Using magnetic dynamics to measure the spin gap in a candidate Kitaev material

Posted by dbos UCAS

Kavli Affiliate: Cheng Peng | First 5 Authors: Xinyi Jiang, Qingzheng Qiu, Cheng Peng, Hoyoung Jang, Wenjie Chen | Summary: Materials potentially hosting Kitaev spin-liquid states are considered crucial for realizing topological quantum computing. However, the intricate nature of spin interactions within these materials complicates the precise measurement of low-energy spin excitations indicative of fractionalized […]


Continue.. Using magnetic dynamics to measure the spin gap in a candidate Kitaev material

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Tianchen Zhou, FNU Hairi, Haibo Yang, Jia Liu, Tian Tong | Summary: Reinforcement learning with multiple, potentially conflicting objectives is pervasive in real-world applications, while this problem remains theoretically under-explored. This paper tackles the multi-objective reinforcement learning (MORL) problem and introduces an innovative actor-critic algorithm named MOAC […]


Continue.. Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Posted by dbos Tokyo

Kavli Affiliate: Jia Liu | First 5 Authors: Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu | Summary: Existing works in federated learning (FL) often assume an ideal system with either full client or uniformly distributed client participation. However, in practice, it has been observed that some clients may never participate in FL […]


Continue.. Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Modulation of aggression by social novelty recognition memory in the hippocampal CA2 region

Posted by dbos Columbia

Kavli Affiliate: Steven Siegelbaum | Authors: Andres Villegas and Steven A Siegelbaum | Summary: The dorsal CA2 subregion (dCA2) of the hippocampus exerts a critical role in social novelty recognition (SNR) memory and in the promotion of social aggression. Whether the social aggression and SNR memory functions of dCA2 are related or represent independent processes […]


Continue.. Modulation of aggression by social novelty recognition memory in the hippocampal CA2 region

Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]


Continue.. Semi-supervised Symmetric Non-negative Matrix Factorization with Low-Rank Tensor Representation

Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation

Posted by dbos Peking

Kavli Affiliate: Ran Wang | First 5 Authors: Yuheng Jia, Jia-Nan Li, Wenhui Wu, Ran Wang, | Summary: Semi-supervised symmetric non-negative matrix factorization (SNMF) utilizes the available supervisory information (usually in the form of pairwise constraints) to improve the clustering ability of SNMF. The previous methods introduce the pairwise constraints from the local perspective, i.e., […]


Continue.. Semi-supervised Symmetric Matrix Factorization with Low-Rank Tensor Representation

Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Posted by dbos Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Takuma Izumi, Yoshiki Matsuoka, Masafusa Onoue, Michael A. Strauss, Hideki Umehata | Summary: We present ALMA [CII] 158 $mu$m line and underlying far-infrared (FIR) continuum emission observations ($0”.57 times 0”.46$ resolution) toward a quasar-quasar pair system recently discovered at $z = 6.05$ (Matsuoka et al. 2024). […]


Continue.. Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars

Posted by dbos Tokyo

Kavli Affiliate: John D. Silverman | First 5 Authors: Takuma Izumi, Yoshiki Matsuoka, Masafusa Onoue, Michael A. Strauss, Hideki Umehata | Summary: We present ALMA [CII] 158 $mu$m line and underlying far-infrared continuum emission observations ($0”.57 times 0”.46$ resolution) toward a quasar-quasar pair system recently discovered at $z = 6.05$ (Matsuoka et al. 2024). The […]


Continue.. Merging gas-rich galaxies that harbor low-luminosity twin quasars at z = 6.05: a promising progenitor of the most luminous quasars