ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1912.00656
  4. Cited By
Rodent: Relevance determination in differential equations
v1v2 (latest)

Rodent: Relevance determination in differential equations

2 December 2019
Niklas Heim
Václav vSmídl
Tomávs Pevný
ArXiv (abs)PDFHTML

Papers citing "Rodent: Relevance determination in differential equations"

5 / 5 papers shown
Title
Hamiltonian Neural Networks
Hamiltonian Neural Networks
S. Greydanus
Misko Dzamba
J. Yosinski
PINNAI4CE
133
899
0
04 Jun 2019
Discovering physical concepts with neural networks
Discovering physical concepts with neural networks
Raban Iten
Tony Metger
H. Wilming
L. D. Rio
R. Renner
PINNAI4CE
101
391
0
26 Jul 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
457
5,176
0
19 Jun 2018
Physics Informed Deep Learning (Part II): Data-driven Discovery of
  Nonlinear Partial Differential Equations
Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations
M. Raissi
P. Perdikaris
George Karniadakis
PINNAI4CE
96
615
0
28 Nov 2017
Bayesian Compression for Deep Learning
Bayesian Compression for Deep Learning
Christos Louizos
Karen Ullrich
Max Welling
UQCVBDL
197
481
0
24 May 2017
1