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A Recurrent Latent Variable Model for Sequential Data

A Recurrent Latent Variable Model for Sequential Data

7 June 2015
Junyoung Chung
Kyle Kastner
Laurent Dinh
Kratarth Goel
Aaron Courville
Yoshua Bengio
    DRL
    BDL
ArXivPDFHTML

Papers citing "A Recurrent Latent Variable Model for Sequential Data"

50 / 232 papers shown
Title
Information-Theoretic Odometry Learning
Information-Theoretic Odometry Learning
Sen Zhang
Jing Zhang
Dacheng Tao
23
5
0
11 Mar 2022
A Brief Overview of Unsupervised Neural Speech Representation Learning
A Brief Overview of Unsupervised Neural Speech Representation Learning
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
Lars Maaløe
Christian Igel
BDL
AI4TS
SSL
19
11
0
01 Mar 2022
Structure Extraction in Task-Oriented Dialogues with Slot Clustering
Structure Extraction in Task-Oriented Dialogues with Slot Clustering
Liang Qiu
Chien-Sheng Wu
Wenhao Liu
Caiming Xiong
21
8
0
28 Feb 2022
"If you could see me through my eyes": Predicting Pedestrian Perception
"If you could see me through my eyes": Predicting Pedestrian Perception
Julian Petzold
Mostafa Wahby
F. Stark
Ulrich Behrje
Heiko Hamann
45
3
0
28 Feb 2022
Data-to-text Generation with Variational Sequential Planning
Data-to-text Generation with Variational Sequential Planning
Ratish Puduppully
Yao Fu
Mirella Lapata
56
21
0
28 Feb 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
26
3
0
22 Feb 2022
Variational Neural Temporal Point Process
Variational Neural Temporal Point Process
Deokjun Eom
Sehyun Lee
Jaesik Choi
BDL
AI4TS
38
2
0
17 Feb 2022
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent
  Dynamics from Volumetric Video
Neural Marionette: Unsupervised Learning of Motion Skeleton and Latent Dynamics from Volumetric Video
Jinseok Bae
Hojun Jang
Cheol-Hui Min
H. Choi
Y. Kim
19
5
0
17 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
Active Audio-Visual Separation of Dynamic Sound Sources
Active Audio-Visual Separation of Dynamic Sound Sources
Sagnik Majumder
Kristen Grauman
27
21
0
02 Feb 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
75
43
0
01 Feb 2022
Causal-based Time Series Domain Generalization for Vehicle Intention
  Prediction
Causal-based Time Series Domain Generalization for Vehicle Intention Prediction
Yeping Hu
Xiaogang Jia
Masayoshi Tomizuka
Wei Zhan
OOD
40
25
0
03 Dec 2021
Estimating the Value-at-Risk by Temporal VAE
Estimating the Value-at-Risk by Temporal VAE
Robert Sicks
S. Grimm
R. Korn
Ivo Richert
10
6
0
03 Dec 2021
Active Inference in Robotics and Artificial Agents: Survey and
  Challenges
Active Inference in Robotics and Artificial Agents: Survey and Challenges
Pablo Lanillos
Cristian Meo
Corrado Pezzato
A. Meera
Mohamed Baioumy
...
Alexander Tschantz
Beren Millidge
M. Wisse
Christopher L. Buckley
Jun Tani
AI4CE
40
75
0
03 Dec 2021
Hamiltonian latent operators for content and motion disentanglement in
  image sequences
Hamiltonian latent operators for content and motion disentanglement in image sequences
Asif Khan
Amos Storkey
29
2
0
02 Dec 2021
Gaussian Mixture Variational Autoencoder with Contrastive Learning for
  Multi-Label Classification
Gaussian Mixture Variational Autoencoder with Contrastive Learning for Multi-Label Classification
Junwen Bai
Shufeng Kong
Carla P. Gomes
SSL
DRL
30
36
0
02 Dec 2021
Action2video: Generating Videos of Human 3D Actions
Action2video: Generating Videos of Human 3D Actions
Chuan Guo
Wei Ji
Sen Wang
Xinshuang Liu
Shihao Zou
Minglun Gong
Li Cheng
3DH
73
22
0
12 Nov 2021
Constructing Neural Network-Based Models for Simulating Dynamical
  Systems
Constructing Neural Network-Based Models for Simulating Dynamical Systems
Christian Møldrup Legaard
Thomas Schranz
G. Schweiger
Ján Drgovna
Basak Falay
C. Gomes
Alexandros Iosifidis
M. Abkar
P. Larsen
PINN
AI4CE
33
93
0
02 Nov 2021
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type
  Classification
Logic Rules Meet Deep Learning: A Novel Approach for Ship Type Classification
Manolis Pitsikalis
Thanh-Toan Do
A. Lisitsa
Shang Luo
13
5
0
01 Nov 2021
Roto-translated Local Coordinate Frames For Interacting Dynamical
  Systems
Roto-translated Local Coordinate Frames For Interacting Dynamical Systems
Miltiadis Kofinas
N. S. Nagaraja
E. Gavves
AI4CE
19
32
0
28 Oct 2021
Online Variational Filtering and Parameter Learning
Online Variational Filtering and Parameter Learning
Andrew Campbell
Yuyang Shi
Tom Rainforth
Arnaud Doucet
BDL
30
21
0
26 Oct 2021
Contrastively Disentangled Sequential Variational Autoencoder
Contrastively Disentangled Sequential Variational Autoencoder
M. Kiener
Weiran Wang
Michael Gerndt
CoGe
DRL
27
40
0
22 Oct 2021
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical
  Systems with Uncertainty
Physics-guided Deep Markov Models for Learning Nonlinear Dynamical Systems with Uncertainty
Wei Liu
Zhilu Lai
Kiran Bacsa
Eleni Chatzi
PINN
BDL
AI4CE
20
33
0
16 Oct 2021
Causal Discovery from Conditionally Stationary Time Series
Causal Discovery from Conditionally Stationary Time Series
Carles Balsells-Rodas
Ruibo Tu
Hedvig Kjellström
Yingzhen Li
Gabriele Schweikert
Hedvig Kjellstrom
Yingzhen Li
BDL
CML
AI4TS
39
5
0
12 Oct 2021
Style Equalization: Unsupervised Learning of Controllable Generative
  Sequence Models
Style Equalization: Unsupervised Learning of Controllable Generative Sequence Models
Jen-Hao Rick Chang
A. Shrivastava
H. Koppula
Xiaoshuai Zhang
Oncel Tuzel
DiffM
51
16
0
06 Oct 2021
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video
  Prediction
A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction
Moitreya Chatterjee
Narendra Ahuja
A. Cherian
UQCV
VGen
BDL
42
17
0
06 Oct 2021
Fully Spiking Variational Autoencoder
Fully Spiking Variational Autoencoder
Hiromichi Kamata
Yusuke Mukuta
Tatsuya Harada
BDL
DRL
38
41
0
26 Sep 2021
A Temporal Variational Model for Story Generation
A Temporal Variational Model for Story Generation
David Wilmot
Frank Keller
DRL
35
8
0
14 Sep 2021
TrAISformer -- A Transformer Network with Sparse Augmented Data
  Representation and Cross Entropy Loss for AIS-based Vessel Trajectory
  Prediction
TrAISformer -- A Transformer Network with Sparse Augmented Data Representation and Cross Entropy Loss for AIS-based Vessel Trajectory Prediction
Duong Nguyen
Ronan Fablet
21
24
0
08 Sep 2021
Simple Video Generation using Neural ODEs
Simple Video Generation using Neural ODEs
David Kanaa
Vikram S. Voleti
Samira Ebrahimi Kahou
Christopher Pal
27
20
0
07 Sep 2021
Robust Predictable Control
Robust Predictable Control
Benjamin Eysenbach
Ruslan Salakhutdinov
Sergey Levine
OffRL
29
44
0
07 Sep 2021
Federated Variational Learning for Anomaly Detection in Multivariate
  Time Series
Federated Variational Learning for Anomaly Detection in Multivariate Time Series
Kai Zhang
Yushan Jiang
Lee M. Seversky
Chengtao Xu
Dahai Liu
Haoze Song
AI4TS
14
26
0
18 Aug 2021
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part
  Hierarchies
LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies
Dominic Roberts
Aram Danielyan
Hang Chu
Mani Golparvar-Fard
David A. Forsyth
3DPC
3DV
43
8
0
18 Aug 2021
Conditional Temporal Variational AutoEncoder for Action Video Prediction
Conditional Temporal Variational AutoEncoder for Action Video Prediction
Xiaogang Xu
Yi Wang
Liwei Wang
Bei Yu
Jiaya Jia
VGen
34
5
0
12 Aug 2021
Temporal Dependencies in Feature Importance for Time Series Predictions
Temporal Dependencies in Feature Importance for Time Series Predictions
Kin Kwan Leung
Clayton Rooke
Jonathan Smith
S. Zuberi
M. Volkovs
OOD
AI4TS
31
24
0
29 Jul 2021
Insights from Generative Modeling for Neural Video Compression
Insights from Generative Modeling for Neural Video Compression
Ruihan Yang
Yibo Yang
Joseph Marino
Stephan Mandt
VGen
35
16
0
28 Jul 2021
AI in Finance: Challenges, Techniques and Opportunities
AI in Finance: Challenges, Techniques and Opportunities
LongBing Cao
AIFin
36
240
0
20 Jul 2021
Discrete Auto-regressive Variational Attention Models for Text Modeling
Discrete Auto-regressive Variational Attention Models for Text Modeling
Xianghong Fang
Haoli Bai
Jian Li
Zenglin Xu
Michael Lyu
Irwin King
40
3
0
16 Jun 2021
Time Series Anomaly Detection for Cyber-Physical Systems via Neural
  System Identification and Bayesian Filtering
Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filtering
Cheng Feng
Pengwei Tian
AI4TS
19
75
0
15 Jun 2021
A Benchmark of Dynamical Variational Autoencoders applied to Speech
  Spectrogram Modeling
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
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
Hierarchical Video Generation for Complex Data
Hierarchical Video Generation for Complex Data
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
22
4
0
04 Jun 2021
SmartPatch: Improving Handwritten Word Imitation with Patch
  Discriminators
SmartPatch: Improving Handwritten Word Imitation with Patch Discriminators
A. Mattick
Martin Mayr
Mathias Seuret
Andreas Maier
Vincent Christlein
23
18
0
21 May 2021
Learning Robust Latent Representations for Controllable Speech Synthesis
Learning Robust Latent Representations for Controllable Speech Synthesis
Shakti Kumar
Jithin Pradeep
Hussain Zaidi
DRL
33
6
0
10 May 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank Wood
VGen
56
47
0
22 Apr 2021
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
DynACPD Embedding Algorithm for Prediction Tasks in Dynamic Networks
C. Connell
Yangkun Wang
8
0
0
12 Mar 2021
Leading or Following? Dyadic Robot Imitative Interaction Using the
  Active Inference Framework
Leading or Following? Dyadic Robot Imitative Interaction Using the Active Inference Framework
Nadine Wirkuttis
Jun Tani
8
14
0
03 Mar 2021
Physics-Integrated Variational Autoencoders for Robust and Interpretable
  Generative Modeling
Physics-Integrated Variational Autoencoders for Robust and Interpretable Generative Modeling
Naoya Takeishi
Alexandros Kalousis
DRL
AI4CE
30
54
0
25 Feb 2021
SLPC: a VRNN-based approach for stochastic lidar prediction and
  completion in autonomous driving
SLPC: a VRNN-based approach for stochastic lidar prediction and completion in autonomous driving
George Eskandar
Alexander Braun
M. Meinke
Karim Armanious
Bin Yang
3DV
28
4
0
19 Feb 2021
Differentiable Particle Filtering via Entropy-Regularized Optimal
  Transport
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos
James Thornton
George Deligiannidis
Arnaud Doucet
OT
43
66
0
15 Feb 2021
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