From Vector Autoregressions to AI-based Time Series Forecasting: A Review | Paper Citation Record

Observation 2d82fe09-b15e-41b9-ad73-fb2aa9534141 · outbound

This paper cites GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation

Reference 1

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Observation bd6c8e0a-f1a8-48cb-af12-27ed150580c7 · outbound

This paper cites Diffusion-based time series imputation and forecasting with structured state space models.Transactions on Machine Learning Research (TMLR), 2023.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Diffusion-based time series imputation and forecasting with structured state space models.Transactions on Machine Learning Research (TMLR), 2023

Reference 2

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Observation 4ca5e80a-6af7-43db-979c-0527943b2d15 · outbound

This paper cites Maddix, Hao Wang, Michael W.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Maddix, Hao Wang, Michael W

Reference 3

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This paper cites Chronos-2: From Univariate to Universal Forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Chronos-2: From Univariate to Universal Forecasting

Reference 4

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Observation ad5a35fe-b103-44ca-bff7-f6249a5b99eb · outbound

This paper cites Determining the number of factors in approximate factor models.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Determining the number of factors in approximate factor models

Reference 5

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Observation 92154ab6-86a3-4eaa-9b7a-4ef9e48904ee · outbound

This paper cites Large Bayesian vector auto regressions.Journal of Applied Econometrics, 25(1):71–92, 2010.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Large Bayesian vector auto regressions.Journal of Applied Econometrics, 25(1):71–92, 2010

Reference 6

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Observation 0a923ffa-18e1-4260-b8ea-c4bde76650fc · outbound

This paper cites Regularized estimation in sparse high-dimensional time series models.The Annals of Statistics, 43(4):1535–1567, 2015.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Regularized estimation in sparse high-dimensional time series models.The Annals of Statistics, 43(4):1535–1567, 2015

Reference 7

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Observation a8235800-dd8b-4f83-b497-9f74fa57a28a · outbound

This paper cites The dynamic effects of aggregate demand and supply disturbances.The American Economic Review, 79(4):655–673, 1989.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review The dynamic effects of aggregate demand and supply disturbances.The American Economic Review, 79(4):655–673, 1989

Reference 8

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Observation db4a978d-2878-4fc2-b2bf-2bff4b1633b2 · outbound

This paper cites Olivares, Boris N.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Olivares, Boris N

Reference 9

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Observation 3332da3b-f813-4626-973e-646dbf320f23 · outbound

This paper cites Fitting time series models to nonstationary processes.The Annals of Statistics, 25(1):1–37, 1997.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Fitting time series models to nonstationary processes.The Annals of Statistics, 25(1):1–37, 1997

Reference 10

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Observation 5911ce48-ea2b-43fb-9b6a-09920ee82c1f · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review A decoder-only foundation model for time-series forecasting

Reference 11

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Observation fddcf433-3b31-450f-8280-00af26567436 · outbound

This paper cites Dickey and Wayne A.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Dickey and Wayne A

Reference 12

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Observation 2fbd6bb4-f38f-4b0a-99fb-f2f135685b48 · outbound

This paper cites Engle and C.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Engle and C

Reference 13

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Observation 79012845-93fd-4cd2-800a-6d7ff4798bd6 · outbound

This paper cites MG-TSD: Multi-granularity time series diffusion models with guided learning process.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review MG-TSD: Multi-granularity time series diffusion models with guided learning process

Reference 14

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Observation 6d1445e0-d618-4f7d-8aa0-8ceba1a25c1e · outbound

This paper cites Wild binary segmentation for multiple change-point detection.The Annals of Statistics, 42(6):2243–2281, 2014.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Wild binary segmentation for multiple change-point detection.The Annals of Statistics, 42(6):2243–2281, 2014

Reference 15

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Observation 93e2fa8e-238c-4dbb-923d-91d11d9dd8ac · outbound

This paper cites TimeGPT-1.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review TimeGPT-1

Reference 16

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Observation ffd9bad8-5297-4b3a-a497-ef0e0635a119 · outbound

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

Reference 17

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Observation ef937d67-2576-4022-ab50-f955ce2b7830 · outbound

This paper cites Granger and P.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Granger and P

Reference 18

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Observation 1389bcbd-e7bb-451b-bd6d-4b342d530ed1 · outbound

This paper cites Efficiently modeling long sequences with structured state spaces.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Efficiently modeling long sequences with structured state spaces

Reference 19

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Observation c56176ae-7188-4155-86f8-8b4c492be952 · outbound

This paper cites Hamilton.Time Series Analysis.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Hamilton.Time Series Analysis

Reference 20

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Observation 7c588054-ea28-48c5-8411-edc5aa993023 · outbound

This paper cites Denoising diffusion probabilistic models.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Denoising diffusion probabilistic models

Reference 21

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Observation 39c931d5-8edf-4921-8b59-9e44f9b190a9 · outbound

This paper cites Hyndman and Yeasmin Khandakar.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Hyndman and Yeasmin Khandakar

Reference 22

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Observation f653c7b0-828c-4192-8cf3-ec288b2aacbf · outbound

This paper cites Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models.Econometrica, 59(6):1551–1580, 1991.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Estimation and hypothesis testing of cointegration vectors in gaussian vector autoregressive models.Econometrica, 59(6):1551–1580, 1991

Reference 23

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Observation 8b4b1ef5-3747-4dad-a9ad-bb30f4f62f19 · outbound

This paper cites Oxford University Press, 1995.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Oxford University Press, 1995

Reference 24

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Observation bb6baab9-f3ba-465f-8aae-64c29a3eaae8 · outbound

This paper cites Cambridge University Press, 2017.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Cambridge University Press, 2017

Reference 25

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Observation 7837b4e5-42ef-4b80-8ca4-3ad6aa135dd6 · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distribution shift.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Reversible instance normalization for accurate time-series forecasting against distribution shift

Reference 26

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Observation 61b0d685-2f96-49cc-9af8-343292c06fd6 · outbound

This paper cites Oracle inequalities for high dimensional vector autoregressions.Journal of Econometrics, 186(2):325–344, 2015.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Oracle inequalities for high dimensional vector autoregressions.Journal of Econometrics, 186(2):325–344, 2015

Reference 27

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This paper cites Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Predict, refine, synthesize: Self-guiding diffusion models for probabilistic time series forecasting

Reference 28

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Observation fc6a7a5c-42a8-461a-b465-aaa05872f188 · outbound

This paper cites Ant: Adaptive noise schedule for time series diffusion models.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Ant: Adaptive noise schedule for time series diffusion models

Reference 29

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This paper cites Automatic change-point detection in time series via deep learning.Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(2):273–285, 2024.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Automatic change-point detection in time series via deep learning.Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(2):273–285, 2024

Reference 30

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This paper cites Generative time series forecasting with diffusion, denoise, and disentanglement.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Generative time series forecasting with diffusion, denoise, and disentanglement

Reference 31

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This paper cites Transformer-modulated diffusion models for probabilistic multivariate time series forecast- ing.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Transformer-modulated diffusion models for probabilistic multivariate time series forecast- ing

Reference 32

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

Reference 33

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Litterman

Reference 34

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Observation 9dba1124-8bce-47a9-9549-738d0a51f15a · outbound

This paper cites Moirai 2.0: When less is more for time series forecasting.arXiv preprint arXiv:2511.11698, 2025.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Moirai 2.0: When less is more for time series forecasting.arXiv preprint arXiv:2511.11698, 2025

Reference 35

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 36

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This paper cites Non-stationary transformers: Exploring the stationarity in time series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Non-stationary transformers: Exploring the stationarity in time series forecasting

Reference 37

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This paper cites iTransformer: Inverted transformers are effective for time series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review iTransformer: Inverted transformers are effective for time series forecasting

Reference 38

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This paper cites Springer, 2005.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Springer, 2005

Reference 39

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Stock, and Mark W

Reference 40

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This paper cites The Rise of Diffusion Models in Time-Series Forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review The Rise of Diffusion Models in Time-Series Forecasting

Reference 41

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Transformers can do Bayesian inference

Reference 42

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Nguyen, Phanwadee Sinthong, and Jayant Kalagnanam

Reference 43

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Oreshkin, Dmitri Carpov, Nicolas Chapados, and Yoshua Bengio

Reference 44

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

Reference 45

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Observation 4edef19e-2271-49af-a671-a8b0e1e477d3 · outbound

This paper cites Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Autoregressive denois- ing diffusion models for multivariate probabilistic time series forecasting

Reference 46

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 47

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This paper cites DeepAR: Prob- abilistic forecasting with autoregressive recurrent networks.International Journal of Fore- casting, 36(3):1181–1191, 2020.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review DeepAR: Prob- abilistic forecasting with autoregressive recurrent networks.International Journal of Fore- casting, 36(3):1181–1191, 2020

Reference 48

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

Reference 49

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Observation 29ee9402-8721-4149-8531-bccf0ef37216 · outbound

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

Reference 50

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Time-MoE: Billion-scale time series foundation models with mixture of experts

Reference 51

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Observation 9155a6f1-e7fe-49dc-9843-1907d05fb895 · outbound

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unresolved cited work

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 53

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Denoising diffusion implicit models

Reference 54

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Generative modeling by estimating gradients of the data distribution

Reference 55

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This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 56

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Consistency models

Reference 57

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Observation edb7b455-16fe-482a-9f6c-1d63e8a4f809 · outbound

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review Stock and Mark W

Reference 58

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Observation 8c0770e8-5b0c-4efc-8b3d-91c57f64c02f · outbound

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From Vector Autoregressions to AI-based Time Series Forecasting: A Review CSDI: Conditional score- based diffusion models for probabilistic time series imputation

Reference 59

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Observation 4dffe5de-263c-4777-be56-0eb97b93be35 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 60

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Observation a4be5d66-aa01-42d1-8ac4-cfaa63844ebe · outbound

This paper cites Transformersintimeseries: Asurvey.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Transformersintimeseries: Asurvey

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.510705Z

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Observation 19b05bf1-9a2c-4835-b31b-2d71403325b8 · outbound

This paper cites The learnability of in-context learning.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review The learnability of in-context learning

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.568183Z

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Observation 664374b4-2875-49a6-9402-45d04fe7cb19 · outbound

This paper cites Unified training of universal time series forecasting transformers.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Unified training of universal time series forecasting transformers

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.650618Z

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Observation 9cb4d915-a5c1-42ec-ac0e-3c545d401c13 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.764549Z

Source-reported events for the cited work

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Observation 7980f830-2402-4ca0-8865-633d5cc434a3 · outbound

This paper cites An explanation of in-context learning as implicit Bayesian inference.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review An explanation of in-context learning as implicit Bayesian inference

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.868023Z

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Observation 77eabf9f-d075-494d-bffb-2cc748af6340 · outbound

This paper cites ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review ScoreGrad: Multivariate Probabilistic Time Series Forecasting with Continuous Energy-based Generative Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:12.968980Z

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Observation 8edb845a-8c99-4ae7-83f9-53824e0ae92e · outbound

This paper cites A survey on diffusion models for time series and spatio-temporal data.arXiv preprint arXiv:2404.18886, 2024.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review A survey on diffusion models for time series and spatio-temporal data.arXiv preprint arXiv:2404.18886, 2024

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:13.054292Z

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Observation 36e300d4-cde3-4706-b0ce-d03b03aaa3e7 · outbound

This paper cites Diffusion-TS: Interpretable diffusion for general time series generation.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Diffusion-TS: Interpretable diffusion for general time series generation

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:13.137084Z

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Observation 45eb5e3a-8316-40df-b27f-79144aee2db3 · outbound

This paper cites Are transformers effective for time series forecasting? InProceedings of the AAAI Conference on Artificial Intelligence, 2023.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Are transformers effective for time series forecasting? InProceedings of the AAAI Conference on Artificial Intelligence, 2023

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:13.268709Z

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Observation e400823d-6305-4389-991d-835f7323d497 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:13.379073Z

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Observation 9679eb8c-ba9c-40d0-9fb4-aa8dba6fd56f · outbound

This paper cites FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting.

From Vector Autoregressions to AI-based Time Series Forecasting: A Review FEDformer: Frequency enhanced decomposed transformer for long-term series forecasting

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T02:39:13.458718Z

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