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MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse
  Data via Manifold-constrained Gaussian Processes

MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes

11 March 2022
Samuel W. K. Wong
Shihao Yang
S. C. Kou
    AI4CE
    SyDa
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Papers citing "MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes"

3 / 3 papers shown
Title
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary
  Differential Equations
Data-Adaptive Probabilistic Likelihood Approximation for Ordinary Differential Equations
Mohan Wu
Martin Lysy
44
4
0
08 Jun 2023
Learning effective stochastic differential equations from microscopic
  simulations: linking stochastic numerics to deep learning
Learning effective stochastic differential equations from microscopic simulations: linking stochastic numerics to deep learning
Felix Dietrich
Alexei Makeev
George A. Kevrekidis
N. Evangelou
Tom S. Bertalan
Sebastian Reich
Ioannis G. Kevrekidis
DiffM
29
37
0
10 Jun 2021
MCMC using Hamiltonian dynamics
MCMC using Hamiltonian dynamics
Radford M. Neal
185
3,266
0
09 Jun 2012
1