AstroPT: Scaling Large Observation Models for Astronomy

23 May 2024

Papers citing "AstroPT: Scaling Large Observation Models for Astronomy"

8 / 8 papers shown

Title
Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space Michael J. Smith Luke Fleming James E. Geach Ryan J. Roberts Freddie Kalaitzis James Banister 19 0 0 24 Apr 2025
The Platonic Representation Hypothesis Minyoung Huh Brian Cheung Tongzhou Wang Phillip Isola 72 107 0 13 May 2024
To Repeat or Not To Repeat: Insights from Scaling LLM under Token-Crisis Fuzhao Xue Yao Fu Wangchunshu Zhou Zangwei Zheng Yang You 79 74 0 22 May 2023
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Realistic galaxy image simulation via score-based generative models Michael J. Smith James E. Geach Ryan A. Jackson Nikhil Arora C. Stone Stéphane Courteau DiffM 21 31 0 02 Nov 2021
Scaling Laws for Neural Language Models Jared Kaplan Sam McCandlish T. Henighan Tom B. Brown B. Chess R. Child Scott Gray Alec Radford Jeff Wu Dario Amodei 220 4,424 0 23 Jan 2020
Pixel Recurrent Neural Networks Aaron van den Oord Nal Kalchbrenner Koray Kavukcuoglu SSeg GAN 225 2,542 0 25 Jan 2016
Domain-Adversarial Training of Neural Networks Yaroslav Ganin E. Ustinova Hana Ajakan Pascal Germain Hugo Larochelle François Laviolette M. Marchand Victor Lempitsky GAN OOD 149 9,300 0 28 May 2015