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Solving stochastic differential equations and Kolmogorov equations by means of deep learning.
Christian Beck
Sebastian Becker
Philipp Grohs
Nor Jaafari
Arnulf Jentzen
Published in:
CoRR (2018)
Keyphrases
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deep learning
stochastic differential equations
maximum a posteriori estimation
unsupervised learning
brownian motion
machine learning
differential equations
additive gaussian noise
weakly supervised
mental models
computer vision
decision making
pairwise
level set
mathematical model
fractional brownian motion