Kavli Affiliate: Jia Liu | First 5 Authors: Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao | Summary: Implicit deep learning has received increasing attention recently due to the fact that it generalizes the recursive prediction rules of many commonly used neural network architectures. Its prediction rule is provided implicitly based on the […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Marko Zeman, Theodoros Tsiligkaridis, Marinka Zitnik, | Summary: In many domains, including healthcare, biology, and climate science, time series are irregularly sampled with varying time intervals between successive readouts and different subsets of variables (sensors) observed at different time points. Here, we introduce RAINDROP, a […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, , , , | Summary: Inferring the underlying graph topology that characterizes structured data is pivotal to many graph-based models when pre-defined graphs are not available. This paper focuses on learning graphs in the case of sequential data in dynamic environments. For sequential data, we […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Qiao Wang, , , | Summary: This paper endeavors to learn time-varying graphs by using structured temporal priors that assume underlying relations between arbitrary two graphs in the graph sequence. Different from many existing chain structure based methods in which the priors like temporal homogeneity […]
Kavli Affiliate: Wendy L. Freedman | First 5 Authors: Abigail J. Lee, Wendy L. Freedman, Barry F. Madore, Kayla A. Owens, In Sung Jang | Summary: The recently-developed J-region Asymptotic Giant Branch (JAGB) method has extraordinary potential as an extragalactic standard candle, capable of calibrating the absolute magnitudes of locally-accessible Type Ia supernovae, thereby leading […]
Kavli Affiliate: Mark Vogelsberger | First 5 Authors: Yetli Rosas-Guevara, Silvia Bonoli, Massimo Dotti, David Izquierdo-Villalba, Alessandro Lupi | Summary: We use the magnetic-hydrodynamical simulation TNG50 to study the evolution of barred massive disc galaxies. Massive spiral galaxies are already present as early as $z=4$, and bar formation takes place already at those early times. […]
Kavli Affiliate: Feng Yuan | First 5 Authors: Daniele Paolo Anderle, Xin Dong, Felix Hekhorn, Matthew Kelsey, Sooraj Radhakrishnan | Summary: We propose a new measurement of the heavy flavor hadron double spin asymmetry in deep-inelastic scattering at a future Electron-Ion Collider (EIC) to constrain the polarized gluon distribution function inside the proton. Statistical projection […]
Kavli Affiliate: Ke Wang | First 5 Authors: Ke Wang, T. A. Sedrakyan, , , | Summary: We report that a perpendicular magnetic field introduces an anomalous interaction correction, $delta sigma$, to the static conductivity of doped graphene in the ballistic regime. The correction implies that the magnetoresistance, $delta rho_{xx}$ scales inversely with temperature $delta […]
Kavli Affiliate: Lindsey Bleem | First 5 Authors: Eve Kovacs, Yao-Yuan Mao, Michel Aguena, Anita Bahmanyar, Adam Broussard | Summary: Large simulation efforts are required to provide synthetic galaxy catalogs for ongoing and upcoming cosmology surveys. These extragalactic catalogs are being used for many diverse purposes covering a wide range of scientific topics. In order […]
Kavli Affiliate: Archana Raja| Summary:Individual atomic defects in 2D materials impact their macroscopic functionality. Correlating the interplay is challenging, however, intelligent hyperspectral scanning tunneling spectroscopy (STS) mapping provides a feasible solution to this technically difficult and time consuming problem. Here, dense spectroscopic volume is collected autonomously via Gaussian process regression, where convolutional neural networks are […]