output
20192025
most citedEstimating Planetary Mass with Deep Learning

8 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

5 papers

math.AP2025★ 1 cited

Sharp decay estimates and numerical analysis for weakly coupled systems of two subdiffusion equations

Zhiyuan Li, Yikan Liu, Kazuma Wada

This paper investigates the initial-boundary value problem for weakly coupled systems of time-fractional subdiffusion equations with spatially and temporally varying coupling coeff…

cs.CL2024★ 1 cited

Development of a Large-scale Dataset of Chest Computed Tomography Reports in Japanese and a High-performance Finding Classification Model

Yosuke Yamagishi, Yuta Nakamura, Tomohiro Kikuchi +7

Background: Recent advances in large language models highlight the need for high-quality multilingual medical datasets. While Japan leads globally in CT scanner deployment and util…

math.GT2022★ 3 cited

A Hilbert reciprocity law on 3-manifolds

Hirofumi Niibo, Jun Ueki

Based on our homological idelic class field theory, we formulate an analogue of the Hilbert reciprocity law on a rational homology 3-sphere endowed with an infinite link, in the sp…

astro-ph.HE2021★ 1 cited

Extracting common signal components from the X-ray and optical light curves of GX 339-4: new view for anti-correlation

Tomoki Omama, Makoto Uemura, Shiro Ikeda +1

Simultaneous X-ray and optical observations of black hole X-ray binaries have shown that the light curves contain multiple correlated and anti-correlated variation components when…

astro-ph.EP2019★ 8 cited

Estimating Planetary Mass with Deep Learning

Elizabeth J. Tasker, Matthieu Laneuville, Nicholas Guttenberg

While thousands of exoplanets have been confirmed, the known properties about individual discoveries remain sparse and depend on detection technique. To utilize more than a small s…