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Found 6 papers, 3 papers with code
Low-rank combinatorial optimization and statistical learning by spatial photonic Ising machine
122, 213902 (2019)] is a promising optical architecture utilizing spatial light modulation for solving large-scale combinatorial optimization problems efficiently.
Entropic Herding
Using the proposed entropic herding algorithm as a framework, we discuss a closer connection between herding and the maximum entropy principle.
Extended dynamic mode decomposition with dictionary learning using neural ordinary differential equations
Data-driven method called the extended dynamic mode decomposition (EDMD) and its variants, which approximate the Koopman operator associated with the nonlinear phenomena, have been rapidly developing by incorporating machine learning methods.
Hypergraph $p$-Laplacian: A Differential Geometry View
The proposed $p$-Laplacian is shown to outperform standard hypergraph Laplacians in the experiment on a hypergraph semi-supervised learning and normalized cut setting.
Spectrum of the Supernova Relic Neutrino Background and Metallicity Evolution of Galaxies
Using this model, the dependences of SRNs on the cosmic star formation rate density, shock revival time and equation of state are investigated.
High Energy Astrophysical Phenomena Cosmology and Nongalactic Astrophysics Astrophysics of Galaxies High Energy Physics - Phenomenology
Supernova Neutrino Light Curves and Spectra for Various Progenitor Stars: From Core Collapse to Proto-neutron Star Cooling
To follow the evolution from the onset of collapse to 20 s after the core bounce, we combine the results of neutrino-radiation hydrodynamic simulations for the early phase and quasi-static evolutionary calculations of neutrino diffusion for the late phase, with different values of shock revival time as a parameter that should depend on the still unknown explosion mechanism.
High Energy Astrophysical Phenomena Solar and Stellar Astrophysics High Energy Physics - Phenomenology
