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Using Differentiable Programming for Flexible Statistical Modeling
v1v2 (latest)

Using Differentiable Programming for Flexible Statistical Modeling

7 December 2020
Maren Hackenberg
M. Grodd
Clemens Kreutz
Martina Fischer
J. Esins
L. Grabenhenrich
C. Karagiannidis
Harald Binder
ArXiv (abs)PDFHTML

Papers citing "Using Differentiable Programming for Flexible Statistical Modeling"

2 / 2 papers shown
A statistical approach to latent dynamic modeling with differential equations
A statistical approach to latent dynamic modeling with differential equationsAmerican Statistician (Am. Stat.), 2023
Maren Hackenberg
Astrid Pechmann
Clemens Kreutz
Janbernd Kirschner
Harald Binder
307
2
0
27 Nov 2023
Deep learning and differential equations for modeling changes in
  individual-level latent dynamics between observation periods
Deep learning and differential equations for modeling changes in individual-level latent dynamics between observation periods
G. Köber
R. Kalisch
Lara Puhlmann
A. Chmitorz
Anita Schick
Harald Binder
211
3
0
15 Feb 2022
1
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