• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 27 matches

• 2023
• 
  Chuck Alpert:
  Beyond Hyperparameter Optimization: Using AI to address Digital Implementation Challenges. MLCAD 2023: 1
• 
  Fin Amin, Soumyadeep Chatterjee, Paul D. Franzon:
  DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks. MLCAD 2023: 1-6
• 
  Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce:
  Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. MLCAD 2023: 1-6
• 
  Ivo Bolsens:
  Bridging Divides: Unifying AI Architectures from from Edge to Cloud. MLCAD 2023: 1
• 
  Ismail Bustany, Grigor Gasparyan, Amit Gupta, Andrew B. Kahng, Meghraj Kalase, Wuxi Li, Bodhisatta Pramanik:
  The 2023 MLCAD FPGA Macro Placement Benchmark Design Suite and Contest Results. MLCAD 2023: 1-6
• 
  Norman Chang:
  ML-augmented Simulation and Co-optimization for Semiconductor Applications and Design WorkflowsBeyond. MLCAD 2023: 1
• 
  Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan, Siddharth Garg:
  ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. MLCAD 2023: 1-6
• 
  Georges G. E. Gielen:
  Analog synthesis 3.0: AI/ML to synthesize and test analog ICs: hope or hype ? MLCAD 2023: 1
• 
  Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu:
  ChatEDA: A Large Language Model Powered Autonomous Agent for EDA. MLCAD 2023: 1-6
• 
  Guangyu Hu, Wei Zhang, Hongce Zhang:
  NeuroPDR: Integrating Neural Networks in the PDR Algorithm for Hardware Model Checking. MLCAD 2023: 1-6
• 
  Michael Kazda, Michael D. Monkowski, George Antony:
  APEX: Recommending Design Flow Parameters Using a Variational Autoencoder. MLCAD 2023: 1-6
• 
  Bhuvnesh Kumar, Ganapathy Parthasarathy, Saurav Nanda, Sridhar Rajakumar:
  Optimizing Constrained Random Verification with ML and Bayesian Estimation. MLCAD 2023: 1-6
• 
  Wonjae Lee, Insu Cho, Gangmin Cho, Youngsoo Shin:
  Routability-Driven Power Distribution Network Synthesis with IR-Drop Budgeting. MLCAD 2023: 1-6
• 
  Zhi-Hong Lee, Chen-Han Lu, Hsin-Hung Pan, Ting-Chi Wang, Po-Yuan Chen, Cindy Chin-Fang Shen:
  A Robust Routing Guide Generation Approach for Mixed-Size Designs. MLCAD 2023: 1-6
• 
  Jaeseung Lee, Sejin Park, Minhyeok Kweon, Seokhyeong Kang:
  Machine Learning-based Fast Circuit Simulation for Analog Circuit Array. MLCAD 2023: 1-6
• 
  Wei Li, Ruben Purdy, José M. F. Moura, R. D. Shawn Blanton:
  Characterize the ability of GNNs in attacking logic locking. MLCAD 2023: 1-6
• 
  Yishuang Lin, Yaguang Li, Meghna Madhusudan, Sachin S. Sapatnekar, Ramesh Harjani, Jiang Hu:
  MMM: Machine Learning-Based Macro-Modeling for Linear Analog ICs and ADC/DACs. MLCAD 2023: 1-6
• 
  Daniela Sanchez Lopera, Ishwor Subedi, Wolfgang Ecker:
  Using Graph Neural Networks for Timing Estimations of RTL Intermediate Representations. MLCAD 2023: 1-6
• 
  Rodion Novkin, Simon Thomann, Hussam Amrouch:
  ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML. MLCAD 2023: 1-4
• 
  Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma:
  ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning. MLCAD 2023: 1-6
• 
  Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu:
  Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction. MLCAD 2023: 1-6
• 
  Youngsoo Shin:
  AI-EDA: Toward a Holistic Approach to AI-Powered EDA. MLCAD 2023: 1-3
• 
  Yoonsang Song, Gangmin Cho, Wonjae Lee, Youngsoo Shin:
  Simultaneous Clock Wire Sizing and Shield Insertion for Minimizing Routing Blockage. MLCAD 2023: 1-6
• 
  Yannick Uhlmann, Till Moldenhauer, Jürgen Scheible:
  Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization. MLCAD 2023: 1-6
• 
  Zhengfeng Wu, Isabel Song, Ioannis Savidis:
  Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation. MLCAD 2023: 1-6
• 
  Bei Yu:
  Machine Learning in EDA: When and How. MLCAD 2023: 1-6
• 
  5th ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2023, Snowbird, UT, USA, September 10-13, 2023. IEEE 2023, ISBN 979-8-3503-0955-3 [contents]