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Structured Inference Networks for Nonlinear State Space Models

30 September 2016

Papers citing "Structured Inference Networks for Nonlinear State Space Models"

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Title
Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy MoviesIEEE International Conference on Computer Vision (ICCV), 2023 E. Ye Yuhang Wang Hong Zhang Y. Gao Huan Wang H. Sun 192 4 0 23 Aug 2023
The Bayesian Context Trees State Space Model for time series modelling and forecastingInternational Journal of Forecasting (IJF), 2023 I. Papageorgiou Ioannis Kontoyiannis AI4TS 186 2 0 02 Aug 2023
Physics-Informed Machine Learning for Modeling and Control of Dynamical SystemsAmerican Control Conference (ACC), 2023 Truong X. Nghiem Ján Drgoňa Colin N. Jones Zoltán Nagy Roland Schwan ... J. Paulson Andrea Carron Melanie Zeilinger Wenceslao Shaw-Cortez D. Vrabie PINN AI4CE 207 57 0 24 Jun 2023
Deep Gaussian Markov Random Fields for Graph-Structured Dynamical SystemsNeural Information Processing Systems (NeurIPS), 2023 Fiona Lippert Bart Kranstauber E. E. V. Loon Patrick Forré BDL AI4CE 163 0 0 14 Jun 2023
Unbiased Learning of Deep Generative Models with Structured Discrete RepresentationsNeural Information Processing Systems (NeurIPS), 2023 H. Bendekgey Gabriel Hope Erik B. Sudderth OCL BDL DRL 160 1 0 14 Jun 2023
DeepGraphDMD: Interpretable Spatio-Temporal Decomposition of Non-linear Functional Brain Network DynamicsInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023 Md Asadullah Turja Martin Styner Guorong Wu AI4CE 171 5 0 05 Jun 2023
DANSE: Data-driven Non-linear State Estimation of Model-free Process in Unsupervised Learning SetupIEEE Transactions on Signal Processing (IEEE TSP), 2023 Anubhab Ghosh Antoine Honoré Saikat Chatterjee 225 34 0 04 Jun 2023
Forecasting Irregularly Sampled Time Series using GraphsAAAI Conference on Artificial Intelligence (AAAI), 2023 Vijaya Krishna Yalavarthi Kiran Madusudanan Randolf Scholz Nourhan Ahmed Johannes Burchert Shayan Jawed Stefan Born Lars Schmidt-Thieme AI4TS 85 2 0 22 May 2023
Cheap and Deterministic Inference for Deep State-Space Models of Interacting Dynamical Systems Andreas Look M. Kandemir Barbara Rakitsch Jan Peters BDL 115 9 0 02 May 2023
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural NetworksIEEE Transactions on Image Processing (IEEE TIP), 2023 R. Borsoi Tales Imbiriba Pau Closas 102 23 0 19 Mar 2023
Machine learning with data assimilation and uncertainty quantification for dynamical systems: a reviewIEEE/CAA Journal of Automatica Sinica (IEEE/CAA JAS), 2023 Sibo Cheng César Quilodrán-Casas Said Ouala A. Farchi Che Liu ... Weiping Ding Wenhan Luo A. Carrassi Marc Bocquet Rossella Arcucci AI4CE 207 201 0 18 Mar 2023
Learning Mixture Structure on Multi-Source Time Series for Probabilistic Forecasting Tianli Guo AI4TS 139 1 0 22 Feb 2023
Entity Aware Modelling: A Survey Rahul Ghosh Haoyu Yang A. Khandelwal Erhu He Arvind Renganathan Somya Sharma X. Jia Vipin Kumar 192 7 0 16 Feb 2023
Neural Continuous-Discrete State Space Models for Irregularly-Sampled Time SeriesInternational Conference on Machine Learning (ICML), 2023 Abdul Fatir Ansari Alvin Heng Andre Lim Harold Soh BDL AI4TS 209 25 0 26 Jan 2023
Towards Flexibility and Interpretability of Gaussian Process State-Space Model Zhidi Lin Feng Yin Juan Maroñas 294 7 0 21 Jan 2023
Towards AI-controlled FES-restoration of arm movements: Controlling for progressive muscular fatigue with Gaussian state-space modelsInternational IEEE/EMBS Conference on Neural Engineering (NER), 2023 Nat Wannawas Aldo A. Faisal 124 6 0 10 Jan 2023
Output-Dependent Gaussian Process State-Space ModelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 Zhidi Lin Lei Cheng Feng Yin Le Xu Shuguang Cui UQCV 162 5 0 15 Dec 2022
Criteria for Classifying Forecasting MethodsInternational Journal of Forecasting (IJF), 2020 Tim Januschowski Jan Gasthaus Bernie Wang David Salinas Valentin Flunkert Michael Bohlke-Schneider Laurent Callot AI4TS 209 195 0 07 Dec 2022
Audio-visual speech enhancement with a deep Kalman filter generative modelIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022 A. Golmakani M. Sadeghi Romain Serizel DiffM 81 8 0 02 Nov 2022
Recurrent Neural Networks and Universal Approximation of Bayesian FiltersInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022 A. Bishop Edwin V. Bonilla BDL 221 4 0 01 Nov 2022
WaveBound: Dynamic Error Bounds for Stable Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2022 Youngin Cho Daejin Kim Dongmin Kim Mohammad Azam Khan Jaegul Choo AI4TS 169 3 0 25 Oct 2022
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning P. Becker Gerhard Neumann 174 10 0 17 Oct 2022
Neural Extended Kalman Filters for Learning and Predicting Dynamics of Structural SystemsStructural Health Monitoring (SHM), 2022 Wen Liu Zhilu Lai Kiran Bacsa Eleni Chatzi 216 28 0 09 Oct 2022
Wildfire Forecasting with Satellite Images and Deep Generative Model T. Hoang Sang Truong Chris Schmidt VGen 126 0 0 19 Aug 2022
Neural modal ordinary differential equations: Integrating physics-based modeling with neural ordinary differential equations for modeling high-dimensional monitored structuresData-Centric Engineering (DE), 2022 Zhilu Lai Wei Liu Xudong Jian Kiran Bacsa Limin Sun Eleni Chatzi AI4CE 151 28 0 16 Jul 2022
Tractable Dendritic RNNs for Reconstructing Nonlinear Dynamical SystemsInternational Conference on Machine Learning (ICML), 2022 Manuela Brenner Florian Hess Jonas M. Mikhaeil Leonard Bereska Zahra Monfared Po-Chen Kuo Daniel Durstewitz AI4CE 394 40 0 06 Jul 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics ScenariosInternational Conference on Learning Representations (ICLR), 2022 Vaisakh Shaj Le Chen Rohit Sonker P. Becker Gerhard Neumann 240 8 0 29 Jun 2022
Learning Deep Input-Output Stable DynamicsNeural Information Processing Systems (NeurIPS), 2022 Yuji Okamoto Ryosuke Kojima OOD 185 6 0 27 Jun 2022
Protoformer: Embedding Prototypes for TransformersPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022 Ashkan Farhangi Ning Sui Nan Hua Haiyan Bai Arthur Huang Zhishan Guo ViT 144 8 0 25 Jun 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time SeriesInternational Conference on Learning Representations (ICLR), 2022 Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 281 67 0 13 Jun 2022
GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension ReductionsJournal of Computational Physics (JCP), 2022 Ryan Lopez P. Atzberger AI4CE 307 9 0 10 Jun 2022
Amortized backward variational inference in nonlinear state-space models Mathis Chagneux Elisabeth Gassiat P. Gloaguen Sylvain Le Corff 160 0 0 01 Jun 2022
Multi-scale Attention Flow for Probabilistic Time Series ForecastingIEEE Transactions on Knowledge and Data Engineering (TKDE), 2022 Shibo Feng Chunyan Miao Ke-Li Xu Jiaxiang Wu Pengcheng Wu Fan Lin P. Zhao BDL AI4TS 154 32 0 16 May 2022
Learning Sequential Latent Variable Models from Multimodal Time Series DataAnnual Meeting of the IEEE Industry Applications Society (IAS Annual Meeting), 2022 Oliver Limoyo Trevor Ablett Jonathan Kelly 175 7 0 21 Apr 2022
Variational Heteroscedastic Volatility Model Zexuan Yin P. Barucca AI4TS 122 1 0 11 Apr 2022
StretchBEV: Stretching Future Instance Prediction Spatially and TemporallyEuropean Conference on Computer Vision (ECCV), 2022 Adil Kaan Akan Fatma Guney 184 56 0 25 Mar 2022
Inverse Online Learning: Understanding Non-Stationary and Reactionary PoliciesInternational Conference on Learning Representations (ICLR), 2022 Alex J. Chan Alicia Curth M. Schaar CML OffRL 156 8 0 14 Mar 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 154 0 0 03 Mar 2022
STEADY: Simultaneous State Estimation and Dynamics Learning from Indirect ObservationsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2022 Jiayi Wei Jarrett Holtz Işıl Dillig Joydeep Biswas 222 4 0 02 Mar 2022
Neural Ordinary Differential Equations for Nonlinear System IdentificationAmerican Control Conference (ACC), 2022 Aowabin Rahman Ján Drgoňa Aaron Tuor J. Strube 290 26 0 28 Feb 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential EquationsConference on Uncertainty in Artificial Intelligence (UAI), 2022 Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 140 2 0 25 Feb 2022
Neural Generalised AutoRegressive Conditional Heteroskedasticity Zexuan Yin P. Barucca CML BDL AI4TS 104 2 0 23 Feb 2022
Enhancing Causal Estimation through Unlabeled Offline DataInternational Conference Frontiers Signal Processing (ICFSP), 2022 Ron Teichner Ron Meir Danny Eitan CML OOD 83 4 0 16 Feb 2022
Bounded nonlinear forecasts of partially observed geophysical systems with physics-constrained deep learning Said Ouala Steven L. Brunton A. Pascual Bertrand Chapron F. Collard L. Gaultier Ronan Fablet PINN AI4TS AI4CE 268 13 0 11 Feb 2022
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral FusionInternational Conference on Machine Learning (ICML), 2022 Ling Yang linda Qiao AI4TS 313 156 0 08 Feb 2022
Low-Rank Constraints for Fast Inference in Structured ModelsNeural Information Processing Systems (NeurIPS), 2022 Justin T. Chiu Yuntian Deng Alexander M. Rush BDL 204 14 0 08 Jan 2022
Linear Variational State-Space Filtering Daniel Pfrommer Nikolai Matni 183 1 0 04 Jan 2022
Estimating the Value-at-Risk by Temporal VAE Robert Sicks S. Grimm R. Korn Ivo Richert 167 7 0 03 Dec 2021
Switching Recurrent Kalman Networks Giao Nguyen-Quynh P. Becker Chen Qiu Maja R. Rudolph Gerhard Neumann BDL 131 4 0 16 Nov 2021
On the Stochastic Stability of Deep Markov Models Ján Drgoňa Sayak Mukherjee Jiaxin Zhang Frank Liu M. Halappanavar BDL 189 8 0 08 Nov 2021