| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Rodion Novkin, Simon Thomann, Hussam Amrouch |
ML-TCAD: Perspectives and Challenges on Accelerating Transistor Modeling using ML.  |
MLCAD  |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yannick Uhlmann, Till Moldenhauer, Jürgen Scheible |
Differentiable Neural Network Surrogate Models for gm/ID-based Analog IC Sizing Optimization. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Michael Kazda, Michael D. Monkowski, George Antony |
APEX: Recommending Design Flow Parameters Using a Variational Autoencoder. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Prianka Sengupta, Aakash Tyagi, Yiran Chen 0001, Jiang Hu |
Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniela Sanchez Lopera, Ishwor Subedi, Wolfgang Ecker |
Using Graph Neural Networks for Timing Estimations of RTL Intermediate Representations. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Wonjae Lee, Insu Cho, Gangmin Cho, Youngsoo Shin |
Routability-Driven Power Distribution Network Synthesis with IR-Drop Budgeting. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yikang Ouyang, Sicheng Li, Dongsheng Zuo, Hanwei Fan, Yuzhe Ma |
ASAP: Accurate Synthesis Analysis and Prediction with Multi-Task Learning. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivo Bolsens |
Bridging Divides: Unifying AI Architectures from from Edge to Cloud. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yoonsang Song, Gangmin Cho, Wonjae Lee, Youngsoo Shin |
Simultaneous Clock Wire Sizing and Shield Insertion for Minimizing Routing Blockage. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Georges G. E. Gielen |
Analog synthesis 3.0: AI/ML to synthesize and test analog ICs: hope or hype ? |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Li, Ruben Purdy, José M. F. Moura, R. D. Shawn Blanton |
Characterize the ability of GNNs in attacking logic locking. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Fin Amin, Soumyadeep Chatterjee, Paul D. Franzon |
DepthGraphNet: Circuit Graph Isomorphism Detection via Siamese-Graph Neural Networks. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Bhuvnesh Kumar, Ganapathy Parthasarathy, Saurav Nanda, Sridhar Rajakumar |
Optimizing Constrained Random Verification with ML and Bayesian Estimation. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Jaeseung Lee, Sejin Park 0001, Minhyeok Kweon, Seokhyeong Kang |
Machine Learning-based Fast Circuit Simulation for Analog Circuit Array. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | |
5th ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2023, Snowbird, UT, USA, September 10-13, 2023 |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Animesh Basak Chowdhury, Jitendra Bhandari, Luca Collini, Ramesh Karri, Benjamin Tan 0001, Siddharth Garg |
ConVERTS: Contrastively Learning Structurally InVariant Netlist Representations. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Youngsoo Shin |
AI-EDA: Toward a Holistic Approach to AI-Powered EDA. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Norman Chang |
ML-augmented Simulation and Co-optimization for Semiconductor Applications and Design WorkflowsBeyond. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Bei Yu 0001 |
Machine Learning in EDA: When and How. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | 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 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu 0001 |
ChatEDA: A Large Language Model Powered Autonomous Agent for EDA. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Guangyu Hu, Wei Zhang 0012, Hongce Zhang |
NeuroPDR: Integrating Neural Networks in the PDR Algorithm for Hardware Model Checking. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhengfeng Wu, Isabel Song, Ioannis Savidis |
Hybrid Utilization of Subgraph Isomorphism and Relational Graph Convolutional Networks for Analog Functional Grouping Annotation. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Chuck Alpert |
Beyond Hyperparameter Optimization: Using AI to address Digital Implementation Challenges. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Jason Blocklove, Siddharth Garg, Ramesh Karri, Hammond Pearce |
Chip-Chat: Challenges and Opportunities in Conversational Hardware Design. |
MLCAD |
2023 |
DBLP DOI BibTeX RDF |
|
| 1 | Yuejiang Wen, Jacob Dean, Brian A. Floyd, Paul D. Franzon |
High Dimensional Optimization for Electronic Design. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Hadi Esmaeilzadeh, Soroush Ghodrati, Andrew B. Kahng, Joon Kyung Kim, Sean Kinzer, Sayak Kundu, Rohan Mahapatra, Susmita Dey Manasi, Sachin S. Sapatnekar, Zhiang Wang, Ziqing Zeng |
Physically Accurate Learning-based Performance Prediction of Hardware-accelerated ML Algorithms. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Wei Shi, Hanrui Wang 0002, Jiaqi Gu, Mingjie Liu, David Z. Pan, Song Han 0003, Nan Sun 0001 |
RobustAnalog: Fast Variation-Aware Analog Circuit Design Via Multi-task RL. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Yi-Chen Lu, Wei-Ting Chan, Vishal Khandelwal, Sung Kyu Lim |
Driving Early Physical Synthesis Exploration through End-of-Flow Total Power Prediction. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Oluwaseyi Akinwande, Osama Waqar Bhatti, Xingchen Li, Madhavan Swaminathan |
Invertible Neural Networks for Design of Broadband Active Mixers. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Vidya A. Chhabria, Ben Keller, Yanqing Zhang 0002, Sandeep Vollala, Sreedhar Pratty, Haoxing Ren, Brucek Khailany |
XT-PRAGGMA: Crosstalk Pessimism Reduction Achieved with GPU Gate-level Simulations and Machine Learning. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhengfeng Wu, Ioannis Savidis |
Transfer of Performance Models Across Analog Circuit Topologies with Graph Neural Networks. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Mohamed Tarek Ismail, Hossam Sharara, Kareem Madkour, Karim G. Seddik |
Autoencoder-Based Data Sampling for Machine Learning-Based Lithography Hotspot Detection. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Pratik Shrestha, Saran Phatharodom, Ioannis Savidis |
Graph Representation Learning for Gate Arrival Time Prediction. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Christopher A. Metz, Mehran Goli, Rolf Drechsler |
Towards Neural Hardware Search: Power Estimation of CNNs for GPGPUs with Dynamic Frequency Scaling. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Priyank Kashyap, Archit Gajjar, Yongjin Choi, Chau-Wai Wong, Dror Baron, Tianfu Wu 0001, Chris Cheng, Paul D. Franzon |
RxGAN: Modeling High-Speed Receiver through Generative Adversarial Networks. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Thomas Andersen |
AI Chips Built by AI - Promise or Reality?: An Industry Perspective. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Christian Lück, Daniela Sanchez Lopera, Sven Wenzek, Wolfgang Ecker |
Industrial Experience with Open-Source EDA Tools. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Somdeb Majumdar |
The Changing Landscape of AI-driven System Optimization for Complex Combinatorial Optimization. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Rishikesh Ranade, Haiyang He, Jay Pathak, Norman Chang, Akhilesh Kumar, Jimin Wen |
A Thermal Machine Learning Solver For Chip Simulation. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Zixuan Jiang, Mingjie Liu, Zizheng Guo, Shuhan Zhang, Yibo Lin, David Z. Pan |
A Tale of EDA's Long Tail: Long-Tailed Distribution Learning for Electronic Design Automation. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | |
2022 ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2022, Virtual Event, China, September 12-13, 2022 |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Yonghwi Kwon 0002, Youngsoo Shin |
Fast Prediction of Dynamic IR-Drop Using Recurrent U-Net Architecture. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuhan Zhang, Fan Yang 0001, Changhao Yan, Dian Zhou, Xuan Zeng 0001 |
LinEasyBO: Scalable Bayesian Optimization Approach for Analog Circuit Synthesis via One-Dimensional Subspaces. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Vidya A. Chhabria, Wenjing Jiang, Andrew B. Kahng, Sachin S. Sapatnekar |
From Global Route to Detailed Route: ML for Fast and Accurate Wire Parasitics and Timing Prediction. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Umair F. Siddiqi, Timothy Martin, Sam Van Den Eijnden, Ahmed Shamli, Gary Gréwal, Sadiq M. Sait, Shawki Areibi |
Faster FPGA Routing by Forecasting and Pre-Loading Congestion Information. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Binwu Zhu, Xinyun Zhang, Yibo Lin, Bei Yu 0001, Martin D. F. Wong |
Efficient Design Rule Checking Script Generation via Key Information Extraction. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Naiju Karim Abdul, George Antony, Rahul M. Rao, Suriya T. Skariah |
Scan Chain Clustering and Optimization with Constrained Clustering and Reinforcement Learning. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Hung-Yun Hsu, Mark Po-Hung Lin |
Automatic Analog Schematic Diagram Generation based on Building Block Classification and Reinforcement Learning. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Yi-Chen Lu, Tian Yang, Sung Kyu Lim, Haoxing Ren |
Placement Optimization via PPA-Directed Graph Clustering. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Borivoje Nikolic |
ML for Analog Design: Good Progress, but More to Do. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Bing-Yue Wu, Shao-Yun Fang, Hsiang-Wen Chang, Peter Wei |
SpeedER: A Supervised Encoder-Decoder Driven Engine for Effective Resistance Estimation of Power Delivery Networks. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Yannick Uhlmann, Michael Essich, Lennart Bramlage, Jürgen Scheible, Cristóbal Curio |
Deep Reinforcement Learning for Analog Circuit Sizing with an Electrical Design Space and Sparse Rewards. |
MLCAD |
2022 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhengfeng Wu, Ioannis Savidis |
Variation-aware Analog Circuit Sizing with Classifier Chains. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Luis Francisco, Paul D. Franzon, W. Rhett Davis |
Fast and Accurate PPA Modeling with Transfer Learning. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Erika S. Alcorta, Andreas Gerstlauer |
Learning-Based Workload Phase Classification and Prediction Using Performance Monitoring Counters. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Kuan-Chun Chen, Chou-Chen Lee, Mark Po-Hung Lin, Yan-Jhih Wang, Yi-Ting Chen |
Massive Figure Extraction and Classification in Electronic Component Datasheets for Accelerating PCB Design Preparation. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Timothy Martin, Shawki Areibi, Gary Gréwal |
Effective Machine-Learning Models for Predicting Routability During FPGA Placement. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Subed Lamichhane, Shaoyi Peng, Wentian Jin, Sheldon X.-D. Tan |
Fast Electrostatic Analysis For VLSI Aging based on Generative Learning. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Zixuan Jiang, Ebrahim M. Songhori, Shen Wang, Anna Goldie, Azalia Mirhoseini, Joe W. J. Jiang, Young-Joon Lee, David Z. Pan |
Delving into Macro Placement with Reinforcement Learning. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Daniela Sanchez Lopera, Lorenzo Servadei, Gamze Naz Kiprit, Souvik Hazra, Robert Wille, Wolfgang Ecker |
A Survey of Graph Neural Networks for Electronic Design Automation. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jie Xiong, Alan Yang, Maxim Raginsky, Elyse Rosenbaum |
Neural Networks for Transient Modeling of Circuits : Invited Paper. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Madhvi Agarwal, Sneh Saurabh |
An Efficient Timing Model of Flip-Flops Based on Artificial Neural Network. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Felix Last, Ulf Schlichtmann |
Feeding Hungry Models Less: Deep Transfer Learning for Embedded Memory PPA Models : Special Session. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Veera Venkata Ram Murali Krishna Rao Muvva, Martin Rapp, Jörg Henkel, Hussam Amrouch, Marilyn Wolf |
On the Effectiveness of Quantization and Pruning on the Performance of FPGAs-based NN Temperature Estimation. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Raviv Gal, Eldad Haber, Brian Irwin, Marwa Mouallem, Bilal Saleh, Avi Ziv |
Using Deep Neural Networks And Derivative Free Optimization To Accelerate Coverage Closure. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | |
3rd ACM/IEEE Workshop on Machine Learning for CAD, MLCAD 2021, Raleigh, NC, USA, August 30 - Sept. 3, 2021 |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Peng-Tai Huang, Xuan-Yi Lin, Yan-Jhih Wang, Tsung-Yi Ho |
Ensemble Learning Based Electric Components Footprint Analysis. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Yaguang Li, Yishuang Lin, Meghna Madhusudan, Arvind K. Sharma, Sachin S. Sapatnekar, Ramesh Harjani, Jiang Hu |
A Circuit Attention Network-Based Actor-Critic Learning Approach to Robust Analog Transistor Sizing. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Mohamed Saleh Abouelyazid, Sherif Hammouda, Yehea Ismail |
Connectivity-Based Machine Learning Compact Models for Interconnect Parasitic Capacitances. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Hishan Parry, Lei Xun, Amin Sabet, Jia Bi, Jonathon S. Hare, Geoff V. Merrett |
Dynamic Transformer for Efficient Machine Translation on Embedded Devices. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Mohamed Baker Alawieh, David Z. Pan |
ADAPT: An Adaptive Machine Learning Framework with Application to Lithography Hotspot Detection. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Jan Spieck, Stefan Wildermann, Jürgen Teich |
Domain-Adaptive Soft Real-Time Hybrid Application Mapping for MPSoCs. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Ahsan Saeed, Daniel Mueller-Gritschneder, Falk Rehm, Arne Hamann, Dirk Ziegenbein, Ulf Schlichtmann, Andreas Gerstlauer |
Learning based Memory Interference Prediction for Co-running Applications on Multi-Cores. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Shuyuan Yu, Yibo Liu, Sheldon X.-D. Tan |
Approximate Divider Design Based on Counting-Based Stochastic Computing Division. |
MLCAD |
2021 |
DBLP DOI BibTeX RDF |
|
| 1 | Vishal Khandelwal |
Machine-Learning Enabled Next-Generation Physical Design - An EDA Perspective. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Elias Fallon |
Machine Learning in EDA: Opportunities and Challenges. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Vijay Deep Bhatt, Wolfgang Ecker, Volkan Esen, Zhao Han, Daniela Sanchez Lopera, Rituj Patel, Lorenzo Servadei, Sahil Singla 0003, Sven Wenzek, Vijaydeep Yadav, Elena Zennaro |
SoC Design Automation with ML - It's Time for Research. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Andrew B. Kahng |
MLCAD Today and Tomorrow: Learning, Optimization and Scaling. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Christian Hakert, Kuan-Hsun Chen, Jian-Jia Chen |
Can Wear-Aware Memory Allocation be Intelligent? |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Cunxi Yu, Wang Zhou |
Decision Making in Synthesis cross Technologies using LSTMs and Transfer Learning. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Yuan Cao, Tianhao Shen, Li Zhang 0021, Xunzhao Yin, Cheng Zhuo |
An Efficient and Flexible Learning Framework for Dynamic Power and Thermal Co-Management. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Rajeev Jain, Pankaj Kukkal |
Data-driven CAD or Algorithm-Driven CAD: Competitors or Collaborators? |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Jinwei Zhang, Sheriff Sadiqbatcha, Yuanqi Gao, Michael O'Dea, Nanpeng Yu, Sheldon X.-D. Tan |
HAT-DRL: Hotspot-Aware Task Mapping for Lifetime Improvement of Multicore System using Deep Reinforcement Learning. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Yun-Jie Ni, Yan-Jhih Wang, Tsung-Yi Ho |
Footprint Classification of Electric Components on Printed Circuit Boards. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Hammond Pearce, Benjamin Tan 0001, Ramesh Karri |
DAVE: Deriving Automatically Verilog from English. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Pak Hei Matthew Leung |
Design Challenges on Post Moore's Law Era. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Marzieh Ashrafiamiri, Sai Manoj Pudukotai Dinakarrao, Amir Hosein Afandizadeh Zargari, Minjun Seo, Fadi J. Kurdahi, Houman Homayoun |
R2AD: Randomization and Reconstructor-based Adversarial Defense on Deep Neural Network. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Mohamed Ibrahim |
AdaPool: Multi-Armed Bandits for Adaptive Virology Screening on Cyber-Physical Digital-Microfluidic Biochips. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Felix Last, Ulf Schlichtmann |
Partial Sharing Neural Networks for Multi-Target Regression on Power and Performance of Embedded Memories. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Zhengfeng Wu, Ioannis Savidis |
CALT: Classification with Adaptive Labeling Thresholds for Analog Circuit Sizing. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Prashanth Krishnamurthy, Animesh Basak Chowdhury, Benjamin Tan 0001, Farshad Khorrami, Ramesh Karri |
Explaining and Interpreting Machine Learning CAD Decisions: An IC Testing Case Study. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Jihye Kwon, Luca P. Carloni |
Transfer Learning for Design-Space Exploration with High-Level Synthesis. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Haiguang Liao, Qingyi Dong, Weiyi Qi, Elias Fallon, Levent Burak Kara |
Track-Assignment Detailed Routing Using Attention-based Policy Model With Supervision. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Ulf Schlichtmann, Raviv Gal, Hussam Amrouch, Hai (Helen) Li (eds.) |
MLCAD '20: 2020 ACM/IEEE Workshop on Machine Learning for CAD, Virtual Event, Iceland, November 16-20, 2020 |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | An Zou, Karthik Garimella, Benjamin Lee, Christopher D. Gill, Xuan Zhang 0001 |
F-LEMMA: Fast Learning-based Energy Management for Multi-/Many-core Processors. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Brucek Khailany |
Accelerating Chip Design with Machine Learning. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
|
| 1 | Luis Francisco, Tanmay Lagare, Arpit Jain, Somal Chaudhary, Madhura Kulkarni, Divya Sardana, W. Rhett Davis, Paul D. Franzon |
Design Rule Checking with a CNN Based Feature Extractor. |
MLCAD |
2020 |
DBLP DOI BibTeX RDF |
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