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Learning non-stationary Langevin dynamics from stochastic observations
  of latent trajectories

Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories

29 December 2020
M. Genkin
Owen K. Hughes
Tatiana A. Engel
ArXivPDFHTML

Papers citing "Learning non-stationary Langevin dynamics from stochastic observations of latent trajectories"

3 / 3 papers shown
Title
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
Modeling Latent Neural Dynamics with Gaussian Process Switching Linear Dynamical Systems
Amber Hu
D. Zoltowski
Aditya Nair
David Anderson
Lea Duncker
Scott W. Linderman
36
3
0
19 Jul 2024
Graph Neural Stochastic Differential Equations for Learning Brownian
  Dynamics
Graph Neural Stochastic Differential Equations for Learning Brownian Dynamics
S. Bishnoi
J. Jayadeva
Sayan Ranu
N. M. A. Krishnan
24
3
0
20 Jun 2023
Discovering Causal Relations and Equations from Data
Discovering Causal Relations and Equations from Data
Gustau Camps-Valls
Andreas Gerhardus
Urmi Ninad
Gherardo Varando
Georg Martius
E. Balaguer-Ballester
Ricardo Vinuesa
Emiliano Díaz
L. Zanna
Jakob Runge
PINN
AI4Cl
AI4CE
CML
35
72
0
21 May 2023
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