Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy

7 November 2022

Papers citing "Astronomia ex machina: a history, primer, and outlook on neural networks in astronomy"

31 / 31 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 29 0 0 24 Apr 2025
Constructing sensible baselines for Integrated Gradients Jai Bardhan Cyrin Neeraj Mihir Rawat Subhadip Mitra 74 0 0 18 Dec 2024
AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations Mohammed Talha Alam Raza Imam Mohsen Guizani Fakhri Karray 39 0 0 09 Jul 2024
A review of unsupervised learning in astronomy Sotiria Fotopoulou 40 8 0 25 Jun 2024
AstroPT: Scaling Large Observation Models for Astronomy Michael J. Smith Ryan J. Roberts E. Angeloudi M. Huertas-Company 40 1 0 23 May 2024
Efficient and Flexible Method for Reducing Moderate-size Deep Neural Networks with Condensation Tianyi Chen Zhi-Qin John Xu 29 1 0 02 May 2024
Discovering interpretable models of scientific image data with deep learning Christopher J. Soelistyo Alan R. Lowe 13 6 0 05 Feb 2024
Datacube segmentation via Deep Spectral Clustering A. Bombini Fernando García-Avello Bofías Caterina Bracci Michele Ginolfi Chiara Ruberto 75 1 0 31 Jan 2024
EarthPT: a time series foundation model for Earth Observation Michael J. Smith Luke Fleming James E. Geach AI4TS 22 7 0 13 Sep 2023
Are Large Language Models a Threat to Digital Public Goods? Evidence from Activity on Stack Overflow Maria del Rio-Chanona Nadzeya Laurentsyeva Johannes Wachs ELM 25 32 0 14 Jul 2023
A brief review of contrastive learning applied to astrophysics M. Huertas-Company R. Sarmiento J. Knapen 32 9 0 08 Jun 2023
Generative Agents: Interactive Simulacra of Human Behavior J. Park Joseph C. O'Brien Carrie J. Cai Meredith Ringel Morris Percy Liang Michael S. Bernstein LM&Ro AI4CE 232 1,734 0 07 Apr 2023
Rapid prediction of lab-grown tissue properties using deep learning Allison E. Andrews H. Dickinson J. Hague AI4CE 17 1 0 31 Mar 2023
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 289 3,003 0 22 Mar 2023
Towards Galaxy Foundation Models with Hybrid Contrastive Learning Mike Walmsley I. V. Slijepcevic Micah Bowles A. Scaife VLM 38 15 0 23 Jun 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 355 8,457 0 28 Jan 2022
Denoising Diffusion Restoration Models Bahjat Kawar Michael Elad Stefano Ermon Jiaming Song DiffM 212 778 0 27 Jan 2022
Palette: Image-to-Image Diffusion Models Chitwan Saharia William Chan Huiwen Chang Chris A. Lee Jonathan Ho Tim Salimans David J. Fleet Mohammad Norouzi DiffM VLM 342 1,588 0 10 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 29 32 0 02 Nov 2021
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers Yi Tay Mostafa Dehghani J. Rao W. Fedus Samira Abnar Hyung Won Chung Sharan Narang Dani Yogatama Ashish Vaswani Donald Metzler 200 110 0 22 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision Ilya O. Tolstikhin N. Houlsby Alexander Kolesnikov Lucas Beyer Xiaohua Zhai ... Andreas Steiner Daniel Keysers Jakob Uszkoreit Mario Lucic Alexey Dosovitskiy 271 2,603 0 04 May 2021
Carbon Emissions and Large Neural Network Training David A. Patterson Joseph E. Gonzalez Quoc V. Le Chen Liang Lluís-Miquel Munguía D. Rothchild David R. So Maud Texier J. Dean AI4CE 244 643 0 21 Apr 2021
High-Performance Large-Scale Image Recognition Without Normalization Andrew Brock Soham De Samuel L. Smith Karen Simonyan VLM 223 512 0 11 Feb 2021
Knowledge Distillation in Iterative Generative Models for Improved Sampling Speed Eric Luhman Troy Luhman DiffM 195 258 0 07 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 253 1,986 0 31 Dec 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 267 3,369 0 09 Mar 2020
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 231 4,460 0 23 Jan 2020
Fine-Tuning Language Models from Human Preferences Daniel M. Ziegler Nisan Stiennon Jeff Wu Tom B. Brown Alec Radford Dario Amodei Paul Christiano G. Irving ALM 280 1,587 0 18 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks Tero Karras S. Laine Timo Aila 279 10,348 0 12 Dec 2018
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,447 0 21 Nov 2016
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 39,194 0 01 Sep 2014