AI Research Associate for Early-Stage Scientific Discovery

AI Research Associate for Early-Stage Scientific Discovery

2 February 2022

Papers citing "AI Research Associate for Early-Stage Scientific Discovery"

11 / 11 papers shown

Title
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 123 123 0 26 Mar 2020
Learning to Simulate Complex Physics with Graph Networks Alvaro Sanchez-Gonzalez Jonathan Godwin Tobias Pfaff Rex Ying J. Leskovec Peter W. Battaglia PINN AI4CE 131 1,088 0 21 Feb 2020
Operationally meaningful representations of physical systems in neural networks Hendrik Poulsen Nautrup Tony Metger Raban Iten Sofiene Jerbi Lea M. Trenkwalder H. Wilming Hans J. Briegel R. Renner AI4CE NAI 51 27 0 02 Jan 2020
Towards Physics-informed Deep Learning for Turbulent Flow Prediction Rui Wang K. Kashinath M. Mustafa A. Albert Rose Yu PINN AI4CE 39 365 0 20 Nov 2019
Physics-Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modeling Arka Daw R. Q. Thomas C. Carey J. Read A. Appling Anuj Karpatne AI4CE 74 117 0 06 Nov 2019
Learning Symbolic Physics with Graph Networks M. Cranmer Rui Xu Peter W. Battaglia S. Ho PINN AI4CE 247 86 0 12 Sep 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 158 872 0 27 May 2019
Differentiable Physics-informed Graph Networks Sungyong Seo Yan Liu PINN AI4CE 69 67 0 08 Feb 2019
Toward an AI Physicist for Unsupervised Learning Tailin Wu Max Tegmark DRL AI4CE SSL OOD 52 69 0 24 Oct 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 51 390 0 26 Jul 2018
A high-bias, low-variance introduction to Machine Learning for physicists Pankaj Mehta Marin Bukov Ching-Hao Wang A. G. Day C. Richardson Charles K. Fisher D. Schwab AI4CE 82 874 0 23 Mar 2018