Toward Building Science Discovery Machines

24 March 2021

Papers citing "Toward Building Science Discovery Machines"

16 / 16 papers shown

Title
Abstraction and Analogy-Making in Artificial Intelligence Melanie Mitchell 67 166 0 22 Feb 2021
AI Feynman 2.0: Pareto-optimal symbolic regression exploiting graph modularity S. Udrescu A. Tan Jiahai Feng Orisvaldo Neto Tailin Wu Max Tegmark 65 191 0 18 Jun 2020
Explainable Artificial Intelligence: a Systematic Review Giulia Vilone Luca Longo XAI 64 271 0 29 May 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 201 2,048 0 16 Apr 2020
Autonomous discovery in the chemical sciences part II: Outlook Connor W. Coley Natalie S. Eyke K. Jensen 61 172 0 30 Mar 2020
A Survey of Deep Learning for Scientific Discovery M. Raghu Erica Schmidt OOD AI4CE 129 123 0 26 Mar 2020
Learning Perceptual Inference by Contrasting Chi Zhang Baoxiong Jia Feng Gao Yixin Zhu Hongjing Lu Song-Chun Zhu LRM 62 109 0 29 Nov 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot Siham Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 116 6,266 0 22 Oct 2019
AI Feynman: a Physics-Inspired Method for Symbolic Regression S. Udrescu Max Tegmark 158 873 0 27 May 2019
Explainable Machine Learning for Scientific Insights and Discoveries R. Roscher B. Bohn Marco F. Duarte Jochen Garcke XAI 73 669 0 21 May 2019
Analysing Mathematical Reasoning Abilities of Neural Models D. Saxton Edward Grefenstette Felix Hill Pushmeet Kohli LRM 180 428 0 02 Apr 2019
Exploring galaxy evolution with generative models Kevin Schawinski M. D. Turp Ce Zhang GAN 28 20 0 03 Dec 2018
Discovering physical concepts with neural networks Raban Iten Tony Metger H. Wilming L. D. Rio R. Renner PINN AI4CE 53 390 0 26 Jul 2018
Unsupervised Learning of Latent Physical Properties Using Perception-Prediction Networks David Zheng V. Luo Jiajun Wu J. Tenenbaum SSL DRL AI4CE 52 54 0 24 Jul 2018
Deep Learning: A Critical Appraisal G. Marcus HAI VLM 122 1,040 0 02 Jan 2018
Scalable Training of Artificial Neural Networks with Adaptive Sparse Connectivity inspired by Network Science Decebal Constantin Mocanu Elena Mocanu Peter Stone Phuong H. Nguyen M. Gibescu A. Liotta 172 631 0 15 Jul 2017