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Neural Canonical Transformation with Symplectic Flows

Neural Canonical Transformation with Symplectic Flows

30 September 2019
Shuo-Hui Li
Chen Dong
Linfeng Zhang
Lei Wang
    DRL
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Papers citing "Neural Canonical Transformation with Symplectic Flows"

8 / 8 papers shown
Title
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Deconstructing the Inductive Biases of Hamiltonian Neural Networks
Nate Gruver
Marc Finzi
Samuel Stanton
A. Wilson
AI4CE
15
39
0
10 Feb 2022
E(n) Equivariant Normalizing Flows
E(n) Equivariant Normalizing Flows
Victor Garcia Satorras
Emiel Hoogeboom
F. Fuchs
Ingmar Posner
Max Welling
BDL
34
168
0
19 May 2021
Sampling using $SU(N)$ gauge equivariant flows
Sampling using SU(N)SU(N)SU(N) gauge equivariant flows
D. Boyda
G. Kanwar
S. Racanière
Danilo Jimenez Rezende
M. S. Albergo
Kyle Cranmer
D. Hackett
P. Shanahan
25
127
0
12 Aug 2020
Differentiable Molecular Simulations for Control and Learning
Differentiable Molecular Simulations for Control and Learning
Wujie Wang
Simon Axelrod
Rafael Gómez-Bombarelli
AI4CE
103
49
0
27 Feb 2020
Symplectic Recurrent Neural Networks
Symplectic Recurrent Neural Networks
Zhengdao Chen
Jianyu Zhang
Martín Arjovsky
Léon Bottou
146
220
0
29 Sep 2019
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
Tero Karras
S. Laine
Timo Aila
279
10,354
0
12 Dec 2018
Spectral Inference Networks: Unifying Deep and Spectral Learning
Spectral Inference Networks: Unifying Deep and Spectral Learning
David Pfau
Stig Petersen
Ashish Agarwal
David Barrett
Kimberly L. Stachenfeld
51
40
0
06 Jun 2018
Time-lagged autoencoders: Deep learning of slow collective variables for
  molecular kinetics
Time-lagged autoencoders: Deep learning of slow collective variables for molecular kinetics
C. Wehmeyer
Frank Noé
AI4CE
BDL
109
355
0
30 Oct 2017
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