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Engineering 论文解读
Engineering 领域重要论文的 AI 解读列表,按研究动机、方法与结果结构化呈现。
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Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
Xian Shi, Xun Xu, +4
arXiv (Cornell University)
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2021
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18 citations
Lattice Boltzmann method for fluid-structure interaction in compressible flow
Abhimanyu Bhadauria, Benedikt Dorschner, +1
arXiv (Cornell University)
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2021
|
18 citations
Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings
Ilyass Hammouamri, Ismail Khalfaoui-Hassani, +1
arXiv (Cornell University)
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2023
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18 citations
Learning Efficient Structured Sparse Models
Alex Bronstein, Pablo Sprechmann, +1
arXiv (Cornell University)
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2012
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18 citations
Learning Robotic Manipulation through Visual Planning and Acting
Angelina Wang, Thanard Kurutach, +3
arXiv (Cornell University)
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2019
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18 citations
Learning Temporal Logical Properties Discriminating ECG models of Cardiac Arrhytmias
Ezio Bartocci, Luca Bortolussi, +1
arXiv (Cornell University)
|
2013
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18 citations
Learning to Group: A Bottom-Up Framework for 3D Part Discovery in Unseen Categories
Tiange Luo, Kaichun Mo, +5
arXiv (Cornell University)
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2020
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18 citations
Learning to Manipulate Deformable Objects without Demonstrations
Yilin Wu, Wilson Yan, +3
arXiv (Cornell University)
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2019
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18 citations
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic Forecasting
Hyunwook Lee, Seungmin Jin, +3
arXiv (Cornell University)
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2021
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18 citations
Learning to solve the credit assignment problem
Benjamin Lansdell, Prashanth Ravi Prakash, +1
arXiv (Cornell University)
|
2019
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18 citations
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