Causal Recurrent Variational Autoencoder for Medical Time Series
Generation

Causal Recurrent Variational Autoencoder for Medical Time Series Generation

16 January 2023

José C. Príncipe

Papers citing "Causal Recurrent Variational Autoencoder for Medical Time Series Generation"

19 / 19 papers shown

Title
Likelihood-Free Variational Autoencoders Chen Xu Qiang Wang Lijun Sun DiffM DRL 80 0 0 24 Apr 2025
Brain Effective Connectivity Estimation via Fourier Spatiotemporal Attention Wen Xiong Jinduo Liu Junzhong Ji Fenglong Ma 57 0 0 14 Mar 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Yu Huang Chang Xu Yueying Wu Wu-Jun Li Jiang Bian DiffM 32 3 0 10 Jan 2025
Peri-midFormer: Periodic Pyramid Transformer for Time Series Analysis Qiang Wu Gechang Yao Zhixi Feng Shuyuan Yang AI4TS 21 1 0 07 Nov 2024
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 32 11 0 25 Oct 2024
Generative AI for Synthetic Data Across Multiple Medical Modalities: A Systematic Review of Recent Developments and Challenges Mahmoud Ibrahim Yasmina Al Khalil S. Amirrajab Chang Sun M. Breeuwer J. Pluim Bart Elen Gokhan Ertaylan Michel Dumontier SyDa MedIm 33 7 0 27 Jun 2024
Learning Flexible Time-windowed Granger Causality Integrating Heterogeneous Interventional Time Series Data Ziyi Zhang Shaogang Ren Xiaoning Qian Nick Duffield AI4TS CML 35 3 0 14 Jun 2024
Jacobian Regularizer-based Neural Granger Causality Wanqi Zhou Shuanghao Bai Shujian Yu Qibin Zhao Badong Chen CML 33 3 0 14 May 2024
Towards Controllable Time Series Generation Yifan Bao Yihao Ang Qiang Huang Anthony K. H. Tung Zhiyong Huang DiffM 43 4 0 06 Mar 2024
Embracing the black box: Heading towards foundation models for causal discovery from time series data Gideon Stein M. Shadaydeh Joachim Denzler CML AI4TS 18 1 0 14 Feb 2024
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 21 7 0 18 Dec 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 19 18 0 04 Oct 2023
TSGBench: Time Series Generation Benchmark Yihao Ang Qiang Huang Yifan Bao Anthony K. H. Tung Zhiyong Huang AI4TS 28 16 0 07 Sep 2023
Fully Embedded Time-Series Generative Adversarial Networks Joe Beck S. Chakraborty GAN TTA AI4TS 22 2 0 30 Aug 2023
Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatio-temporal Forecasting G. Liang Prayag Tiwari Sławomir Nowaczyk Stefan Byttner F. Alonso-Fernandez DiffM 39 12 0 16 May 2023
Causal Discovery from Temporal Data: An Overview and New Perspectives Chang Gong Di Yao Chuzhe Zhang Wenbin Li Jingping Bi AI4TS CML 16 17 0 17 Mar 2023
Deep Causal Learning: Representation, Discovery and Inference Zizhen Deng Xiaolong Zheng Hu Tian D. Zeng CML BDL 31 11 0 07 Nov 2022
Pruning and Quantization for Deep Neural Network Acceleration: A Survey Tailin Liang C. Glossner Lei Wang Shaobo Shi Xiaotong Zhang MQ 124 673 0 24 Jan 2021
C-RNN-GAN: Continuous recurrent neural networks with adversarial training Olof Mogren GAN 77 512 0 29 Nov 2016