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Controlled Sequential Monte Carlo

Controlled Sequential Monte Carlo

28 August 2017
J. Heng
A. Bishop
George Deligiannidis
Arnaud Doucet
ArXivPDFHTML

Papers citing "Controlled Sequential Monte Carlo"

11 / 11 papers shown
Title
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
Byoungwoo Park
Hyungi Lee
Juho Lee
AI4TS
41
0
0
08 Oct 2024
Nonlinear System Identification: Learning while respecting physical
  models using a sequential Monte Carlo method
Nonlinear System Identification: Learning while respecting physical models using a sequential Monte Carlo method
A. Wigren
Johan Wågberg
Fredrik Lindsten
A. Wills
Thomas B. Schon
24
10
0
26 Oct 2022
Score-Based Diffusion meets Annealed Importance Sampling
Score-Based Diffusion meets Annealed Importance Sampling
Arnaud Doucet
Will Grathwohl
A. G. Matthews
Heiko Strathmann
DiffM
41
43
0
16 Aug 2022
SIXO: Smoothing Inference with Twisted Objectives
SIXO: Smoothing Inference with Twisted Objectives
Dieterich Lawson
Allan Raventós
Andrew Warrington
Scott W. Linderman
BDL
13
15
0
13 Jun 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother
Adrien Corenflos
Nicolas Chopin
Simo Särkkä
24
6
0
04 Feb 2022
Ensemble Kalman filter based Sequential Monte Carlo Sampler for
  sequential Bayesian inference
Ensemble Kalman filter based Sequential Monte Carlo Sampler for sequential Bayesian inference
Jiangqi Wu
Linjie Wen
P. L. Green
Jinglai Li
Simon Maskell
BDL
28
5
0
16 Dec 2020
An invitation to sequential Monte Carlo samplers
An invitation to sequential Monte Carlo samplers
Chenguang Dai
J. Heng
Pierre E. Jacob
N. Whiteley
52
65
0
23 Jul 2020
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural
  networks: perspectives from the theory of controlled diffusions and measures
  on path space
Solving high-dimensional Hamilton-Jacobi-Bellman PDEs using neural networks: perspectives from the theory of controlled diffusions and measures on path space
Nikolas Nusken
Lorenz Richter
AI4CE
19
103
0
11 May 2020
Markovian Score Climbing: Variational Inference with KL(p||q)
Markovian Score Climbing: Variational Inference with KL(p||q)
C. A. Naesseth
Fredrik Lindsten
David M. Blei
121
54
0
23 Mar 2020
Replica Conditional Sequential Monte Carlo
Replica Conditional Sequential Monte Carlo
Alexander Y. Shestopaloff
Arnaud Doucet
26
3
0
13 May 2019
Clustering Time Series with Nonlinear Dynamics: A Bayesian
  Non-Parametric and Particle-Based Approach
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach
Alexander Lin
Yingzhuo Zhang
J. Heng
Stephen A. Allsop
K. Tye
Pierre E. Jacob
Demba E. Ba
AI4TS
16
13
0
23 Oct 2018
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