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07/29/2023
Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty
This paper introduces an extended tensor decomposition (XTD) method for ...
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04/07/2023
AutoQNN: An End-to-End Framework for Automatically Quantizing Neural Networks
Exploring the expected quantizing scheme with suitable mixed-precision p...
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08/02/2022
Stochastic additive manufacturing simulation: from experiment to surface roughness and porosity prediction
Deterministic computational modeling of laser powder bed fusion (LPBF) p...
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10/09/2021
Human-Aware Robot Navigation via Reinforcement Learning with Hindsight Experience Replay and Curriculum Learning
In recent years, the growing demand for more intelligent service robots ...
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09/08/2021
Elastic Significant Bit Quantization and Acceleration for Deep Neural Networks
Quantization has been proven to be a vital method for improving the infe...
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05/13/2021
HiDeNN-PGD: reduced-order hierarchical deep learning neural networks
This paper presents a proper generalized decomposition (PGD) based reduc...
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03/16/2021
EADNet: Efficient Asymmetric Dilated Network for Semantic Segmentation
Due to real-time image semantic segmentation needs on power constrained ...
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05/18/2020
