GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series

29 May 2019

Papers citing "GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series"

50 / 172 papers shown

Title
Continuous-time identification of dynamic state-space models by deep subspace encoding G. Beintema Maarten Schoukens R. Tóth 17 11 0 20 Apr 2022
LORD: Lower-Dimensional Embedding of Log-Signature in Neural Rough Differential Equations Jaehoon Lee Jinsung Jeon Sheo Yon Jhin Jihyeon Hyeong Jayoung Kim Minju Jo Kook Seungji Noseong Park AI4TS 10 2 0 19 Apr 2022
EXIT: Extrapolation and Interpolation-based Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin Jaehoon Lee Minju Jo Seung-Uk Kook Jinsung Jeon Jihyeon Hyeong Jayoung Kim Noseong Park AI4TS 30 19 0 19 Apr 2022
Path Development Network with Finite-dimensional Lie Group Representation Han Lou Siran Li Hao Ni 11 7 0 02 Apr 2022
Parallel Training of GRU Networks with a Multi-Grid Solver for Long Sequences G. Moon E. Cyr 25 5 0 07 Mar 2022
Capturing Actionable Dynamics with Structured Latent Ordinary Differential Equations Paidamoyo Chapfuwa Sherri Rose Lawrence Carin Edward Meeds Ricardo Henao CML 20 1 0 25 Feb 2022
Predicting the impact of treatments over time with uncertainty aware neural differential equations E. Brouwer J. Hernández Stephanie L. Hyland OOD CML 22 25 0 24 Feb 2022
Continuous Forecasting via Neural Eigen Decomposition Stav Belogolovsky Ido Greenberg Danny Eitan Shie Mannor AI4TS 11 2 0 31 Jan 2022
Forecasting emissions through Kaya identity using Neural Ordinary Differential Equations Pierre Browne Aranildo R. Lima Rossella Arcucci César Quilodrán-Casas 9 0 0 07 Jan 2022
Neural Piecewise-Constant Delay Differential Equations Qunxi Zhu Yifei Shen Dongsheng Li Wei-Jer Lin PINN 25 6 0 04 Jan 2022
Continuous-Time Video Generation via Learning Motion Dynamics with Neural ODE Kangyeol Kim Sunghyun Park Junsoo Lee Joonseok Lee Sookyung Kim Jaegul Choo E. Choi DiffM 16 1 0 21 Dec 2021
Neural Point Process for Learning Spatiotemporal Event Dynamics Zihao Zhou Xingyi Yang Ryan A. Rossi Handong Zhao Rose Yu 3DPC 20 32 0 12 Dec 2021
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 26 8 0 03 Dec 2021
Characteristic Neural Ordinary Differential Equations Xingzi Xu Ali Hasan Khalil Elkhalil Jie Ding Vahid Tarokh BDL 26 3 0 25 Nov 2021
Learning dynamical systems from data: A simple cross-validation perspective, part III: Irregularly-Sampled Time Series Jonghyeon Lee E. Brouwer B. Hamzi H. Owhadi AI4TS 11 19 0 25 Nov 2021
Modeling Irregular Time Series with Continuous Recurrent Units Mona Schirmer Mazin Eltayeb Stefan Lessmann Maja R. Rudolph BDL AI4TS 22 83 0 22 Nov 2021
Climate Modeling with Neural Diffusion Equations JeeHyun Hwang Jeongwhan Choi Hwan-Kyu Choi Kookjin Lee Dongeun Lee Noseong Park DiffM 19 22 0 11 Nov 2021
Efficiently Modeling Long Sequences with Structured State Spaces Albert Gu Karan Goel Christopher Ré 52 1,654 0 31 Oct 2021
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers Albert Gu Isys Johnson Karan Goel Khaled Kamal Saab Tri Dao Atri Rudra Christopher Ré 43 547 0 26 Oct 2021
Neural Flows: Efficient Alternative to Neural ODEs Marin Bilovs Johanna Sommer Syama Sundar Rangapuram Tim Januschowski Stephan Günnemann AI4TS 16 70 0 25 Oct 2021
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series Futoon M. Abushaqra Hao Xue Yongli Ren Flora D. Salim AI4TS 30 3 0 30 Sep 2021
Attentive Neural Controlled Differential Equations for Time-series Classification and Forecasting Sheo Yon Jhin H. Shin Seoyoung Hong Solhee Park Noseong Park AI4TS 19 22 0 04 Sep 2021
LightMove: A Lightweight Next-POI Recommendation for Taxicab Rooftop Advertising Jinsung Jeon Soyoung Kang Minju Jo Seunghyeon Cho Noseong Park Seonghoon Kim Chiyoung Song 28 16 0 11 Aug 2021
Analysis of ODE2VAE with Examples Batuhan Koyuncu DRL 8 0 0 10 Aug 2021
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin BDL AI4TS 23 0 0 23 Jul 2021
Auto-differentiable Ensemble Kalman Filters Yuming Chen D. Sanz-Alonso Rebecca Willett 39 33 0 16 Jul 2021
Neural Controlled Differential Equations for Online Prediction Tasks James Morrill Patrick Kidger Lingyi Yang Terry Lyons AI4TS 25 40 0 21 Jun 2021
Integrating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression Zhaozhi Qian W. Zame L. Fleuren Paul Elbers M. Schaar OOD 19 53 0 05 Jun 2021
Framing RNN as a kernel method: A neural ODE approach Adeline Fermanian P. Marion Jean-Philippe Vert Gérard Biau 23 25 0 02 Jun 2021
ACE-NODE: Attentive Co-Evolving Neural Ordinary Differential Equations Sheo Yon Jhin Minju Jo Taeyong Kong Jinsung Jeon Noseong Park BDL 19 13 0 31 May 2021
Efficient and Accurate Gradients for Neural SDEs Patrick Kidger James Foster Xuechen Li Terry Lyons DiffM 24 60 0 27 May 2021
Segmenting Hybrid Trajectories using Latent ODEs Ruian Shi Q. Morris BDL 14 6 0 09 May 2021
Spatiotemporal Data Mining: A Survey on Challenges and Open Problems Ali Hamdi Khaled Shaban A. Erradi Amr Mohamed Shakila Khan Rumi Flora D. Salim AI4TS 26 98 0 31 Mar 2021
Neural ODE Processes Alexander Norcliffe Cristian Bodnar Ben Day Jacob Moss Pietro Lió BDL AI4TS 25 63 0 23 Mar 2021
Meta-Solver for Neural Ordinary Differential Equations Julia Gusak A. Katrutsa Talgat Daulbaev A. Cichocki Ivan V. Oseledets 11 2 0 15 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen S. Davidson AI4TS 20 49 0 03 Mar 2021
Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations Winnie Xu Ricky T. Q. Chen Xuechen Li D. Duvenaud BDL UQCV 21 46 0 12 Feb 2021
NRTSI: Non-Recurrent Time Series Imputation Siyuan Shan Yang Li Junier B. Oliva AI4TS 19 36 0 05 Feb 2021
CKConv: Continuous Kernel Convolution For Sequential Data David W. Romero Anna Kuzina Erik J. Bekkers Jakub M. Tomczak Mark Hoogendoorn 20 123 0 04 Feb 2021
Policy Analysis using Synthetic Controls in Continuous-Time Alexis Bellot M. Schaar OffRL 19 17 0 02 Feb 2021
Multi-Time Attention Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 108 184 0 25 Jan 2021
Crop Classification under Varying Cloud Cover with Neural Ordinary Differential Equations Nando Metzger Mehmet Özgür Türkoglu Stefano Dáronco Jan Dirk Wegner Konrad Schindler BDL AI4TS 6 29 0 04 Dec 2020
Deep dynamic modeling with just two time points: Can we still allow for individual trajectories? Maren Hackenberg Philipp Harms Michelle Pfaffenlehner Astrid Pechmann Janbernd Kirschner Thorsten Schmidt Harald Binder 6 4 0 01 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 8 43 0 30 Nov 2020
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction Penglei Gao Xi Yang Rui Zhang Kaizhu Huang AI4TS 8 15 0 26 Nov 2020
A non-autonomous equation discovery method for time signal classification Ryeongkyung Yoon Harish S. Bhat Braxton Osting 17 2 0 22 Nov 2020
Longitudinal modeling of MS patient trajectories improves predictions of disability progression E. Brouwer Thijs Becker Yves Moreau E. Havrdová M. Trojano ... D. Maimone R. Gouider T. Csépány C. Ramo-Tello L. Peeters 15 1 0 09 Nov 2020
Deep learning prediction of patient response time course from early data via neural-pharmacokinetic/pharmacodynamic modeling James Lu B. Bender Jin Y. Jin Y. Guan 25 46 0 22 Oct 2020
Variational Dynamic Mixtures Chen Qiu Stephan Mandt Maja R. Rudolph BDL AI4TS 16 2 0 20 Oct 2020
Neural Ordinary Differential Equations for Intervention Modeling Daehoon Gwak Gyuhyeon Sim Michael Poli Stefano Massaroli Jaegul Choo E. Choi 37 19 0 16 Oct 2020