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03/25/2023
GPU-accelerated Matrix Cover Algorithm for Multiple Patterning Layout Decomposition
Multiple patterning lithography (MPL) is regarded as one of the most pro...
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03/15/2023
Physics-Informed Optical Kernel Regression Using Complex-valued Neural Fields
Lithography is fundamental to integrated circuit fabrication, necessitat...
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02/16/2023
Entity Aware Modelling: A Survey
Personalized prediction of responses for individual entities caused by e...
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02/07/2023
Transfer learning for process design with reinforcement learning
Process design is a creative task that is currently performed manually b...
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10/27/2022
An Adversarial Active Sampling-based Data Augmentation Framework for Manufacturable Chip Design
Lithography modeling is a crucial problem in chip design to ensure a chi...
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07/08/2022
Large Scale Mask Optimization Via Convolutional Fourier Neural Operator and Litho-Guided Self Training
Machine learning techniques have been extensively studied for mask optim...
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03/12/2022
Generic Lithography Modeling with Dual-band Optics-Inspired Neural Networks
Lithography simulation is a critical step in VLSI design and optimizatio...
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02/11/2022
Modeling Reservoir Release Using Pseudo-Prospective Learning and Physical Simulations to Predict Water Temperature
This paper proposes a new data-driven method for predicting water temper...
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09/16/2021
ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI
We introduce ROS-X-Habitat, a software interface that bridges the AI Hab...
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03/07/2021
Routing Towards Discriminative Power of Class Capsules
Capsule networks are recently proposed as an alternative to modern neura...
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11/11/2020
Teaching deep learning causal effects improves predictive performance
Causal inference is a powerful statistical methodology for explanatory a...
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07/21/2020
DAMO: Deep Agile Mask Optimization for Full Chip Scale
Continuous scaling of the VLSI system leaves a great challenge on manufa...
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12/16/2019
VLSI Mask Optimization: From Shallow To Deep Learning
VLSI mask optimization is one of the most critical stages in manufactura...
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12/12/2019
Automatic Layout Generation with Applications in Machine Learning Engine Evaluation
Machine learning-based lithography hotspot detection has been deeply stu...
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06/25/2019
Are Adversarial Perturbations a Showstopper for ML-Based CAD? A Case Study on CNN-Based Lithographic Hotspot Detection
There is substantial interest in the use of machine learning (ML) based ...
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07/13/2018