Tensor Monte Carlo: particle methods for the GPU era

22 June 2018

Papers citing "Tensor Monte Carlo: particle methods for the GPU era"

7 / 7 papers shown

Title
Massively Parallel Reweighted Wake-Sleep Thomas Heap Gavin Leech Laurence Aitchison BDL 18 2 0 18 May 2023
Multiple Importance Sampling ELBO and Deep Ensembles of Variational Approximations Oskar Kviman Harald Melin Hazal Koptagel Victor Elvira J. Lagergren DRL 68 17 0 22 Feb 2022
De-Sequentialized Monte Carlo: a parallel-in-time particle smoother Adrien Corenflos Nicolas Chopin Simo Särkkä 19 6 0 04 Feb 2022
The divide-and-conquer sequential Monte Carlo algorithm: theoretical properties and limit theorems Juan Kuntz F. R. Crucinio A. M. Johansen 19 10 0 29 Oct 2021
Data augmentation in Bayesian neural networks and the cold posterior effect Seth Nabarro Stoil Ganev Adrià Garriga-Alonso Vincent Fortuin Mark van der Wilk Laurence Aitchison BDL 26 37 0 10 Jun 2021
Product-form estimators: exploiting independence to scale up Monte Carlo Juan Kuntz F. R. Crucinio A. M. Johansen 28 10 0 23 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport Adrien Corenflos James Thornton George Deligiannidis Arnaud Doucet OT 41 66 0 15 Feb 2021