Priors on red galaxy stochasticity from hybrid effective field theory

Posted by klaurent Stanford

Kavli Affiliate: Risa H. Wechsler | First 5 Authors: Nickolas Kokron, Joseph DeRose, Shi-Fan Chen, Martin White, Risa H. Wechsler | Summary: We investigate the stochastic properties of typical red galaxy samples in a controlled numerical environment. We use Halo Occupation Distribution (HOD) modelling to create mock realizations of three separate bright red galaxy samples […]


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AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop

Posted by klaurent Peking

Kavli Affiliate: Jing Wang | First 5 Authors: Yunfei Teng, Jing Wang, Anna Choromanska, , | Summary: Modern deep learning (DL) architectures are trained using variants of the SGD algorithm that is run with a $textit{manually}$ defined learning rate schedule, i.e., the learning rate is dropped at the pre-defined epochs, typically when the training loss […]


Continue.. AutoDrop: Training Deep Learning Models with Automatic Learning Rate Drop