most citedDon't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer

2 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

astro-ph.IM2022★ 2 cited

Don't Pay Attention to the Noise: Learning Self-supervised Representations of Light Curves with a Denoising Time Series Transformer

Mario Morvan, Nikolaos Nikolaou, Kai Hou Yip +1

Astrophysical light curves are particularly challenging data objects due to the intensity and variety of noise contaminating them. Yet, despite the astronomical volumes of light cu…

astro-ph.EP2022★ 2 cited

ESA-Ariel Data Challenge NeurIPS 2022: Inferring Physical Properties of Exoplanets From Next-Generation Telescopes

Kai Hou Yip, Ingo P. Waldmann, Quentin Changeat +11

The study of extra-solar planets, or simply, exoplanets, planets outside our own Solar System, is fundamentally a grand quest to understand our place in the Universe. Discoveries i…