Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs

4 October 2023

Papers citing "Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs"

9 / 9 papers shown

Title
A Deep State Space Model for Rainfall-Runoff Simulations Yihan Wang Lujun Zhang Annan Yu N. Benjamin Erichson Tiantian Yang 47 1 0 28 Jan 2025
Balanced Neural ODEs: nonlinear model order reduction and Koopman operator approximations Julius Aka Johannes Brunnemann Jörg Eiden Arne Speerforck Lars Mikelsons 28 0 0 14 Oct 2024
UNITS: A Unified Multi-Task Time Series Model Shanghua Gao Teddy Koker Owen Queen Thomas Hartvigsen Theodoros Tsiligkaridis Marinka Zitnik AI4TS 38 15 0 29 Feb 2024
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 52 5 0 19 Sep 2023
Resurrecting Recurrent Neural Networks for Long Sequences Antonio Orvieto Samuel L. Smith Albert Gu Anushan Fernando Çağlar Gülçehre Razvan Pascanu Soham De 88 265 0 11 Mar 2023
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Rui Wang Yihe Dong Sercan Ö. Arik Rose Yu AI4TS 31 22 0 07 Oct 2022
GT-GAN: General Purpose Time Series Synthesis with Generative Adversarial Networks Jinsung Jeon Jeonghak Kim Haryong Song Seunghyeon Cho Noseong Park AI4TS 79 42 0 05 Oct 2022
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 207 1,895 0 06 Jun 2016