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A General Method for Amortizing Variational Filtering

A General Method for Amortizing Variational Filtering

13 November 2018
Joseph Marino
Milan Cvitkovic
Yisong Yue
ArXivPDFHTML

Papers citing "A General Method for Amortizing Variational Filtering"

8 / 8 papers shown
Title
Learning Optimal Filters Using Variational Inference
Learning Optimal Filters Using Variational Inference
Enoch Luk
Eviatar Bach
Ricardo Baptista
Andrew Stuart
24
6
0
26 Jun 2024
Real-Time Variational Method for Learning Neural Trajectory and its
  Dynamics
Real-Time Variational Method for Learning Neural Trajectory and its Dynamics
Matthew Dowling
Yuan Zhao
Il Memming Park
BDL
OffRL
21
6
0
18 May 2023
Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation
Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation
Michael Chang
Thomas L. Griffiths
Sergey Levine
OCL
57
59
0
02 Jul 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Online Variational Filtering and Parameter Learning
Online Variational Filtering and Parameter Learning
Andrew Campbell
Yuyang Shi
Tom Rainforth
Arnaud Doucet
BDL
25
21
0
26 Oct 2021
Improving Sequential Latent Variable Models with Autoregressive Flows
Improving Sequential Latent Variable Models with Autoregressive Flows
Joseph Marino
Lei Chen
Jiawei He
Stephan Mandt
BDL
AI4TS
21
12
0
07 Oct 2020
Control as Hybrid Inference
Control as Hybrid Inference
Alexander Tschantz
Beren Millidge
A. Seth
Christopher L. Buckley
19
9
0
11 Jul 2020
Multi-Object Representation Learning with Iterative Variational
  Inference
Multi-Object Representation Learning with Iterative Variational Inference
Klaus Greff
Raphael Lopez Kaufman
Rishabh Kabra
Nicholas Watters
Christopher P. Burgess
Daniel Zoran
Loic Matthey
M. Botvinick
Alexander Lerchner
OCL
SSL
13
499
0
01 Mar 2019
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