Sequential Neural Models with Stochastic Layers

24 May 2016

Papers citing "Sequential Neural Models with Stochastic Layers"

50 / 223 papers shown

Title
AI-Aided Kalman Filters Nir Shlezinger Guy Revach Anubhab Ghosh S. Chatterjee Shuo Tang Tales Imbiriba J. Duník O. Straka Pau Closas Yonina C. Eldar 80 3 0 16 Oct 2024
Deep Generative Modeling for Identification of Noisy, Non-Stationary Dynamical Systems Doris Voina Steven Brunton J. Nathan Kutz DiffM 24 2 0 02 Oct 2024
Implicit Dynamical Flow Fusion (IDFF) for Generative Modeling Mohammad R. Rezaei Rahul G. Krishnan Milos R. Popovic M. Lankarany DiffM 26 0 0 22 Sep 2024
Deep State-Space Generative Model For Correlated Time-to-Event Predictions Yuan Xue Denny Zhou Nan Du Andrew M. Dai Zhen Xu Kun Zhang Claire Cui 39 8 0 28 Jul 2024
Learning to Select the Best Forecasting Tasks for Clinical Outcome Prediction Yuan Xue Nan Du A. Mottram Martin G. Seneviratne Andrew M. Dai AI4TS 55 0 0 28 Jul 2024
Towards the Next Frontier in Speech Representation Learning Using Disentanglement Varun Krishna Sriram Ganapathy SSL 19 1 0 02 Jul 2024
A Survey on Recent Random Walk-based Methods for Embedding Knowledge Graphs Elika Bozorgi Sakher Khalil Alqaiidi Afsaneh Shams H. Arabnia Krzysztof Kochut 39 0 0 11 Jun 2024
Deep Bayesian Filter for Bayes-faithful Data Assimilation Yuta Tarumi Keisuke Fukuda Shin-ichi Maeda 21 2 0 29 May 2024
Alternators For Sequence Modeling Mohammad Reza Rezaei Adji Bousso Dieng 28 0 0 20 May 2024
Explain Variance of Prediction in Variational Time Series Models for Clinical Deterioration Prediction Jiacheng Liu Jaideep Srivastava 27 0 0 09 Feb 2024
CaRiNG: Learning Temporal Causal Representation under Non-Invertible Generation Process Guan-Hong Chen Yifan Shen Zhenhao Chen Xiangchen Song Yuewen Sun Weiran Yao Xiao Liu Kun Zhang CML 34 7 0 25 Jan 2024
Continuous-time Autoencoders for Regular and Irregular Time Series Imputation Hyowon Wi Yehjin Shin Noseong Park BDL AI4TS 37 4 0 27 Dec 2023
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
Time-Transformer: Integrating Local and Global Features for Better Time Series Generation Yuansan Liu S. Wijewickrema Ang Li C. Bester Stephen O'Leary James Bailey ViT AI4TS 37 7 0 18 Dec 2023
Mixture of Dynamical Variational Autoencoders for Multi-Source Trajectory Modeling and Separation Xiaoyu Lin Laurent Girin Xavier Alameda-Pineda 16 2 0 07 Dec 2023
NAS-X: Neural Adaptive Smoothing via Twisting Dieterich Lawson Michael Y. Li Scott W. Linderman 20 1 0 28 Aug 2023
A generative model for surrogates of spatial-temporal wildfire nowcasting Sibo Cheng Yike Guo Rossella Arcucci SyDa AI4CE 30 7 0 05 Aug 2023
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging M. Valiuddin Christiaan G. A. Viviers R. V. Sloun Peter H. N. de With Fons van der Sommen UQCV 36 2 0 31 Jul 2023
Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting Wentao Bao Lele Chen Libing Zeng Zhong Li Yinghao Xu Junsong Yuan Yubo Kong 29 15 0 17 Jul 2023
Last layer state space model for representation learning and uncertainty quantification Max H. Cohen M. Charbit Sylvain Le Corff UQCV BDL 30 1 0 04 Jul 2023
Unbiased Learning of Deep Generative Models with Structured Discrete Representations H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 27 1 0 14 Jun 2023
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 Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 36 6 0 02 May 2023
Optimum Output Long Short-Term Memory Cell for High-Frequency Trading Forecasting Adamantios Ntakaris Moncef Gabbouj Juho Kanniainen AI4TS 19 0 0 17 Apr 2023
Deep state-space modeling for explainable representation, analysis, and generation of professional human poses B. E. Olivas-Padilla Alina Glushkova S. Manitsaris 31 0 0 13 Apr 2023
Speech Modeling with a Hierarchical Transformer Dynamical VAE Xiaoyu Lin Xiaoyu Bie Simon Leglaive Laurent Girin Xavier Alameda-Pineda BDL 39 2 0 07 Mar 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 35 0 0 22 Feb 2023
Deep networks for system identification: a Survey G. Pillonetto Aleksandr Aravkin Daniel Gedon L. Ljung Antônio H. Ribeiro Thomas B. Schon OOD 37 36 0 30 Jan 2023
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
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions Cheng Wang Carolin (Haas) Lawrence Mathias Niepert 21 3 0 10 Dec 2022
Criteria for Classifying Forecasting Methods Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 21 173 0 07 Dec 2022
Probabilistic Decomposition Transformer for Time Series Forecasting Junlong Tong Liping Xie Wankou Yang Kanjian Zhang AI4TS 24 5 0 31 Oct 2022
ControlVAE: Model-Based Learning of Generative Controllers for Physics-Based Characters Heyuan Yao Zhenhua Song B. Chen Libin Liu DRL VGen 16 41 0 12 Oct 2022
Latent State Marginalization as a Low-cost Approach for Improving Exploration Dinghuai Zhang Aaron Courville Yoshua Bengio Qinqing Zheng Amy Zhang Ricky T. Q. Chen OOD 34 9 0 03 Oct 2022
Predicting the Next Action by Modeling the Abstract Goal Debaditya Roy Basura Fernando EgoV 26 18 0 12 Sep 2022
DIDER: Discovering Interpretable Dynamically Evolving Relations Enna Sachdeva Chiho Choi 38 2 0 22 Aug 2022
Wildfire Forecasting with Satellite Images and Deep Generative Model T. Hoang Sang Truong Chris Schmidt VGen 24 0 0 19 Aug 2022
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
Estimating counterfactual treatment outcomes over time in complex multiagent scenarios Keisuke Fujii Koh Takeuchi Atsushi Kuribayashi Naoya Takeishi Yoshinobu Kawahara K. Takeda CML 30 14 0 04 Jun 2022
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction Masaki Teranishi Kazushi Tsutsui K. Takeda Keisuke Fujii 32 22 0 04 Jun 2022
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
Variational Heteroscedastic Volatility Model Zexuan Yin P. Barucca AI4TS 21 0 0 11 Apr 2022
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
SocialVAE: Human Trajectory Prediction using Timewise Latents Pei Xu J. Hayet Ioannis Karamouzas 11 84 0 15 Mar 2022
Monitoring Time Series With Missing Values: a Deep Probabilistic Approach Oshri Barazani David Tolpin AI4TS 31 0 0 09 Mar 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 18 0 0 03 Mar 2022
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
Data-to-text Generation with Variational Sequential Planning Ratish Puduppully Yao Fu Mirella Lapata 56 21 0 28 Feb 2022
Flat Latent Manifolds for Human-machine Co-creation of Music Nutan Chen Djalel Benbouzid Francesco Ferroni Mathis Nitschke Luciano Pinna Patrick van der Smagt 11 0 0 23 Feb 2022
Neural Generalised AutoRegressive Conditional Heteroskedasticity Zexuan Yin P. Barucca CML BDL AI4TS 24 2 0 23 Feb 2022