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MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process
v1v2 (latest)

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

International Conference on Learning Representations (ICLR), 2024
9 March 2024
Xinyao Fan
Yueying Wu
Chang Xu
Yu-Hao Huang
Yuante Li
Jiang Bian
    DiffM
ArXiv (abs)PDFHTMLGithub (63★)

Papers citing "MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process"

21 / 21 papers shown
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
SimDiff: Simpler Yet Better Diffusion Model for Time Series Point Forecasting
Hang Ding
Xue Wang
Tian Zhou
Tao Yao
235
0
0
24 Nov 2025
Diffolio: A Diffusion Model for Multivariate Probabilistic Financial Time-Series Forecasting and Portfolio Construction
Diffolio: A Diffusion Model for Multivariate Probabilistic Financial Time-Series Forecasting and Portfolio Construction
So-Yoon Cho
Jin-Young Kim
Kayoung Ban
Hyeng Keun Koo
Hyun-Gyoon Kim
DiffM
150
0
0
10 Nov 2025
Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic
Denoising Refinement Diffusion Models for Simultaneous Generation of Multi-scale Mobile Network Traffic
Xiaoqian Qi
Haoye Chai
Sichang Liu
Lei Yue
Raoyuan Pan
Yue Wang
Yong Li
DiffM
150
0
0
30 Oct 2025
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
CrossAD: Time Series Anomaly Detection with Cross-scale Associations and Cross-window Modeling
Beibu Li
Qichao Shentu
Yang Shu
Hui Zhang
Ming Li
Ning Jin
Bin Yang
Chenjuan Guo
AI4TS
266
4
0
14 Oct 2025
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
DS-Diffusion: Data Style-Guided Diffusion Model for Time-Series Generation
Mingchun Sun
Rongqiang Zhao
Hengrui Hu
Songyu Ding
Jie Liu
DiffM
267
0
0
23 Sep 2025
MGTraj: Multi-Granularity Goal-Guided Human Trajectory Prediction with Recursive Refinement Network
MGTraj: Multi-Granularity Goal-Guided Human Trajectory Prediction with Recursive Refinement Network
Ge Sun
Jun Ma
140
0
0
11 Sep 2025
Diffusion Models for Time Series Forecasting: A Survey
Diffusion Models for Time Series Forecasting: A Survey
Chen Su
Zhengzhou Cai
Yuanhe Tian
Zhuochao Chang
Zihong Zheng
Yan Song
AI4TS
437
4
0
19 Jul 2025
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
CHIME: Conditional Hallucination and Integrated Multi-scale Enhancement for Time Series Diffusion Model
Yuxuan Chen
Haipeng Xie
DiffM
287
2
0
04 Jun 2025
Multimodal Conditioned Diffusive Time Series Forecasting
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
DiffMAI4TS
381
4
0
28 Apr 2025
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series GenerationKnowledge Discovery and Data Mining (KDD), 2025
Bowen Deng
Chang Xu
Haoyang Li
Yuhao Huang
Min Hou
Jiang Bian
MedIm
417
9
0
24 Apr 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
Hao Li
Yu Huang
Chang Xu
Viktor Schlegel
Ren-He Jiang
Riza Batista-Navarro
Goran Nenadic
Jiang Bian
DiffMAI4CE
1.3K
15
0
04 Mar 2025
TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts
TimeDP: Learning to Generate Multi-Domain Time Series with Domain PromptsAAAI Conference on Artificial Intelligence (AAAI), 2025
Yu Huang
Chang Xu
Yueying Wu
Wu-Jun Li
Jiang Bian
DiffM
311
16
0
10 Jan 2025
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion Models
InvDiff: Invariant Guidance for Bias Mitigation in Diffusion ModelsKnowledge Discovery and Data Mining (KDD), 2024
Min Hou
Yueying Wu
Chang Xu
Yu Huang
Chenxi Bai
Le Wu
Jiang Bian
478
7
0
11 Dec 2024
Series-to-Series Diffusion Bridge Model
Series-to-Series Diffusion Bridge Model
Hao Yang
Zhanbo Feng
Feng Zhou
Robert C. Qiu
Zenan Ling
AI4TSDiffM
377
2
0
07 Nov 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
Retrieval-Augmented Diffusion Models for Time Series ForecastingNeural Information Processing Systems (NeurIPS), 2024
Jingwei Liu
Ling Yang
Hongyan Li
Shenda Hong
DiffMAI4TS
270
30
0
24 Oct 2024
ANT: Adaptive Noise Schedule for Time Series Diffusion Models
ANT: Adaptive Noise Schedule for Time Series Diffusion ModelsNeural Information Processing Systems (NeurIPS), 2024
Seunghan Lee
Kibok Lee
Taeyoung Park
AI4TSDiffM
332
13
0
18 Oct 2024
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation
Daoyu Wang
Mingyue Cheng
Ziqiang Liu
Qiang Liu
AI4TSDiffM
601
1
0
08 Oct 2024
Channel-aware Contrastive Conditional Diffusion for Multivariate
  Probabilistic Time Series Forecasting
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting
Siyang Li
Yize Chen
Hui Xiong
DiffMAI4TS
329
1
0
03 Oct 2024
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical
  Multi-Indicator Forecasting and Bayesian Decision-Making
Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making
Die Chen
Zhiwen Li
Mingyuan Fan
Cen Chen
Wenmeng Zhou
Lintao Ma
Guihai Chen
310
5
0
02 Aug 2024
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting
Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series Forecasting
Yuansan Liu
S. Wijewickrema
Dongting Hu
C. Bester
Stephen O'Leary
James Bailey
MedImDiffM
344
3
0
05 Jun 2024
Rethinking Channel Dependence for Multivariate Time Series Forecasting:
  Learning from Leading Indicators
Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators
Lifan Zhao
Yanyan Shen
AI4TSAIFin
461
46
0
31 Jan 2024
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