Operationally meaningful representations of physical systems in neural networks

2 January 2020

Papers citing "Operationally meaningful representations of physical systems in neural networks"

7 / 7 papers shown

Title
Closed-Form Interpretation of Neural Network Latent Spaces with Symbolic Gradients Zakaria Patel S. J. Wetzel 25 2 0 09 Sep 2024
Compressed Hierarchical Representations for Multi-Task Learning and Task Clustering João Machado de Freitas Sebastian Berg Bernhard C. Geiger Manfred Mücke 18 1 0 31 May 2022
Learning Physical Concepts in Cyber-Physical Systems: A Case Study Henrik S. Steude Alexander Windmann Oliver Niggemann AI4CE 10 1 0 28 Nov 2021
Deep learning insights into cosmological structure formation Luisa Lucie-Smith H. Peiris A. Pontzen Brian D. Nord Jeyan Thiyagalingam 24 6 0 20 Nov 2020
Computer-inspired Quantum Experiments Mario Krenn Manuel Erhard A. Zeilinger 27 73 0 23 Feb 2020
Learning models of quantum systems from experiments Antonio A. Gentile Brian Flynn S. Knauer N. Wiebe S. Paesani C. Granade J. Rarity R. Santagati A. Laing 16 57 0 14 Feb 2020
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 283 1,401 0 01 Dec 2016