3 papers
cs.LG2022★ 1 cited
TorchNTK: A Library for Calculation of Neural Tangent Kernels of PyTorch Models
Andrew Engel, Zhichao Wang, Anand D. Sarwate +2
We introduce torchNTK, a python library to calculate the empirical neural tangent kernel (NTK) of neural network models in the PyTorch framework. We provide an efficient method to…
astro-ph.HE2020
The Young Supernova Experiment: Survey Goals, Overview, and Operations
D. O. Jones, R. J. Foley, G. Narayan +68
Time domain science has undergone a revolution over the past decade, with tens of thousands of new supernovae (SNe) discovered each year. However, several observational domains, in…
astro-ph.GA2020
GHOST: Using Only Host Galaxy Information to Accurately Associate and Distinguish Supernovae
Alex Gagliano, Gautham Narayan, Andrew Engel +1
We present GHOST, a database of 16,175 spectroscopically classified supernovae and the properties of their host galaxies. We have developed a host galaxy association method using i…