Kavli Affiliate: Zheng Zhu | First 5 Authors: Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao | Summary: Depth estimation from images serves as the fundamental step of 3D perception for autonomous driving and is an economical alternative to expensive depth sensors like LiDAR. The temporal photometric consistency enables self-supervised depth estimation without […]
Kavli Affiliate: Zheng Zhu | First 5 Authors: Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Yongming Rao | Summary: Depth estimation from images serves as the fundamental step of 3D perception for autonomous driving and is an economical alternative to expensive depth sensors like LiDAR. The temporal photometric constraints enables self-supervised depth estimation without […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Daigo Oue, Mamoru Matsuo, , | Summary: Recent experiments have elucidated that novel nonequilibrium states consistent with the hydrodynamic description of electrons are realized in graphene, which hosts the valley degrees of freedom (DOF) at the corners of the Brillouin zone. Here, we formulate a […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Daigo Oue, Mamoru Matsuo, , | Summary: Recent experiments have revealed that novel nonequilibrium states consistent with the hydrodynamic description of electrons are realized in ultrapure graphene, which hosts the valley degrees of freedom. Here, we formulate a theory of electron hydrodynamics including dissipation processes […]
Kavli Affiliate: Leon Balents | First 5 Authors: Leon Balents, , , , | Summary: We show that triangle-based antiferromagnets with "anti-chiral" order display a non-trivial dependence of the spin orientation with an in-plane field. The spins evolve from rotating in the opposite sense to the field at very low fields to rotating in the […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang | Summary: Conventional machine learning applications typically assume that data samples are independently and identically distributed (i.i.d.). However, practical scenarios often involve a data-generating process that produces highly dependent data samples, which are known to heavily bias […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Ziyi Chen, Bhavya Kailkhura, Yi Zhou, , | Summary: Many important machine learning applications involve regularized nonconvex bi-level optimization. However, the existing gradient-based bi-level optimization algorithms cannot handle nonconvex or nonsmooth regularizers, and they suffer from a high computation complexity in nonconvex bi-level optimization. In this work, […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum inspired algorithm for general locally […]
Kavli Affiliate: Cheng Peng | First 5 Authors: Tianyi Hao, Xuxin Huang, Chunjing Jia, Cheng Peng, | Summary: Combinatorial optimization is of general interest for both theoretical study and real-world applications. Fast-developing quantum algorithms provide a different perspective on solving combinatorial optimization problems. In this paper, we propose a quantum-inspired tensor-network-based algorithm for general locally […]