Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Samuel T. Ciocys, Quentin Marsal, Paul Corbae, Daniel Varjas, Ellis Kennedy | Summary: In our understanding of solids, the formation of highly spatially coherent electronic states, fundamental to command the quantum behavior of materials, relies on the existence of discrete translational symmetry of the crystalline lattice. In […]
Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Samuel T. Ciocys, Quentin Marsal, Paul Corbae, Daniel Varjas, Ellis Kennedy | Summary: In our understanding of solids, the formation of highly spatially coherent electronic states, fundamental to command the quantum behavior of materials, relies on the existence of discrete translational symmetry of the crystalline lattice. In […]
Kavli Affiliate: Alessandra Lanzara | First 5 Authors: Samuel T. Ciocys, Quentin Marsal, Paul Corbae, Daniel Varjas, Ellis Kennedy | Summary: In our understanding of solids, the formation of highly spatially coherent electronic states, fundamental to command the quantum behavior of materials, relies on the existence of discrete translational symmetry of the crystalline lattice. In […]
Kavli Affiliate: Feng Wang | First 5 Authors: Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng | Summary: Existing image augmentation methods consist of two categories: perturbation-based methods and generative methods. Perturbation-based methods apply pre-defined perturbations to augment an original image, but only locally vary the image, thus lacking image diversity. In contrast, […]
Kavli Affiliate: Feng Wang | First 5 Authors: Bohan Li, Xiao Xu, Xinghao Wang, Yutai Hou, Yunlong Feng | Summary: Existing image augmentation methods consist of two categories: perturbation-based methods and generative methods. Perturbation-based methods apply pre-defined perturbations to augment an original image, but only locally vary the image, thus lacking image diversity. In contrast, […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, , , , | Summary: We consider the problem of inferring the underlying graph topology from smooth graph signals in a novel but practical scenario where data are located in distributed clients and are privacy-sensitive. The main difficulty of this task lies in how to […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Qiao Wang, , , | Summary: We consider the problem of inferring graph topology from smooth graph signals in a novel but practical scenario where data are located in distributed clients and prohibited from leaving local clients due to factors such as privacy concerns. The […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Javier Cembrano, Felix Fischer, Max Klimm, , | Summary: We study mechanisms that select a subset of the vertex set of a directed graph in order to maximize the minimum indegree of any selected vertex, subject to an impartiality constraint that the selection of a particular vertex […]
Kavli Affiliate: Felix Fischer | First 5 Authors: Javier Cembrano, Felix Fischer, Max Klimm, , | Summary: We study mechanisms that select a subset of the vertex set of a directed graph in order to maximize the minimum indegree of any selected vertex, subject to an impartiality constraint that the selection of a particular vertex […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang, | Summary: Uncovering rationales behind predictions of graph neural networks (GNNs) has received increasing attention over recent years. Instance-level GNN explanation aims to discover critical input elements, like nodes or edges, that the target GNN relies upon for making […]