Unsupervised Learning of Sampling Distributions for Particle Filters

Unsupervised Learning of Sampling Distributions for Particle Filters

2 February 2023

Nicolas Zilberstein

Martín Sevilla

Richard Baraniuk

Santiago Segarra

Papers citing "Unsupervised Learning of Sampling Distributions for Particle Filters"

17 / 17 papers shown

Title
Learning state and proposal dynamics in state-space models using differentiable particle filters and neural networks Benjamin Cox Santiago Segarra Victor Elvira 119 0 0 23 Nov 2024
Differentiable Particle Filters through Conditional Normalizing Flow Xiongjie Chen Hao Wen Yunpeng Li 38 20 0 01 Jul 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 69 68 0 15 Feb 2021
Optimized Auxiliary Particle Filters: adapting mixture proposals via convex optimization Nicola Branchini Victor Elvira 56 19 0 18 Nov 2020
Graph Neural Networks: Architectures, Stability and Transferability Luana Ruiz Fernando Gama Alejandro Ribeiro GNN 113 127 0 04 Aug 2020
Graphs, Convolutions, and Neural Networks: From Graph Filters to Graph Neural Networks Fernando Gama Elvin Isufi G. Leus Alejandro Ribeiro GNN 86 155 0 08 Mar 2020
EdgeNets:Edge Varying Graph Neural Networks Elvin Isufi Fernando Gama Alejandro Ribeiro GNN 60 81 0 21 Jan 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,021 0 22 Dec 2019
Normalizing Flows for Probabilistic Modeling and Inference George Papamakarios Eric T. Nalisnick Danilo Jimenez Rezende S. Mohamed Balaji Lakshminarayanan TPM AI4CE 202 1,691 0 05 Dec 2019
Particle Filter Recurrent Neural Networks Xiao Ma Peter Karkus David Hsu Wee Sun Lee 53 83 0 30 May 2019
Stability Properties of Graph Neural Networks Fernando Gama Joan Bruna Alejandro Ribeiro 65 232 0 11 May 2019
Rethinking the Effective Sample Size Victor Elvira Luca Martino Christian P. Robert 40 71 0 11 Sep 2018
Convolutional Neural Network Architectures for Signals Supported on Graphs Fernando Gama A. Marques G. Leus Alejandro Ribeiro 179 287 0 01 May 2018
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 805 3,281 0 24 Nov 2016
Gated Feedback Recurrent Neural Networks Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 72 829 0 09 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
The Emerging Field of Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Domains D. Shuman S. K. Narang P. Frossard Antonio Ortega P. Vandergheynst 126 3,972 0 31 Oct 2012