huggingface dataset:
Industrial Experience with Open-Source EDA Tools
AI-EDA: Toward a Holistic Approach to AI-Powered EDA
Approximate Divider Design Based on Counting-Based Stochastic Computing Division
Using DNNs and Smart Sampling for Coverage Closure Acceleration
F-LEMMA: Fast Learning-based Energy Management for Multi-/Many-core Processors
Domain-Adaptive Soft Real-Time Hybrid Application Mapping for MPSoCs
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL
Optimizing Predictive AI in Physical Design Flows with Mini Pixel Batch Gradient Descent
Cell Library Characterization for Composite Current Source Models Based on Gaussian Process Regression and Active Learning
7th ACM/IEEE Symposium on Machine Learning for CAD, MLCAD 2025, Santa Cruz, CA, USA, September 8-10, 2025
BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
Industry Track: Trajectory.AI: An Automated P&R Flow Trajectory Agent
The Changing Landscape of AI-driven System Optimization for Complex Combinatorial Optimization
MinBLoG: Minimization of Boolean Logic Functions using Graph Attention Network
Machine Learning VLSI CAD Experiments Should Consider Atomic Data Groups
Privacy-Preserving Data and Model Sharing for EDA via Inference Control and DP-SGD
Schemato - An LLM for Netlist-to-Schematic Conversion
5th ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2023, Snowbird, UT, USA, September 10-13, 2023
Efficient Subgraph Matching Framework for Fast Subcircuit Identification
Machine Learning Driven Early Clustering for Multi-bit Flip-Flop Allocation
Efficient and Effective Neural Networks for Automatic Test Pattern Generation
Explaining and Interpreting Machine Learning CAD Decisions: An IC Testing Case Study
Human Language to Analog Layout Using GLayout Layout Automation Framework
From Tuning to Learning: Why the FPGA Physical Design Flow Offers a Compelling Case for ML?
Cost Optimization at Early Stages of Design Using Deep Reinforcement Learning
Beyond Hyperparameter Optimization: Using AI to address Digital Implementation Challenges
An Efficient Timing Model of Flip-Flops Based on Artificial Neural Network
TrojanForge: Generating Adversarial Hardware Trojan Examples Using Reinforcement Learning
Machine-Learning Driven Cell Library Compaction
ScaleRTL: Scaling LLMs with Reasoning Data and Test-Time Compute for Accurate RTL Code Generation
Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards
SpeedER: A Supervised Encoder-Decoder Driven Engine for Effective Resistance Estimation of Power Delivery Networks
Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories
Parallel Per-tile Activation with Linear Superposition of Thermal Response for Solving Arbitrary Power Pattern in 3DIC Thermal Simulation
Pieceformer: Similarity-Driven Knowledge Transfer via Scalable Graph Transformer in VLSI
A Survey of Graph Neural Networks for Electronic Design Automation
Efficient Design Rule Checking Script Generation via Key Information Extraction
Machine Learning-based Fast Circuit Simulation for Analog Circuit Array
Fast Chip Transient Temperature Simulation via Machine Learning
Transfer Learning for Design-Space Exploration with High-Level Synthesis
ReLS: Retrieval Is Efficient Knowledge Transfer For Logic Synthesis
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation
MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event, Iceland, November 16-20, 2020
Delving into Macro Placement with Reinforcement Learning
Enhancing the Capabilities of Quantum Transport Simulations Utilizing Machine Learning Strategies
Compact Models for Initial MOSFET Sizing Based on Higher-order Artificial Neural Networks
Learning to Compare Hardware Designs for High-Level Synthesis
Design Rule Checking with a CNN Based Feature Extractor
Machine Learning in EDA: Opportunities and Challenges
EDA Tool Parameter Optimization Through Fast and Reliable Machine-Learning based Rank Prediction Model
Data-Driven Fast Electrostatics and TDDB Aging Analysis
LLM-assisted Path Exploration for RTL Verification
Industry Track: MAMBO: ML Accelerated Multi-Agent Black-Box Optimization for Enhancing Standard Cell Synthesis Quality
Fast Prediction of Dynamic IR-Drop Using Recurrent U-Net Architecture
Towards NN-based Online Estimation of the Full-Chip Temperature and the Rate of Temperature Change
Routability-Driven Power Distribution Network Synthesis with IR-Drop Budgeting
LLM-VeriPPA: Power, Performance, and Area Optimization aware Verilog Code Generation with Large Language Models
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection
ML-augmented Simulation and Co-optimization for Semiconductor Applications and Design WorkflowsBeyond
Flip-Flop Centric Incremental Placement for Simultaneous Timing and Clock Network Power Optimization
Trusting the Machine: How Secure is LLM-Generated RTL Code?
ArchXBench: A Complex Digital Systems Benchmark Suite for LLM Driven RTL Synthesis
Bridging Divides: Unifying AI Architectures from from Edge to Cloud
Hybrid-NL2SVA: Integrating RAG and Finetuning for LLM-based NL2SVA
High Dimensional Optimization for Electronic Design
Application of Quantum Machine Learning to VLSI Placement
MMM: Machine Learning-Based Macro-Modeling for Linear Analog ICs and ADC/DACs
AI Chips Built by AI - Promise or Reality?: An Industry Perspective
Decision Making in Synthesis cross Technologies using LSTMs and Transfer Learning
An Adaptive Analytic FPGA Placement Framework based on Deep-Learning
HLSFactory: A Framework Empowering High-Level Synthesis Datasets for Machine Learning and Beyond
Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization
ORFS-agent: Tool-Using Agents for Chip Design Optimization
Learning based Memory Interference Prediction for Co-running Applications on Multi-Cores
Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction
Context-Enhanced Architectural Specification Generation for SoC Designs
Prompting for Power: Benchmarking Large Language Models for Low-Power RTL Design Generation
FACT: Fast and Accurate Multi-Corner Predictor for Timing Closure in Commercial EDA Flows
Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information
Automatic compiler optimization on embedded software through k-means clustering
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks
BeyondPPA: Human-Inspired Reinforcement Learning for Post-Route Reliability-Aware Macro Placement
Netlistify: Transforming Circuit Schematics into Netlists with Deep Learning
Placement Optimization via PPA-Directed Graph Clustering
Multimodal Learning-Based Thermal Solver for 3DICs with Arbitrary Chip Dimensions and Power Distributions
An Efficient and Flexible Learning Framework for Dynamic Power and Thermal Co-Management
Ensemble Learning Based Electric Components Footprint Analysis
NeuroSim Agent: Automated Compute-In-Memory Accelerator Deployment with Transferable Reinforcement Learning and Dynamic Design Space Pruning
Variation-aware Analog Circuit Sizing with Classifier Chains
ML-Enhanced Performance and Power Estimation for DNNs on Heterogenous SoCs
Improving Last-Mile Coverage in Functional Verification
AdaPool: Multi-Armed Bandits for Adaptive Virology Screening on Cyber-Physical Digital-Microfluidic Biochips
Machine Learning for High Sigma Analog Designs (Invited)
Post-Routing Path Statistical Delay Estimation Based on SGAT-GRU Prediction Framework
ASPEN: LLM-Guided E-Graph Rewriting for RTL Datapath Optimization
SoC Design Automation with ML - It's Time for Research
Learning-Based Workload Phase Classification and Prediction Using Performance Monitoring Counters
GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session
Priority-Aware Routing Optimization with Full-Path Delay Prediction Using Machine Learning
HADA: Leveraging Multi-Source Data to Train Large Language Models for Hardware Security Assertion Generation
Autoencoder-Based Data Sampling for Machine Learning-Based Lithography Hotspot Detection
Effective Machine-Learning Models for Predicting Routability During FPGA Placement
Dynamic Transformer for Efficient Machine Translation on Embedded Devices
DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks
Simultaneous Clock Wire Sizing and Shield Insertion for Minimizing Routing Blockage
Transfer of Performance Models Across Analog Circuit Topologies with Graph Neural Networks
An ML-aided Approach to Automatically Generate Schematic Symbols in PCB EDA Tools
Mapping Fusion: Improving FPGA Technology Mapping with ASIC Mapper
XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning
Data-driven CAD or Algorithm-Driven CAD: Competitors or Collaborators?
From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction
Exploring Logic Optimizations with Reinforcement Learning and Graph Convolutional Network
Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis
An Enhanced Machine Learning Model for Adaptive Monte Carlo Yield Analysis
ML-TIME: ML-driven Timing Analysis of Integrated Circuits in the Presence of Process Variations and Aging Effects
Characterize the ability of GNNs in attacking logic locking
Automated Physical Design Watermarking Leveraging Graph Neural Networks
Can Wear-Aware Memory Allocation be Intelligent?
Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations
NeuroPDR: Integrating Neural Networks in the PDR Algorithm for Hardware Model Checking
HR 2 : A PVT Aware Hierarchical RL Based Sizing Framework for Robust Analog Circuit Design
Chain-of-Descriptions: Improving Code LLMs for VHDL Code Generation and Summarization
LLM Based Physical Verification Runset Generator
Using Machine Learning Clustering To Find Large Coverage Holes
Rome was Not Built in a Single Step: Hierarchical Prompting for LLM-based Chip Design
CALT: Classification with Adaptive Labeling Thresholds for Analog Circuit Sizing
When Device Modeling Meets Machine Learning: Opportunities and Challenges (Invited)
Dr. Guide: AI-Guided Detailed Routing
MLCAD Today and Tomorrow: Learning, Optimization and Scaling
OpenROAD-Assistant: An Open-Source Large Language Model for Physical Design Tasks
Firefly: Shedding Light on Verification Gaps using LLM-Powered Mutation Testing
Scan Chain Clustering and Optimization with Constrained Clustering and Reinforcement Learning
Accelerating Chip Design with Machine Learning
ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML
Emergent Archives and Crowdsourced Narratives: Two Development Stories from the Queensland State Library
Proceedings of the International Conference Collect and Connect: Archives and Collections in a Digital Age, Leiden, the Netherlands, November 23-24, 2020
Modelling Resolutions of the Dutch States General for Digital Historical Research
From Digitized Sources to Digital Data: Behind the Scences of (Critically) Enriching a Digital Heritage Collection
A High-Performance Word Recognition System for the Biological Fieldnotes of the Natuurkundige Commissie
Supporting Natural History Collections by Connecting Collections
Visualizing and Contexualizing Outliers in Aegean Seal Collections
Recognizing and Linking Entities in Old Dutch Text: A Case Study on VOC Notary Records
Supporting Complexity and Conjectures in Cultural Heritage Descriptions
Linked Data and Holocaust Era Art Markets: Gaps and Dysfunctions in the Knowledge Supply Chain
Proceedings of the 1981 ACM workshop/symposium on Measurement and evaluation of software quality, USA, 1981
The Search for Genericity in Graphics Recognition Applications: Design Issues of the Qgar Software System
Restoring Ink Bleed-Through Degraded Document Images Using a Recursive Unsupervised Classification Technique
Optimization Analysis Based on a Breadth-First Exploration for a Structural Approach of Sketches Interpretation
Effect of Text/Non-text Classification for Ink Search Employing String Recognition
Expanding Recognizable Distorted Characters Using Self-Corrective Recognition
On the Reading of Tables of Contents
Bangla/English Script Identification Based on Analysis of Connected Component Profiles
Skew Estimation by Instances
Automatic unsupervised parameter selection for character segmentation
Sequential Word Spotting in Historical Handwritten Documents
The Ninth IAPR International Workshop on Document Analysis Systems, DAS 2010, June 9-11, 2010, Boston, Massachusetts, USA
A Comparison of Clustering Methods for Word Image Indexing
Symbol Detection in Online Handwritten Graphics Using Faster R-CNN
Joint Recognition of Handwritten Text and Named Entities with a Neural End-to-End Model
Real-Time Document Image Retrieval on a Smartphone
A Neural Network Classifier for Junk E-Mail
ACMU-Nets: Attention Cascading Modular U-Nets Incorporating Squeeze and Excitation Blocks
Combining Multiple Methods for Book Indexing
Document Analysis Systems VI, 6th International Workshop, DAS 2004, Florence, Italy, September 8-10, 2004, Proceedings
SDK Reinvented: Document Image Analysis Methods as RESTful Web Services
Information Retrieval System for Handwritten Documents
Feature Selection for Document Flow Segmentation
On-the-Fly Deformations for Keyword Spotting
Page Segmentation for Historical Document Images Based on Superpixel Classification with Unsupervised Feature Learning
Rescoring Sequence-to-Sequence Models for Text Line Recognition with CTC-Prefixes
Measuring the Robustness of Character Shape Coding
Segmentation of On-Line Handwritten Japanese Text Using SVM for Improving Text Recognition
Associating figures with descriptions for patent documents
Occluded text restoration and recognition
ReadOCR: A Novel Dataset and Readability Assessment of OCRed Texts
SickZil-Machine: A Deep Learning Based Script Text Isolation System for Comics Translation
Two Experiments for Automatic Scoring of Handwritten Descriptive Answers
TEI-Based Interactive Critical Editions
Hairetes: A Search Engine for OCR Documents
Segmentation of Curled Textlines Using Active Contours
Form Analysis by Neural Classification of Cells
Delaunay Triangulation-Based Features for Camera-Based Document Image Retrieval System
Full-Page Music Symbols Recognition: State-of-the-Art Deep Model Comparison for Handwritten and Printed Music Scores
Analysis of Stroke Intersection for Overlapping PGF Elements
Manuscript Text Line Detection and Segmentation Using Second-Order Derivatives
Ensemble of Biased Learners for Offline Arabic Handwriting Recognition
Structural Analysis of Mathematical Formulae with Verification Based on Formula Description Grammar
Text Line Extraction Based on Integrated K-Shortest Paths Optimization
Handwritten Artefact Identification Method for Table Interpretation with Little Use of Previous Knowledge
Fast and Lightweight Text Line Detection on Historical Documents
Compact Binary Feature for Open Set Recognition
Combination of Structural and Factual Descriptors for Document Stream Segmentation
Multi-dimensional Connectionist Classification: Reading Text in One Step
Information Extraction from Tax Assessment Forms
A Two-Step Dewarping of Camera Document Images
CNN Training with Graph-Based Sample Preselection: Application to Handwritten Character Recognition
Plane Geometry Figure Retrieval with Bag of Shapes
Multi-scale Document Description Using Rectangular Granulometries
CNN Based Transfer Learning for Historical Chinese Character Recognition
Recognition of Similar Shaped Handwritten Characters Using Logistic Regression
Relating Statistical Image Differences and Degradation Features
Searching Corrupted Document Collections
Improving Classification of an Industrial Document Image Database by Combining Visual and Textual Features
Post-processing of Handwritten Pitman's Shorthand Using Unigram and Heuristic Approaches
The T-Recs Table Recognition and Analysis System
Grouping Text Lines in Online Handwritten Japanese Documents by Combining Temporal and Spatial Information
Automatic Keyword Extraction from Historical Document Images
An Interactive Transcription System of Census Records Using Word-Spotting Based Information Transfer
What You See is What You Get? Automatic Image Verification for Online News Content
Removal of Background Patterns and Signatures for Magnetic Ink Character Recognition of Checks
Green Interaction for Extracting Family Information from OCR'd Books
A New Context-Based Method for Restoring Occluded Text in Natural Scene Images
An Effective Staff Detection and Removal Technique for Musical Documents
How Important is Global Structure for Characters?
Adapting Tesseract for Complex Scripts: An Example for Urdu Nastalique
IAMonDo-database: an online handwritten document database with non-uniform contents
Is It Possible to Automatically Identify Who Has Forged My Signature? Approaching to the Identification of a Static Signature Forger
A Multi-Layered Corroboration-Based Check Reader
Accuracy Improvement and Objective Evaluation of Annotation Extraction from Printed Documents
Keyword Matching in Historical Machine-Printed Documents Using Synthetic Data, Word Portions and Dynamic Time Warping
A Study on the Document Zone Content Classification Problem
Complex Table Form Analysis Using Graph Grammar
A Two Level Algorithm for Text Detection in Natural Scene Images
Techniques for static handwriting trajectory recovery: a survey
Form recognition from ink strokes on tablet
Word Spotting and Recognition Using Deep Embedding
A Theoretical Foundation and a Method for Document Table Structure Extraction and Decompositon
Improvements to Uncalibrated Feature-Based Stereo Matching for Document Images by Using Text-Line Segmentation
Koios++: A Query-Answering System for Handwritten Input
Combining Visual and Linguistic Models for a Robust Recipient Line Recognition in Historical Documents
Document Image Retrieval in a Question Answering System for Document Images
Automatic Training Set Generation for Better Historic Document Transcription and Compression
Text Line Segmentation Based on Matched Filtering and Top-Down Grouping for Handwritten Documents
Named Entity Recognition in Semi Structured Documents Using Neural Tensor Networks
Groove Extraction of Phonographic Records
Digital Ink to Form Alignment for Electronic Clipboard Devices
A System for Copying Oversize Documents
A Benchmark of Named Entity Recognition Approaches in Historical Documents Application to 19 th Century French Directories
Analysis of Typefaces Designed for Readers with Developmental Dyslexia - Insights from Neural Networks
Ground-Truth Production in the Transcriptorium Project
Document Analysis Systems - 16th IAPR International Workshop, DAS 2024, Athens, Greece, August 30-31, 2024, Proceedings
New Sharpness Features for Image Type Classification Based on Textual Information
Cutting Sayre's Knot: Reading Scene Text without Segmentation. Application to Utility Meters
Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval
Handwritten and Machine-Printed Text Discrimination Using a Template Matching Approach
Seamless Integration of Handwriting Recognition into Pen-Enabled Displays for Fast User Interaction
Gaussian Process Classification as Metric Learning for Forensic Writer Identification
A System for the Automated Reading of Check Amounts - Some Key Ideas
Context-aware and content-based dynamic Voronoi page segmentation
Optical Character Recognition for Sanskrit Using Convolution Neural Networks
Document Analysis Systems - 15th IAPR International Workshop, DAS 2022, La Rochelle, France, May 22-25, 2022, Proceedings
Efficient Document Image Segmentation Representation by Approximating Minimum-Link Polygons
A histogram-based technique for automatic threshold assessment in a run length smoothing-based algorithm
Automatic Extraction of Filled-In Items from Bank-Check Images
Detecting Gradients in Text Images Using the Hough Transform
Off-Line Bangla Signature Verification
Text String Extraction from Scene Image Based on Edge Feature and Morphology
Top-Down Likelihood Word Image Generation Model for Holistic Word Recognition
Word and Sentence Extraction Using Irregular Pyramid
End-to-End Text Recognition Using Local Ternary Patterns, MSER and Deep Convolutional Nets
Latent Dirichlet allocation based writer identification in offline handwriting
Video Degradation Model and Its Application to Character Recognition in e-Learning Videos
A Fast Preprocessing Method for Table Boundary Detection: Narrowing Down the Sparse Lines Using Solely Coordinate Information
Newspaper Article Extraction Using Hierarchical Fixed Point Model
Exploratory Analysis System for Semi-structured Engineering Logs
A Study to Achieve Manga Character Retrieval Method for Manga Images
IIIT-AR-13K: A New Dataset for Graphical Object Detection in Documents
Complete System for Text Line Extraction Using Convolutional Neural Networks and Watershed Transform
Ground truth creation for handwriting recognition in historical documents
Context-Dependent Confusions Rules for Building Error Model Using Weighted Finite State Transducers for OCR Post-Processing
Bessarion: Medieval Greek Inscriptions on a Challenging Dataset for Vision and NLP Tasks
Multi-Oriented English Text Line Extraction Using Background and Foreground Information
Robustness Assessment of Texture Features for the Segmentation of Ancient Documents
Towards more effective distance functions for word image matching
Extracting Table Information from the Web
Representative Image Selection for Data Efficient Word Spotting
Multiscale Handwriting Characterization for Writers' Classification
Safely selecting subsets of training data
A kernel-based approach to document retrieval
A Robust System to Detect and Localize Texts in Natural Scene Images
Named Entity Linking on Handwritten Document Images
Networked Document Imaging with Normalization and Optimization
Adaptive Region Growing Color Segmentation for Text Using Irregular Pyramid
Voronoi-Based Zoning Design by Multi-objective Genetic Optimization
A Cache Language Model for Whole Document Handwriting Recognition
Multi-expert Seal Imprint Verification System for Bankcheck Processing
An impact of linguistic features on automated classification of OCR texts
A Benchmark System for Indian Language Text Recognition
Writer Verification of Arabic Handwriting
A New Cursive Basic Word Database for Bank-Check Processing Systems
A Study for High Performance Character Extraction from Color Scene Images
Word spotting in Alice's adventures underground using multi scale integral orientation features
Structural Mixtures for Statistical Layout Analysis
Knowledge Transfer Using Neural Network Based Approach for Handwritten Text Recognition
Segmentation of Touching Characters in Formulas
Document Logical Structure Analysis Based on Perceptive Cycles
Text Classification via iVector Based Feature Representation
Over-Generative Finite State Transducer N-Gram for Out-of-Vocabulary Word Recognition
The A2iA Arabic Handwritten Text Recognition System at the Open HaRT2013 Evaluation
Contrastive Graph Learning with Graph Convolutional Networks
An Integrated System for the Analysis and the Recognition of Characters in Ancient Documents
Ground-truthed dataset of chemical structure images in Japanese published patent applications
New Spatial-Gradient-Features for Video Script Identification
A System for the Automated Evaluation of Invoices
Offset Neural Network for Document Orientation Identification
A Complete Tamil Optical Character Recognition System
Error Correction of Japanese Character-Recognition in Answers to Writing-Type Questions Using T5
Building Super-Resolution Image Generator for OCR Accuracy Improvement
Document Data Extraction System Based on Visual Words Codebook
Modified X-Y Cut for Re-Ordering Strokes of Online Handwritten Mathematical Expressions
Handwritten Arabic text line segmentation using affinity propagation