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Photo-zSNthesis: Converting Type Ia Supernova Lightcurves to Redshift
  Estimates via Deep Learning
v1v2 (latest)

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

Astrophysical Journal (ApJ), 2023
19 May 2023
H. Qu
M. Sako
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Simulation-Based Pretraining and Domain Adaptation for Astronomical Time Series with Minimal Labeled Data
Simulation-Based Pretraining and Domain Adaptation for Astronomical Time Series with Minimal Labeled Data
Rithwik Gupta
D. Muthukrishna
Jeroen Audenaert
AI4TS
99
0
0
14 Oct 2025
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
172
17
0
29 Aug 2024
Connect Later: Improving Fine-tuning for Robustness with Targeted
  Augmentations
Connect Later: Improving Fine-tuning for Robustness with Targeted AugmentationsInternational Conference on Machine Learning (ICML), 2024
Helen Qu
Sang Michael Xie
276
5
0
08 Jan 2024
1
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