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

50 / 232 papers shown
Title
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Long-Term Individual Causal Effect Estimation via Identifiable Latent Representation Learning
Ruichu Cai
Junjie Wan
Weilin Chen
Zeqin Yang
Zijian Li
Peng Zhen
Jiecheng Guo
CML
61
1
0
08 May 2025
Bayesian Computation in Deep Learning
Bayesian Computation in Deep Learning
Wenlong Chen
Bolian Li
Ruqi Zhang
Yingzhen Li
BDL
75
0
0
25 Feb 2025
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
BP-SGCN: Behavioral Pseudo-Label Informed Sparse Graph Convolution Network for Pedestrian and Heterogeneous Trajectory Prediction
Ruochen Li
Stamos Katsigiannis
Tae-Kyun Kim
Hubert P. H. Shum
92
1
0
20 Feb 2025
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Learning Strategy Representation for Imitation Learning in Multi-Agent Games
Shiqi Lei
Kanghon Lee
Linjing Li
Jinkyoo Park
OffRL
42
0
0
17 Feb 2025
Control-ITRA: Controlling the Behavior of a Driving Model
Control-ITRA: Controlling the Behavior of a Driving Model
Vasileios Lioutas
Adam Scibior
Matthew Niedoba
Berend Zwartsenberg
Frank Wood
183
0
0
17 Jan 2025
Brain-like variational inference
Brain-like variational inference
Hadi Vafaii
Dekel Galor
Jacob L. Yates
DRL
49
0
0
25 Oct 2024
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific
  Learning Rate
Efficient Recurrent Off-Policy RL Requires a Context-Encoder-Specific Learning Rate
Fan Luo
Zuolin Tu
Zefang Huang
Yang Yu
OffRL
38
0
0
24 May 2024
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time Series
Zahra Zamanzadeh Darban
Yiyuan Yang
Geoffrey I. Webb
Charu C. Aggarwal
Qingsong Wen
Shirui Pan
Mahsa Salehi
60
0
0
17 Apr 2024
Using Domain Knowledge to Guide Dialog Structure Induction via Neural
  Probabilistic Soft Logic
Using Domain Knowledge to Guide Dialog Structure Induction via Neural Probabilistic Soft Logic
Connor Pryor
Quan Yuan
J. Liu
Mehran Kazemi
Deepak Ramachandran
Tania Bedrax-Weiss
Lise Getoor
29
1
0
26 Mar 2024
Variational Sampling of Temporal Trajectories
Variational Sampling of Temporal Trajectories
Jurijs Nazarovs
Zhichun Huang
Xingjian Zhen
Sourav Pal
Rudrasis Chakraborty
Vikas Singh
24
0
0
18 Mar 2024
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
ELA: Exploited Level Augmentation for Offline Learning in Zero-Sum Games
Shiqi Lei
Kanghoon Lee
Linjing Li
Jinkyoo Park
Jiachen Li
OffRL
31
1
0
28 Feb 2024
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
REPLAY: Modeling Time-Varying Temporal Regularities of Human Mobility for Location Prediction over Sparse Trajectories
Bangchao Deng
Bingqing Qu
Pengyang Wang
Dingqi Yang
Benjamin Fankhauser
Philippe Cudre-Mauroux
AI4TS
36
1
0
26 Feb 2024
Exploiting the capacity of deep networks only at training stage for
  nonlinear black-box system identification
Exploiting the capacity of deep networks only at training stage for nonlinear black-box system identification
V. M. Eivaghi
M. A. Shoorehdeli
34
0
0
26 Dec 2023
Learning Multimodal Latent Dynamics for Human-Robot Interaction
Learning Multimodal Latent Dynamics for Human-Robot Interaction
V. Prasad
Lea Heitlinger
Dorothea Koert
R. Stock-Homburg
Jan Peters
Georgia Chalvatzaki
48
3
0
27 Nov 2023
Variational Connectionist Temporal Classification for Order-Preserving
  Sequence Modeling
Variational Connectionist Temporal Classification for Order-Preserving Sequence Modeling
Zheng Nan
T. Dang
V. Sethu
Beena Ahmed
BDL
27
2
0
21 Sep 2023
Temporal Conditioning Spiking Latent Variable Models of the Neural
  Response to Natural Visual Scenes
Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes
Gehua (Marcus) Ma
Runhao Jiang
Rui Yan
Huajin Tang
AI4TS
42
6
0
21 Jun 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
26
1
0
15 Jun 2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball
  Trajectory Prediction with Spin and Impacts
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
Jan Achterhold
Philip Tobuschat
Hao Ma
Dieter Buechler
Michael Muehlebach
Joerg Stueckler
14
6
0
24 May 2023
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
36
6
0
02 May 2023
Variational Inference for Longitudinal Data Using Normalizing Flows
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec
S. Allassonnière
BDL
DRL
26
1
0
24 Mar 2023
Kullback-Leibler Divergence and Akaike Information Criterion in General
  Hidden Markov Models
Kullback-Leibler Divergence and Akaike Information Criterion in General Hidden Markov Models
C. Fuh
C. Kao
T. Pang
24
0
0
14 Mar 2023
Cross-domain Transfer Learning and State Inference for Soft Robots via a
  Semi-supervised Sequential Variational Bayes Framework
Cross-domain Transfer Learning and State Inference for Soft Robots via a Semi-supervised Sequential Variational Bayes Framework
Shageenderan Sapai
Junn Yong Loo
Z. Y. Ding
Chee Pin Tan
Raphaël C.-W. Phan
Vishnu Monn Baskaran
Surya Girinatha Nurzaman
DRL
10
5
0
03 Mar 2023
Learning from Predictions: Fusing Training and Autoregressive Inference
  for Long-Term Spatiotemporal Forecasts
Learning from Predictions: Fusing Training and Autoregressive Inference for Long-Term Spatiotemporal Forecasts
Pantelis R. Vlachas
Petros Koumoutsakos
AI4TS
AI4CE
23
7
0
22 Feb 2023
Towards Zero-trust Security for the Metaverse
Towards Zero-trust Security for the Metaverse
Ruizhi Cheng
Songqing Chen
Bo Han
31
28
0
17 Feb 2023
Causal Recurrent Variational Autoencoder for Medical Time Series
  Generation
Causal Recurrent Variational Autoencoder for Medical Time Series Generation
Hongming Li
Shujian Yu
José C. Príncipe
CML
BDL
MedIm
28
47
0
16 Jan 2023
Structural Attention-Based Recurrent Variational Autoencoder for Highway
  Vehicle Anomaly Detection
Structural Attention-Based Recurrent Variational Autoencoder for Highway Vehicle Anomaly Detection
Neeloy Chakraborty
Aamir Hasan
Shuijing Liu
Tianchen Ji
Weihang Liang
D. L. McPherson
Katherine Driggs-Campbell
37
11
0
09 Jan 2023
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Chat2Map: Efficient Scene Mapping from Multi-Ego Conversations
Sagnik Majumder
Hao Jiang
Pierre Moulon
E. Henderson
P. Calamia
Kristen Grauman
V. Ithapu
EgoV
35
7
0
04 Jan 2023
PVGRU: Generating Diverse and Relevant Dialogue Responses via
  Pseudo-Variational Mechanism
PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism
Yongkang Liu
Shi Feng
Daling Wang
Yifei Zhang
Hinrich Schütze
31
6
0
18 Dec 2022
PRISM: Probabilistic Real-Time Inference in Spatial World Models
PRISM: Probabilistic Real-Time Inference in Spatial World Models
Atanas Mirchev
Baris Kayalibay
Ahmed Agha
Patrick van der Smagt
Daniel Cremers
Justin Bayer
VGen
31
0
0
06 Dec 2022
Variational Laplace Autoencoders
Variational Laplace Autoencoders
Yookoon Park
C. Kim
Gunhee Kim
BDL
DRL
26
21
0
30 Nov 2022
Audio Language Modeling using Perceptually-Guided Discrete
  Representations
Audio Language Modeling using Perceptually-Guided Discrete Representations
Felix Kreuk
Yaniv Taigman
Adam Polyak
Jade Copet
Gabriel Synnaeve
Alexandre Défossez
Yossi Adi
32
4
0
02 Nov 2022
Probabilistic Decomposition Transformer for Time Series Forecasting
Probabilistic Decomposition Transformer for Time Series Forecasting
Junlong Tong
Liping Xie
Wankou Yang
Kanjian Zhang
AI4TS
24
5
0
31 Oct 2022
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in
  Transformer-Based Variational AutoEncoder for Diverse Text Generation
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation
Jinyi Hu
Xiaoyuan Yi
Wenhao Li
Maosong Sun
Xingxu Xie
DRL
27
0
0
22 Oct 2022
Learning Robust Dynamics through Variational Sparse Gating
Learning Robust Dynamics through Variational Sparse Gating
A. Jain
Shivakanth Sujit
S. Joshi
Vincent Michalski
Danijar Hafner
Samira Ebrahimi Kahou
27
8
0
21 Oct 2022
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic
  Control
Option-Aware Adversarial Inverse Reinforcement Learning for Robotic Control
Jiayu Chen
Tian-Shing Lan
Vaneet Aggarwal
BDL
12
16
0
05 Oct 2022
It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
It Takes Two: Learning to Plan for Human-Robot Cooperative Carrying
Eley Ng
Ziang Liu
Monroe Kennedy
28
18
0
26 Sep 2022
T2FPV: Dataset and Method for Correcting First-Person View Errors in
  Pedestrian Trajectory Prediction
T2FPV: Dataset and Method for Correcting First-Person View Errors in Pedestrian Trajectory Prediction
Ben Stoler
Meghdeep Jana
Soonmin Hwang
Jean Oh
35
3
0
22 Sep 2022
Predicting the Next Action by Modeling the Abstract Goal
Predicting the Next Action by Modeling the Abstract Goal
Debaditya Roy
Basura Fernando
EgoV
26
18
0
12 Sep 2022
Bayesian Neural Network Language Modeling for Speech Recognition
Bayesian Neural Network Language Modeling for Speech Recognition
Boyang Xue
Shoukang Hu
Junhao Xu
Mengzhe Geng
Xunying Liu
Helen M. Meng
UQCV
BDL
44
14
0
28 Aug 2022
Training Latent Variable Models with Auto-encoding Variational Bayes: A
  Tutorial
Training Latent Variable Models with Auto-encoding Variational Bayes: A Tutorial
Yang Zhi-Han
BDL
DRL
35
5
0
16 Aug 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Contrastive Learning for Unsupervised Domain Adaptation of Time Series
Yilmazcan Ozyurt
Stefan Feuerriegel
Ce Zhang
AI4TS
34
45
0
13 Jun 2022
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
26
8
0
10 Jun 2022
Drawing out of Distribution with Neuro-Symbolic Generative Models
Drawing out of Distribution with Neuro-Symbolic Generative Models
Yi-Chuan Liang
J. Tenenbaum
T. Le
N. Siddharth
23
7
0
03 Jun 2022
Cascaded Video Generation for Videos In-the-Wild
Cascaded Video Generation for Videos In-the-Wild
Lluis Castrejon
Nicolas Ballas
Aaron Courville
VGen
37
0
0
01 Jun 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
137
350
0
21 May 2022
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with
  Application to Mispronunciations Localization
Unsupervised Mismatch Localization in Cross-Modal Sequential Data with Application to Mispronunciations Localization
Wei Wei
Hengguan Huang
Xiangming Gu
Hao Wang
Ye Wang
BDL
22
0
0
05 May 2022
Variational Heteroscedastic Volatility Model
Variational Heteroscedastic Volatility Model
Zexuan Yin
P. Barucca
AI4TS
23
0
0
11 Apr 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate
  Shift
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift
Felix Ott
David Rügamer
Lucas Heublein
Bernd Bischl
Christopher Mutschler
OOD
TTA
AI4TS
33
31
0
07 Apr 2022
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical
  VAE
HiT-DVAE: Human Motion Generation via Hierarchical Transformer Dynamical VAE
Xiaoyu Bie
Wen Guo
Simon Leglaive
Laurent Girin
Francesc Moreno-Noguer
Xavier Alameda-Pineda
VGen
3DH
35
13
0
04 Apr 2022
Diffusion Probabilistic Modeling for Video Generation
Diffusion Probabilistic Modeling for Video Generation
Ruihan Yang
Prakhar Srivastava
Stephan Mandt
DiffM
VGen
59
257
0
16 Mar 2022
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