Nonconvex optimization is a central research topic in machine learning, mainly because the loss functions in many machine learning models (including neural networks) are typically nonconvex. However, ...
Structures such as gaps and rings in ALMA observations of protoplanetary disks have long been hailed as signposts of planet formation. However, a direct link between exoplanets and protoplanetary disk...
In this talk, the speaker will show the fast radio burst (FRB) searching efforts with Chinese radio telescopes, including Xinjiang 26m, Yunnan 40m, Luonan 40m, and FAST 500m telescopes. they will disc...
Time-domain astrophysics is being revolutionised by the advent of the multi-wavelength and multi-messenger era. The Einstein Probe (EP) is a space mission designed to discover and characterise high-en...
We evaluate the ability of Convolutional Neural Networks (CNNs) to predict galaxy cluster masses in the BAHAMAS hydrodynamical simulations. We train four separate single-channel networks using: stella...