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Newton vs the machine: solving the chaotic three-body problem using deep
  neural networks

Newton vs the machine: solving the chaotic three-body problem using deep neural networks

16 October 2019
Philip G. Breen
Christopher N. Foley
Tjarda Boekholt
Simon Portegies Zwart
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Newton vs the machine: solving the chaotic three-body problem using deep neural networks"

4 / 4 papers shown
Title
Enforcing constraints for time series prediction in supervised,
  unsupervised and reinforcement learning
Enforcing constraints for time series prediction in supervised, unsupervised and reinforcement learning
P. Stinis
AI4TSAI4CE
55
11
0
17 May 2019
Interaction Networks for Learning about Objects, Relations and Physics
Interaction Networks for Learning about Objects, Relations and Physics
Peter W. Battaglia
Razvan Pascanu
Matthew Lai
Danilo Jimenez Rezende
Koray Kavukcuoglu
AI4CEOCLPINNGNN
543
1,410
0
01 Dec 2016
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed
  Systems
TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Martín Abadi
Ashish Agarwal
P. Barham
E. Brevdo
Zhiwen Chen
...
Pete Warden
Martin Wattenberg
Martin Wicke
Yuan Yu
Xiaoqiang Zheng
276
11,151
0
14 Mar 2016
Probabilistic Numerics and Uncertainty in Computations
Probabilistic Numerics and Uncertainty in Computations
Philipp Hennig
Michael A. Osborne
Mark Girolami
68
307
0
03 Jun 2015
1