Multifactor Sequential Disentanglement via Structured Koopman
Autoencoders

Multifactor Sequential Disentanglement via Structured Koopman Autoencoders

30 March 2023

Papers citing "Multifactor Sequential Disentanglement via Structured Koopman Autoencoders"

19 / 19 papers shown

Title
Augmented Invertible Koopman Autoencoder for long-term time series forecasting Anthony Frion Lucas Drumetz M. Dalla Mura Guillaume Tochon Abdeldjalil Aissa El Bey AI4TS 46 0 0 17 Mar 2025
Utilizing Image Transforms and Diffusion Models for Generative Modeling of Short and Long Time Series Ilan Naiman Nimrod Berman Itai Pemper Idan Arbiv Gal Fadlon Omri Azencot 27 8 0 25 Oct 2024
Analyzing Deep Transformer Models for Time Series Forecasting via Manifold Learning Ilya Kaufman Omri Azencot AI4TS 29 2 0 17 Oct 2024
When Graph Neural Networks Meet Dynamic Mode Decomposition Dai Shi Lequan Lin Andi Han Zhiyong Wang Yi Guo Junbin Gao AI4CE 23 0 0 08 Oct 2024
Unsupervised Representation Learning from Sparse Transformation Analysis Yue Song Thomas Anderson Keller Yisong Yue Pietro Perona Max Welling DRL 29 0 0 07 Oct 2024
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators Ashutosh Singh Ashish Singh Tales Imbiriba Deniz Erdogmus R. Borsoi AI4TS AI4CE 42 1 0 29 Sep 2024
Sequential Representation Learning via Static-Dynamic Conditional Disentanglement Mathieu Cyrille Simon Pascal Frossard Christophe De Vleeschouwer CoGe CML 24 1 0 10 Aug 2024
Self-Supervised Video Representation Learning in a Heuristic Decoupled Perspective Zeen Song Jingyao Wang Jianqi Zhang Changwen Zheng Wenwen Qiang SSL 54 0 0 19 Jul 2024
Sequential Disentanglement by Extracting Static Information From A Single Sequence Element Nimrod Berman Ilan Naiman Idan Arbiv Gal Fadlon Omri Azencot CoGe 29 4 0 26 Jun 2024
First-Order Manifold Data Augmentation for Regression Learning Ilya Kaufman Omri Azencot 18 3 0 16 Jun 2024
Phase autoencoder for limit-cycle oscillators K. Yawata Kai Fukami Kunihiko Taira Hiroya Nakao 24 7 0 28 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 15 6 0 25 Jan 2024
Temporally Disentangled Representation Learning under Unknown Nonstationarity Xiangchen Song Weiran Yao Yewen Fan Xinshuai Dong Guan-Hong Chen Juan Carlos Niebles Eric P. Xing Kun Zhang CML OOD 23 12 0 28 Oct 2023
Generative Modeling of Regular and Irregular Time Series Data via Koopman VAEs Ilan Naiman N. Benjamin Erichson Pu Ren Lbnl Michael W. Mahoney ICSI Omri Azencot AI4TS 11 18 0 04 Oct 2023
Koopman Invertible Autoencoder: Leveraging Forward and Backward Dynamics for Temporal Modeling Kshitij Tayal Arvind Renganathan Rahul Ghosh X. Jia Vipin Kumar SyDa AI4CE 44 5 0 19 Sep 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 19 101 0 30 May 2023
Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation Ilana D Naiman Nimrod Berman Omri Azencot DRL 16 6 0 25 May 2023
Self-Supervised Decomposition, Disentanglement and Prediction of Video Sequences while Interpreting Dynamics: A Koopman Perspective Armand Comas Massague S. Ghimire Haolin Li M. Sznaier Octavia Camps 12 2 0 01 Oct 2021
Disentangled Recurrent Wasserstein Autoencoder Jun Han Martin Renqiang Min Ligong Han Erran L. Li Xuan Zhang CoGe SyDa DRL 27 33 0 19 Jan 2021