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1805.09406
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Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers
23 May 2018
Marcel Hirt
P. Dellaportas
BDL
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Papers citing
"Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers"
2 / 2 papers shown
Title
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
41
66
0
15 Feb 2021
The Neural Moving Average Model for Scalable Variational Inference of State Space Models
Tom Ryder
D. Prangle
Andrew Golightly
Isaac Matthews
BDL
AI4TS
16
6
0
02 Oct 2019
1