Differentiable Particle Filtering without Modifying the Forward Pass

18 June 2021

Papers citing "Differentiable Particle Filtering without Modifying the Forward Pass"

14 / 14 papers shown

Title
Learning to be Smooth: An End-to-End Differentiable Particle Smoother Ali Younis Erik B. Sudderth AI4TS 46 0 0 14 Feb 2025
GraphGrad: Efficient Estimation of Sparse Polynomial Representations for General State-Space Models Benjamin Cox Émilie Chouzenoux Victor Elvira 76 0 0 23 Nov 2024
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 73 0 0 23 Nov 2024
Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation Itai Nuri Nir Shlezinger 26 0 0 21 Aug 2024
Enhanced SMC $^2$ : Leveraging Gradient Information from Differentiable Particle Filters Within Langevin Proposals Conor Rosato Joshua Murphy Alessandro Varsi P. Horridge Simon Maskell 37 4 0 24 Jul 2024
Differentiable and Stable Long-Range Tracking of Multiple Posterior Modes Ali Younis Erik B. Sudderth 28 4 0 12 Apr 2024
Sequential Monte Carlo for Inclusive KL Minimization in Amortized Variational Inference Declan McNamara J. Loper Jeffrey Regier BDL 31 1 0 15 Mar 2024
Differentiable Particle Filtering using Optimal Placement Resampling Domonkos Csuzdi Olivér Törő Tamás Bécsi 26 0 0 26 Feb 2024
Particle-Based Score Estimation for State Space Model Learning in Autonomous Driving Angad Singh Omar Makhlouf Maximilian Igl Joao Messias Arnaud Doucet Shimon Whiteson 47 2 0 14 Dec 2022
ADEV: Sound Automatic Differentiation of Expected Values of Probabilistic Programs Alexander K. Lew Mathieu Huot S. Staton Vikash K. Mansinghka 14 20 0 13 Dec 2022
Automatic Differentiation of Programs with Discrete Randomness Gaurav Arya Moritz Schauer Frank Schafer Chris Rackauckas 23 34 0 16 Oct 2022
Efficient Learning of the Parameters of Non-Linear Models using Differentiable Resampling in Particle Filters Conor Rosato Vincent Beraud P. Horridge Thomas B. Schon Simon Maskell 18 14 0 02 Nov 2021
Variational Marginal Particle Filters Jinlin Lai Justin Domke Daniel Sheldon 33 9 0 30 Sep 2021
Stochastic Backpropagation through Mixture Density Distributions Alex Graves BDL 51 44 0 19 Jul 2016