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Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift
  Estimates via Deep Learning

Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning

19 May 2023
H. Qu
M. Sako
ArXivPDFHTML

Papers citing "Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift Estimates via Deep Learning"

6 / 6 papers shown
Title
Maven: A Multimodal Foundation Model for Supernova Science
Maven: A Multimodal Foundation Model for Supernova Science
Gemma Zhang
Thomas Helfer
Alexander Gagliano
S. Mishra-Sharma
V. A. Villar
16
1
0
29 Aug 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted
  Augmentations
Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations
Helen Qu
Sang Michael Xie
20
5
0
08 Jan 2024
MetNet: A Neural Weather Model for Precipitation Forecasting
MetNet: A Neural Weather Model for Precipitation Forecasting
C. Sønderby
L. Espeholt
Jonathan Heek
Mostafa Dehghani
Avital Oliver
Tim Salimans
Shreya Agrawal
Jason Hickey
Nal Kalchbrenner
AI4Cl
231
273
0
24 Mar 2020
Pixel Recurrent Neural Networks
Pixel Recurrent Neural Networks
Aaron van den Oord
Nal Kalchbrenner
Koray Kavukcuoglu
SSeg
GAN
263
2,550
0
25 Jan 2016
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
296
39,217
0
01 Sep 2014
Improving neural networks by preventing co-adaptation of feature
  detectors
Improving neural networks by preventing co-adaptation of feature detectors
Geoffrey E. Hinton
Nitish Srivastava
A. Krizhevsky
Ilya Sutskever
Ruslan Salakhutdinov
VLM
266
7,638
0
03 Jul 2012
1