A general framework for rotation invariant point cloud analysis

Kavli Affiliate: Wei Gao | First 5 Authors: Shuqing Luo, Wei Gao, , , | Summary: We propose a general method for deep learning based point cloud analysis, which is invariant to rotation on the inputs. Classical methods are vulnerable to rotation, as they usually take aligned point clouds as input. Principle Component Analysis (PCA) […]


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Bi-CryptoNets: Leveraging Different-Level Privacy for Encrypted Inference

Kavli Affiliate: Wei Gao | First 5 Authors: Man-Jie Yuan, Zheng Zou, Wei Gao, , | Summary: Privacy-preserving neural networks have attracted increasing attention in recent years, and various algorithms have been developed to keep the balance between accuracy, computational complexity and information security from the cryptographic view. This work takes a different view from […]


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Bio-Inspired Compensatory Strategies for Damage to Flapping Robotic Propulsors

Kavli Affiliate: Morteza Gharib | First 5 Authors: Meredith L. Hooper, Isabel Scherl, Morteza Gharib, , | Summary: To maintain full autonomy, autonomous robotic systems must have the ability to self-repair. Self-repairing via compensatory mechanisms appears in nature: for example, some fish can lose even 76% of their propulsive surface without loss of thrust by […]


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WiOpen: A Robust Wi-Fi-based Open-set Gesture Recognition Framework

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Jingyang Huang, Huan Yan, Peng Zhao, Guohang Zhuang | Summary: Recent years have witnessed a growing interest in Wi-Fi-based gesture recognition. However, existing works have predominantly focused on closed-set paradigms, where all testing gestures are predefined during training. This poses a significant challenge in real-world […]


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Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


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Developments and applications of the OPTIMADE API for materials discovery, design, and data exchange

Kavli Affiliate: Kristin A. Persson | First 5 Authors: Matthew L. Evans, Johan Bergsma, Andrius Merkys, Casper W. Andersen, Oskar B. Andersson | Summary: The Open Databases Integration for Materials Design (OPTIMADE) application programming interface (API) empowers users with holistic access to a growing federation of databases, enhancing the accessibility and discoverability of materials and […]


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A parallel domain decomposition method for solving elliptic equations on manifolds

Kavli Affiliate: Feng Wang | First 5 Authors: Lizhen Qin, Feng Wang, Yun Wang, , | Summary: We propose a new numerical domain decomposition method for solving elliptic equations on compact Riemannian manifolds. One advantage of this method is its ability to bypass the need for global triangulations or grids on the manifolds. Additionally, it […]


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A parallel domain decomposition method for solving elliptic equations on manifolds

Kavli Affiliate: Feng Wang | First 5 Authors: Lizhen Qin, Feng Wang, Yun Wang, , | Summary: We propose a new numerical domain decomposition method for solving elliptic equations on compact Riemannian manifolds. One advantage of this method is its ability to bypass the need for global triangulations or grids on the manifolds. Additionally, it […]


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Seismic Traveltime Tomography with Label-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Bo Yang, Renfang Wang, Hong Qiu, | Summary: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to […]


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Seismic Traveltime Tomography with Label-free Learning

Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Bo Yang, Renfang Wang, Hong Qiu, | Summary: Deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to […]


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