Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


Continue.. Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

Kavli Affiliate: Jia Liu | First 5 Authors: Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu | Summary: Combinatorial Optimization (CO) addresses many important problems, including the challenging Maximum Independent Set (MIS) problem. Alongside exact and heuristic solvers, differentiable approaches have emerged, often using continuous relaxations of ReLU-based or quadratic objectives. Noting […]


Continue.. Dataless Quadratic Neural Networks for the Maximum Independent Set Problem

The Belle II Detector Upgrades Framework Conceptual Design Report

Kavli Affiliate: T. Higuchi | First 5 Authors: H. Aihara, A. Aloisio, D. P. Auguste, M. Aversano, M. Babeluk | Summary: We describe the planned near-term and potential longer-term upgrades of the Belle II detector at the SuperKEKB electron-positron collider operating at the KEK laboratory in Tsukuba, Japan. These upgrades will allow increasingly sensitive searches […]


Continue.. The Belle II Detector Upgrades Framework Conceptual Design Report

Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Kavli Affiliate: John D. Silverman | First 5 Authors: Wenke Ren, Hengxiao Guo, Yue Shen, John D. Silverman, Colin J. Burke | Summary: We introduce an improved method for decomposing the emission of active galactic nuclei (AGN) and their host galaxies using templates from principal component analysis (PCA). This approach integrates prior information from PCA […]


Continue.. Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Kavli Affiliate: John D. Silverman | First 5 Authors: Wenke Ren, Hengxiao Guo, Yue Shen, John D. Silverman, Colin J. Burke | Summary: We introduce an improved method for decomposing the emission of active galactic nuclei (AGN) and their host galaxies using templates from principal component analysis (PCA). This approach integrates prior information from PCA […]


Continue.. Prior-Informed AGN-Host Spectral Decomposition Using PyQSOFit

Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Drew Jamieson, Angelo Caravano, Jiamin Hou, Zachary Slepian, Eiichiro Komatsu | Summary: We introduce the Parity-Odd Power (POP) spectra, a novel set of observables for probing parity violation in cosmological $N$-point statistics. POP spectra are derived from composite fields obtained by applying nonlinear transformations, involving also gradients, […]


Continue.. Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

Kavli Affiliate: Eiichiro Komatsu | First 5 Authors: Drew Jamieson, Angelo Caravano, Jiamin Hou, Zachary Slepian, Eiichiro Komatsu | Summary: We introduce the Parity-Odd Power (POP) spectra, a novel set of observables for probing parity violation in cosmological $N$-point statistics. POP spectra are derived from composite fields obtained by applying nonlinear transformations, involving also gradients, […]


Continue.. Parity-Odd Power Spectra: Concise Statistics for Cosmological Parity Violation

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing

Kavli Affiliate: Jia Liu | First 5 Authors: Yuannan Li, Shan Xu, Jia Liu, , | Summary: The ability to manipulate logical-mathematical symbols (LMS), encompassing tasks such as calculation, reasoning, and programming, is a cognitive skill arguably unique to humans. Considering the relatively recent emergence of this ability in human evolutionary history, it has been […]


Continue.. The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing

Weak-lensing Shear-selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: II. Cosmological Constraints from the Cluster Abundance

Kavli Affiliate: Masahiro Takada | First 5 Authors: I-Non Chiu, Kai-Feng Chen, Masamune Oguri, Markus M. Rau, Hironao Miyatake | Summary: We present cosmological constraints using the abundance of weak-lensing shear-selected galaxy clusters in the Hyper Suprime-Cam (HSC) Subaru Strategic Program. The clusters are selected on the mass maps constructed using the three-year (Y3) weak-lensing […]


Continue.. Weak-lensing Shear-selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: II. Cosmological Constraints from the Cluster Abundance

Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: II. Cosmological Constraints from the Cluster Abundance

Kavli Affiliate: Masahiro Takada | First 5 Authors: I-Non Chiu, Kai-Feng Chen, Masamune Oguri, Markus M. Rau, Takashi Hamana | Summary: We present cosmological constraints using the abundance of weak-lensing shear-selected galaxy clusters in the Hyper Suprime-Cam (HSC) Subaru Strategic Program. The clusters are selected on the mass maps constructed using the three-year (Y3) weak-lensing […]


Continue.. Weak-Lensing Shear-Selected Galaxy Clusters from the Hyper Suprime-Cam Subaru Strategic Program: II. Cosmological Constraints from the Cluster Abundance