Neural Adaptive Sequential Monte Carlo

10 June 2015

Papers citing "Neural Adaptive Sequential Monte Carlo"

36 / 36 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 81 0 0 23 Nov 2024
Comparative Study of Coupling and Autoregressive Flows through Robust Statistical Tests A. Coccaro Marco Letizia H. Reyes-González Riccardo Torre OOD 40 5 0 23 Feb 2023
Recurrent Neural Networks and Universal Approximation of Bayesian Filters A. Bishop Edwin V. Bonilla BDL 29 3 0 01 Nov 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 30 9 0 17 Oct 2022
Optimization of Annealed Importance Sampling Hyperparameters Shirin Goshtasbpour Fernando Perez-Cruz 27 1 0 27 Sep 2022
SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson Allan Raventós Andrew Warrington Scott W. Linderman BDL 15 15 0 13 Jun 2022
Parallel Tempering With a Variational Reference Nikola Surjanovic Saifuddin Syed Alexandre Bouchard-Coté Trevor Campbell 31 11 0 31 May 2022
Critic Sequential Monte Carlo Vasileios Lioutas J. Lavington Justice Sefas Matthew Niedoba Yunpeng Liu Berend Zwartsenberg Setareh Dabiri Frank Wood Adam Scibior 50 7 0 30 May 2022
Transport Score Climbing: Variational Inference Using Forward KL and Adaptive Neural Transport Liyi Zhang David M. Blei C. A. Naesseth 30 6 0 03 Feb 2022
Low-Rank Constraints for Fast Inference in Structured Models Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 32 13 0 08 Jan 2022
Learning to Assimilate in Chaotic Dynamical Systems Michael McCabe Jed Brown AI4TS 36 10 0 01 Nov 2021
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling Xin Huang Guy Rosman Igor Gilitschenski A. Jasour Stephen G. McGill J. Leonard B. Williams 26 26 0 05 Oct 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech Spectrogram Modeling Xiaoyu Bie Laurent Girin Simon Leglaive Thomas Hueber Xavier Alameda-Pineda 26 12 0 11 Jun 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark J. Coates BDL AI4TS 33 22 0 10 Jun 2021
Sequence Generation using Deep Recurrent Networks and Embeddings: A study case in music Sebastian Garcia-Valencia Alejandro Betancourt Juan Guillermo Lalinde Pulido MGen 31 6 0 02 Dec 2020
Variational Filtering with Copula Models for SLAM John D. Martin Kevin Doherty Caralyn Cyr Brendan Englot J. Leonard 27 3 0 02 Aug 2020
Markovian Score Climbing: Variational Inference with KL(p\|\|q) C. A. Naesseth Fredrik Lindsten David M. Blei 123 54 0 23 Mar 2020
Targeted free energy estimation via learned mappings Peter Wirnsberger A. J. Ballard George Papamakarios Stuart Abercrombie S. Racanière Alexander Pritzel Danilo Jimenez Rezende Charles Blundell 27 86 0 12 Feb 2020
Streaming Variational Monte Carlo Yuan Zhao Josue Nassar I. Jordan M. Bugallo Il Memming Park BDL 34 21 0 04 Jun 2019
Latent Normalizing Flows for Discrete Sequences Zachary M. Ziegler Alexander M. Rush BDL DRL 24 122 0 29 Jan 2019
Bounded Rational Decision-Making with Adaptive Neural Network Priors Heinke Hihn Sebastian Gottwald Daniel A. Braun 26 10 0 04 Sep 2018
A comparative study of artificial intelligence and human doctors for the purpose of triage and diagnosis S. Razzaki Adam Baker Yura N. Perov Katherine Middleton J. Baxter ... Mobasher Butt A. Majeed Arnold DoRosario Megan Mahoney Saurabh Johri 18 87 0 27 Jun 2018
Inference Trees: Adaptive Inference with Exploration Tom Rainforth Yuanshuo Zhou Xiaoyu Lu Yee Whye Teh Frank Wood Hongseok Yang Jan-Willem van de Meent TPM 10 12 0 25 Jun 2018
Scalable Bayesian Learning for State Space Models using Variational Inference with SMC Samplers Marcel Hirt P. Dellaportas BDL 20 10 0 23 May 2018
Particle Filter Networks with Application to Visual Localization Peter Karkus David Hsu Wee Sun Lee 3DPC 16 117 0 23 May 2018
Approximate Bayesian inference in spatial environments Atanas Mirchev Baris Kayalibay Maximilian Soelch Patrick van der Smagt Justin Bayer BDL 16 22 0 18 May 2018
Particle-based pedestrian path prediction using LSTM-MDL models Ronny Hug S. Becker Wolfgang Hubner Michael Arens 41 32 0 16 Apr 2018
Flexible statistical inference for mechanistic models of neural dynamics Jan-Matthis Lueckmann P. J. Gonçalves Giacomo Bassetto Kaan Öcal M. Nonnenmacher Jakob H. Macke 34 240 0 06 Nov 2017
Filtering Variational Objectives Chris J. Maddison Dieterich Lawson George Tucker N. Heess Mohammad Norouzi A. Mnih Arnaud Doucet Yee Whye Teh FedML 22 210 0 25 May 2017
Stochastic Sequential Neural Networks with Structured Inference Hao Liu Haoli Bai Lirong He Zenglin Xu BDL 23 3 0 24 May 2017
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 52 142 0 31 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 19 452 0 30 Sep 2016
Sequential Neural Models with Stochastic Layers Marco Fraccaro Søren Kaae Sønderby Ulrich Paquet Ole Winther BDL 65 393 0 24 May 2016
Fast $ε$ -free Inference of Simulation Models with Bayesian Conditional Density Estimation George Papamakarios Iain Murray TPM 32 158 0 20 May 2016
Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks Daniel E. Ritchie Anna T. Thomas Pat Hanrahan Noah D. Goodman TPM 28 11 0 19 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 29 126 0 07 Mar 2016