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Mind the Gap when Conditioning Amortised Inference in Sequential
  Latent-Variable Models

Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models

18 January 2021
Justin Bayer
Maximilian Soelch
Atanas Mirchev
Baris Kayalibay
Patrick van der Smagt
ArXivPDFHTML

Papers citing "Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models"

8 / 8 papers shown
Title
Cheap and Deterministic Inference for Deep State-Space Models of
  Interacting Dynamical Systems
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems
Andreas Look
M. Kandemir
Barbara Rakitsch
Jan Peters
BDL
30
6
0
02 May 2023
Integrating Multimodal Data for Joint Generative Modeling of Complex
  Dynamics
Integrating Multimodal Data for Joint Generative Modeling of Complex Dynamics
Manuela Brenner
Florian Hess
G. Koppe
Daniel Durstewitz
20
9
0
15 Dec 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical Systems
Manuela Brenner
Florian Hess
Jonas M. Mikhaeil
Leonard Bereska
Zahra Monfared
Po-Chen Kuo
Daniel Durstewitz
AI4CE
37
29
0
06 Jul 2022
Bounding Evidence and Estimating Log-Likelihood in VAE
Bounding Evidence and Estimating Log-Likelihood in VAE
Lukasz Struski
Marcin Mazur
Pawel Batorski
P. Spurek
Jacek Tabor
13
3
0
19 Jun 2022
Benchmarking Generative Latent Variable Models for Speech
Benchmarking Generative Latent Variable Models for Speech
Jakob Drachmann Havtorn
Lasse Borgholt
Søren Hauberg
J. Frellsen
Lars Maaløe
18
3
0
22 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear
  Temporal-Spectral Fusion
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
Ling Yang
linda Qiao
AI4TS
25
119
0
08 Feb 2022
Linear Variational State-Space Filtering
Linear Variational State-Space Filtering
Daniel Pfrommer
Nikolai Matni
30
1
0
04 Jan 2022
Learning to Fly via Deep Model-Based Reinforcement Learning
Learning to Fly via Deep Model-Based Reinforcement Learning
Philip Becker-Ehmck
Maximilian Karl
Jan Peters
Patrick van der Smagt
SSL
35
37
0
19 Mar 2020
1