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  • [2603. 08635] A Deep Learning Framework for Amplitude Generation of . . .
    One of the main targets for space-borne gravitational wave detectors is the detection of Extreme Mass Ratio Inspirals (EMRIs) The data analysis of EMRIs requires waveform models that are both accurate and fast
  • A Deep Learning Framework for Amplitude Generation of Generic EMRIs
    One of the main targets for space-borne gravitational wave detectors is the detection of Extreme Mass Ratio Inspirals (EMRIs) The data analysis of EMRIs requires waveform models that are both accurate and fast
  • Finding Articles - arXiv info
    All arXiv submissions are assigned a unique identifier of the form yymm nnnnn (or arch-ive yymmnnn for older submissions) To retrieve the abstract page a paper simply enter the identifier in the " Search or Article-id " box in the top right of most pages
  • General Relativity and Quantum Cosmology 2026 - arXiv. org
    General Relativity and Quantum Cosmology Authors and titles for 2026
  • A Deep Learning Framework for Amplitude Generation of Generic EMRIs
    View recent discussion Abstract: One of the main targets for space-borne gravitational wave detectors is the detection of Extreme Mass Ratio Inspirals (EMRIs) The data analysis of EMRIs requires waveform models that are both accurate and fast The major challenge for the fast generation of such waveforms is the generation of the Teukolsky amplitudes for generic (eccentric and inclined) Kerr
  • arXiv. org e-Print archive
    arXiv is a free distribution service and an open-access archive for nearly 2 4 million scholarly articles in the fields of physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering and systems science, and economics Materials on this site are not peer-reviewed by arXiv
  • Astrophysics Mar 2026 - arXiv. org
    Astrophysics Authors and titles for March 2026 [1601] arXiv:2603 05598 (cross-list from cs LG) [pdf, html, other]
  • Mathematics - arXiv. org
    math MP is an alias for math-ph Articles in this category focus on areas of research that illustrate the application of mathematics to problems in physics, develop mathematical methods for such applications, or provide mathematically rigorous formulations of existing physical theories
  • RESTORING DEGRADED DIGITAL IMAGES THROUGH A DEEP LEARNING FRAMEWORK
    The present disclosure relates to systems, methods, and non-transitory computer readable media for accurately, efficiently, and flexibly restoring degraded digital images utilizing a deep learning framework for repairing local defects, correcting global imperfections, and or enhancing depicted faces In particular, the disclosed systems can utilize a defect detection neural network to generate
  • [1606. 08635] Strong decays of the $X (2500)$ newly observed by the . . .
    Basing on the observation of a new $J^ {PC}=0^ {-+}$ state, $X (2500)$, in the partial wave analysis of the decay $J ψ\rightarrowγX\rightarrow γϕϕ$ performed by the BESIII





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