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Multi-scale Attention Flow for Probabilistic Time Series Forecasting

Multi-scale Attention Flow for Probabilistic Time Series Forecasting

16 May 2022
Shibo Feng
Chunyan Miao
Ke-Li Xu
Jiaxiang Wu
Pengcheng Wu
Fan Lin
P. Zhao
    BDL
    AI4TS
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Papers citing "Multi-scale Attention Flow for Probabilistic Time Series Forecasting"

13 / 13 papers shown
Title
Multimodal Conditioned Diffusive Time Series Forecasting
Multimodal Conditioned Diffusive Time Series Forecasting
Chen Su
Yuanhe Tian
Yan Song
DiffM
AI4TS
60
0
0
28 Apr 2025
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting
  Method Using Mamba
UmambaTSF: A U-shaped Multi-Scale Long-Term Time Series Forecasting Method Using Mamba
Li Wu
Wenbin Pei
Jiulong Jiao
Qiang Zhang
Mamba
AI4TS
38
2
0
15 Oct 2024
ContextFlow++: Generalist-Specialist Flow-based Generative Models with
  Mixed-Variable Context Encoding
ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding
Denis A. Gudovskiy
Tomoyuki Okuno
Yohei Nakata
MoE
AI4CE
36
2
0
02 Jun 2024
Physics-Informed Real NVP for Satellite Power System Fault Detection
Physics-Informed Real NVP for Satellite Power System Fault Detection
Carlo Cena
Umberto Albertin
Mauro Martini
Silvia Bucci
Marcello Chiaberge
22
4
0
27 May 2024
Label-Free Multivariate Time Series Anomaly Detection
Label-Free Multivariate Time Series Anomaly Detection
Qihang Zhou
Shibo He
Haoyu Liu
Jiming Chen
Wenchao Meng
AI4TS
24
10
0
17 Dec 2023
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard
  Skeleton Mining for Unsupervised Person Re-Identification
Hierarchical Skeleton Meta-Prototype Contrastive Learning with Hard Skeleton Mining for Unsupervised Person Re-Identification
Haocong Rao
Cyril Leung
Steven C. H. Hoi
3DH
34
8
0
24 Jul 2023
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Probabilistic Learning of Multivariate Time Series with Temporal Irregularity
Yijun Li
Cheuk Hang Leung
Qi Wu
AI4TS
26
1
0
15 Jun 2023
W-Transformers : A Wavelet-based Transformer Framework for Univariate
  Time Series Forecasting
W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting
Zakaria Elabid
Tanujit Chakraborty
Abdenour Hadid
AI4TS
40
20
0
08 Sep 2022
Detecting Multivariate Time Series Anomalies with Zero Known Label
Detecting Multivariate Time Series Anomalies with Zero Known Label
Qihang Zhou
Jiming Chen
Haoyu Liu
Shibo He
Wenchao Meng
AI4TS
32
22
0
03 Aug 2022
A Survey on Non-Autoregressive Generation for Neural Machine Translation
  and Beyond
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond
Yisheng Xiao
Lijun Wu
Junliang Guo
Juntao Li
Hao Fei
Tao Qin
Tie-Yan Liu
3DV
MedIm
AI4CE
32
82
0
20 Apr 2022
Learning Interpretable Deep State Space Model for Probabilistic Time
  Series Forecasting
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting
Longyuan Li
Junchi Yan
Xiaokang Yang
Yaohui Jin
OOD
BDL
AI4TS
45
60
0
31 Jan 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series
  Forecasting
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Haoyi Zhou
Shanghang Zhang
J. Peng
Shuai Zhang
Jianxin Li
Hui Xiong
Wan Zhang
AI4TS
169
3,900
0
14 Dec 2020
Big Bird: Transformers for Longer Sequences
Big Bird: Transformers for Longer Sequences
Manzil Zaheer
Guru Guruganesh
Kumar Avinava Dubey
Joshua Ainslie
Chris Alberti
...
Philip Pham
Anirudh Ravula
Qifan Wang
Li Yang
Amr Ahmed
VLM
285
2,017
0
28 Jul 2020
1