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SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred
  from Vision

SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision

10 November 2021
I. Higgins
Peter Wirnsberger
Andrew Jaegle
Aleksandar Botev
ArXivPDFHTML

Papers citing "SyMetric: Measuring the Quality of Learnt Hamiltonian Dynamics Inferred from Vision"

7 / 7 papers shown
Title
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify
  Framework
Unsupervised Learning of Hybrid Latent Dynamics: A Learn-to-Identify Framework
Yubo Ye
Sumeet Vadhavkar
Xiajun Jiang
R. Missel
Huafeng Liu
Linwei Wang
31
0
0
13 Mar 2024
Hamiltonian GAN
Hamiltonian GAN
Christine Allen-Blanchette
GAN
AI4CE
25
1
0
22 Aug 2023
Policy Gradient Methods in the Presence of Symmetries and State
  Abstractions
Policy Gradient Methods in the Presence of Symmetries and State Abstractions
Prakash Panangaden
S. Rezaei-Shoshtari
Rosie Zhao
D. Meger
Doina Precup
25
2
0
09 May 2023
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
Continuous MDP Homomorphisms and Homomorphic Policy Gradient
S. Rezaei-Shoshtari
Rosie Zhao
Prakash Panangaden
D. Meger
Doina Precup
31
18
0
15 Sep 2022
Symmetry-Based Representations for Artificial and Biological General
  Intelligence
Symmetry-Based Representations for Artificial and Biological General Intelligence
I. Higgins
S. Racanière
Danilo Jimenez Rezende
AI4CE
24
44
0
17 Mar 2022
Lagrangian Neural Networks
Lagrangian Neural Networks
M. Cranmer
S. Greydanus
Stephan Hoyer
Peter W. Battaglia
D. Spergel
S. Ho
PINN
130
422
0
10 Mar 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
219
0
29 Sep 2019
1