Kavli Affiliate: Wei Gao | First 5 Authors: Ruichao Yang, Wei Gao, Jing Ma, Hongzhan Lin, Bo Wang | Summary: Learning multi-task models for jointly detecting stance and verifying rumors poses challenges due to the need for training data of stance at post level and rumor veracity at claim level, which are difficult to obtain. […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yinchuan Wang, Nianfei Du, Yongsen Qin, Xiang Zhang, Rui Song | Summary: It is challenging for the mobile robot to achieve autonomous and mapless navigation in the unknown environment with uneven terrain. In this study, we present a layered and systematic pipeline. At the local level, we […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Yinchuan Wang, Nianfei Du, Yongsen Qin, Xiang Zhang, Rui Song | Summary: It is challenging for the mobile robot to achieve autonomous and mapless navigation in the unknown environment with uneven terrain. In this study, we present a layered and systematic pipeline. At the local level, we […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Jorge L. Rosa-Raíces, David T. Limmer, , , | Summary: Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscapes under persistent currents. Within the framework of stochastic thermodynamics, we establish a variant […]
Kavli Affiliate: David T. Limmer | First 5 Authors: Jorge L. Rosa-Raíces, David T. Limmer, , , | Summary: Studying the structure of systems in nonequilibrium steady states necessitates tools that quantify population shifts and associated deformations of equilibrium free energy landscapes under persistent currents. Within the framework of stochastic thermodynamics, we establish a variant […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Junjie Xu, Zongyu Wu, Minhua Lin, Xiang Zhang, Suhang Wang | Summary: Recent progress in Graph Neural Networks (GNNs) has greatly enhanced the ability to model complex molecular structures for predicting properties. Nevertheless, molecular data encompasses more than just graph structures, including textual and visual information that […]
Kavli Affiliate: Changhuei Yang | First 5 Authors: Haowen Zhou, Steven, Lin, Mark Watson, Cory T. Bernadt | Summary: Deep learning assisted digital pathology has the potential to impact clinical practice in significant ways. In recent studies, deep neural network (DNN) enabled analysis outperforms human pathologists. Increasing sizes and complexity of the DNN architecture generally […]
Kavli Affiliate: Chiara Daraio | First 5 Authors: Wenjie Zhou, Sujeeka Nadarajah, Liuchi Li, Anna G. Izard, Aashutosh K. Prachet | Summary: Architected materials derive their properties from the geometric arrangement of their internal structural elements, rather than solely from their chemical composition. They can display remarkable behaviors such as high strength while being lightweight, […]
Kavli Affiliate: Chiara Daraio | First 5 Authors: Wenjie Zhou, Sujeeka Nadarajah, Liuchi Li, Anna G. Izard, Hujie Yan | Summary: Architected materials derive their properties from the geometric arrangement of their internal structural elements. Their designs rely on continuous networks of members to control the global mechanical behavior of the bulk. Here, we introduce […]
Kavli Affiliate: Stephanie Wehner | First 5 Authors: Álvaro G. Iñesta, Hyeongrak Choi, Dirk Englund, Stephanie Wehner, | Summary: Distributing quantum states reliably among distant locations is a key challenge in the field of quantum networks. One-way quantum networks address this by using one-way communication and quantum error correction. Here, we analyze quantum circuit switching […]