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Structured Inference Networks for Nonlinear State Space Models

Structured Inference Networks for Nonlinear State Space Models

30 September 2016
Rahul G. Krishnan
Uri Shalit
David Sontag
    BDL
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Papers citing "Structured Inference Networks for Nonlinear State Space Models"

11 / 11 papers shown
Title
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems
Zhidi Lin
Ying Li
Feng Yin
Juan Maroñas
Alexandre Thiéry
93
0
0
24 Mar 2025
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability
Carlos E. Luis
A. Bottero
Julia Vinogradska
Felix Berkenkamp
Jan Peters
128
1
0
20 Feb 2025
AI-Aided Kalman Filters
AI-Aided Kalman Filters
Nir Shlezinger
Guy Revach
Anubhab Ghosh
Saikat Chatterjee
Shuo Tang
Tales Imbiriba
J. Duník
O. Straka
Pau Closas
Yonina C. Eldar
110
5
0
16 Oct 2024
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Probabilistic Forecasting of Irregular Time Series via Conditional Flows
Vijaya Krishna Yalavarthi
Randolf Scholz
Stefan Born
Lars Schmidt-Thieme
AI4TS
59
0
0
09 Feb 2024
A projected nonlinear state-space model for forecasting time series signals
A projected nonlinear state-space model for forecasting time series signals
Christian Donner
Anuj Mishra
Hideaki Shimazaki
AI4TS
36
0
0
22 Nov 2023
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions
Ryan Lopez
P. Atzberger
AI4CE
46
8
0
10 Jun 2022
Linear dynamical neural population models through nonlinear embeddings
Linear dynamical neural population models through nonlinear embeddings
Yuanjun Gao
Evan Archer
Liam Paninski
John P. Cunningham
40
155
0
26 May 2016
Sequential Neural Models with Stochastic Layers
Sequential Neural Models with Stochastic Layers
Marco Fraccaro
Søren Kaae Sønderby
Ulrich Paquet
Ole Winther
BDL
86
395
0
24 May 2016
DRAW: A Recurrent Neural Network For Image Generation
DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor
Ivo Danihelka
Alex Graves
Danilo Jimenez Rezende
Daan Wierstra
GAN
DRL
140
1,959
0
16 Feb 2015
Variational Recurrent Auto-Encoders
Variational Recurrent Auto-Encoders
Otto Fabius
Joost R. van Amersfoort
GAN
BDL
DRL
47
245
0
20 Dec 2014
Modeling Temporal Dependencies in High-Dimensional Sequences:
  Application to Polyphonic Music Generation and Transcription
Modeling Temporal Dependencies in High-Dimensional Sequences: Application to Polyphonic Music Generation and Transcription
Nicolas Boulanger-Lewandowski
Yoshua Bengio
Pascal Vincent
74
700
0
27 Jun 2012
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