Kavli Affiliate: Yi Zhou | First 5 Authors: Yue Wang, Yi Zhou, Shaofeng Zou, , | Summary: Greedy-GQ with linear function approximation, originally proposed in cite{maei2010toward}, is a value-based off-policy algorithm for optimal control in reinforcement learning, and it has a non-linear two timescale structure with a non-convex objective function. This paper develops its finite-time […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yue Wang, Yi Zhou, Shaofeng Zou, , | Summary: Greedy-GQ with linear function approximation, originally proposed in cite{maei2010toward}, is a value-based off-policy algorithm for optimal control in reinforcement learning, and it has a non-linear two timescale structure with the non-convex objective function. This paper develops its tightest […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Katelinh Jones, Yuya Jeremy Ong, Yi Zhou, Nathalie Baracaldo, | Summary: Federated Learning (FL) is a paradigm for jointly training machine learning algorithms in a decentralized manner which allows for parties to communicate with an aggregator to create and train a model, without exposing the underlying raw […]
Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Yaodong Li, Yijian Zou, Paolo Glorioso, Ehud Altman, Matthew P. A. Fisher | Summary: We investigate the prospects of employing the linear cross-entropy to experimentally access measurement-induced phase transitions (MIPT) without requiring any postselection of quantum trajectories. For two random circuits that are identical in […]
Kavli Affiliate: Matthew P. A. Fisher | First 5 Authors: Yaodong Li, Yijian Zou, Paolo Glorioso, Ehud Altman, Matthew P. A. Fisher | Summary: We investigate the prospects of employing the linear cross-entropy to experimentally access measurement-induced phase transitions (MIPT) without requiring any postselection of quantum trajectories. For two random circuits that are identical in […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Yi Zhou, , , , | Summary: Let $u(t,x)$ be the solution to the Cauchy problem of a scalar conservation law in one space dimension. It is well known that even for smooth initial data the solution can become discontinuous in finite time and global entropy weak […]
Kavli Affiliate: Biao Huang | First 5 Authors: Yan Qin, Chau Yuen, Xunyuan Yin, Biao Huang, | Summary: As a significant ingredient regarding health status, data-driven state-of-health (SOH) estimation has become dominant for lithium-ion batteries (LiBs). To handle data discrepancy across batteries, current SOH estimation models engage in transfer learning (TL), which reserves apriori knowledge […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Mamoru Matsuo, , , | Summary: Recent experiments have shown an indication of a hydrodynamic magnon behavior in ultrapure ferromagnetic insulators; however, its direct observation is still lacking. Here, we derive a set of coupled hydrodynamic equations and study the thermal and spin conductivities for […]
Kavli Affiliate: Mamoru Matsuo | First 5 Authors: Ryotaro Sano, Mamoru Matsuo, , , | Summary: Recent experiments have shown an indication of a hydrodynamic magnon behavior in ultrapure ferromagnetic insulators; however, its direct observation is still lacking. Here, we derive a set of coupled hydrodynamic equations and study the thermal and spin conductivities for […]
Kavli Affiliate: Yi Zhou | First 5 Authors: Zhaoguang Yi, Zhou Chen, Yunjie Yang, , | Summary: Deep learning has been widely employed to solve the Electrical Impedance Tomography (EIT) image reconstruction problem. Most existing physical model-based and learning-based approaches focus on 2D EIT image reconstruction. However, when they are directly extended to the 3D […]