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FRIREN: Beyond Trajectories -- A Spectral Lens on Time
v1v2v3v4 (latest)

FRIREN: Beyond Trajectories -- A Spectral Lens on Time

23 May 2025
Qilin Wang
    AI4TS
ArXiv (abs)PDFHTML

Papers citing "FRIREN: Beyond Trajectories -- A Spectral Lens on Time"

11 / 11 papers shown
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
TimeMixer: Decomposable Multiscale Mixing for Time Series ForecastingInternational Conference on Learning Representations (ICLR), 2024
Shiyu Wang
Haixu Wu
Xiaoming Shi
Tengge Hu
Huakun Luo
Lintao Ma
James Y. Zhang
Jun-ping Zhou
AI4TS
353
392
0
23 May 2024
Attractor Memory for Long-Term Time Series Forecasting: A Chaos
  Perspective
Attractor Memory for Long-Term Time Series Forecasting: A Chaos Perspective
Jiaxi Hu
Yuehong Hu
Wei Chen
Ming Jin
Shirui Pan
Qingsong Wen
Yuxuan Liang
AI4TS
448
18
0
18 Feb 2024
A decoder-only foundation model for time-series forecasting
A decoder-only foundation model for time-series forecasting
Abhimanyu Das
Weihao Kong
Rajat Sen
Yichen Zhou
AI4TSAI4CE
588
454
0
14 Oct 2023
Learning Gradients of Convex Functions with Monotone Gradient Networks
Learning Gradients of Convex Functions with Monotone Gradient NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Shreyas Chaudhari
Srinivasa Pranav
J. M. F. Moura
233
9
0
25 Jan 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
A Time Series is Worth 64 Words: Long-term Forecasting with TransformersInternational Conference on Learning Representations (ICLR), 2022
Yuqi Nie
Nam H. Nguyen
Phanwadee Sinthong
Jayant Kalagnanam
AIFinAI4TS
740
2,598
0
27 Nov 2022
Are Transformers Effective for Time Series Forecasting?
Are Transformers Effective for Time Series Forecasting?AAAI Conference on Artificial Intelligence (AAAI), 2022
Ailing Zeng
Mu-Hwa Chen
L. Zhang
Qiang Xu
AI4TS
486
2,715
0
26 May 2022
Autoformer: Decomposition Transformers with Auto-Correlation for
  Long-Term Series Forecasting
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting
Haixu Wu
Jiehui Xu
Jianmin Wang
Mingsheng Long
AI4TS
507
3,726
0
24 Jun 2021
Modern Koopman Theory for Dynamical Systems
Modern Koopman Theory for Dynamical SystemsSIAM Review (SIAM Rev.), 2021
Steven L. Brunton
M. Budišić
E. Kaiser
J. Nathan Kutz
AI4CE
320
561
0
24 Feb 2021
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows
  and Latent Variable Models
Augmented Normalizing Flows: Bridging the Gap Between Generative Flows and Latent Variable Models
Chin-Wei Huang
Laurent Dinh
Aaron Courville
DRL
300
92
0
17 Feb 2020
A Geometric View of Optimal Transportation and Generative Model
A Geometric View of Optimal Transportation and Generative Model
Na Lei
Kehua Su
Li-min Cui
S. Yau
X. Gu
GANOT
224
140
0
16 Oct 2017
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
4.2K
161,538
0
12 Jun 2017
1