VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting | Paper Citation Record

Observation f70dedd5-e0f6-4b71-aec7-344daefb1e0a · outbound

This paper cites A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting A survey on graph neural networks for time series: Forecasting, classification, imputation, and anomaly detection,

Reference 1

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Observation 9795eb5e-6d44-44f8-b90c-d9b079f0e67a · outbound

This paper cites Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Self-supervised learning for time series analysis: Taxonomy, progress, and prospects,

Reference 2

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This paper cites TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation

Reference 3

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Observation 9d808f58-fb36-44ad-887f-8b15b7dede42 · outbound

This paper cites Transformer- plm enhanced multimodal time series forecasting via decoupled dual- temporal graph adaptation,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Transformer- plm enhanced multimodal time series forecasting via decoupled dual- temporal graph adaptation,

Reference 4

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This paper cites The republic,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting The republic,

Reference 5

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Observation 7eb602dc-8a3a-4869-8cf6-0c3840dd133d · outbound

This paper cites Diversify: A general framework for time series out-of- distribution detection and generalization,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Diversify: A general framework for time series out-of- distribution detection and generalization,

Reference 6

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Observation 941685be-a32c-451b-81ec-47554d7ed7d4 · outbound

This paper cites Stpdn: Spatio-temporal pattern decomposition network with fluctuation aware- ness for robust traffic flow forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Stpdn: Spatio-temporal pattern decomposition network with fluctuation aware- ness for robust traffic flow forecasting,

Reference 7

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Observation 2b9ac729-4b48-4a29-8a44-85cd33daf3f0 · outbound

This paper cites Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning

Reference 8

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Observation 08668b0a-27c6-4ee4-8458-1969bf53cfd1 · outbound

This paper cites A time series is worth 64words: Long-term forecasting with transformers,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting A time series is worth 64words: Long-term forecasting with transformers,

Reference 9

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Observation ebf4e3ce-1e08-41ae-9f51-15fe5b2c66ed · outbound

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

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting itransformer: Inverted transformers are effective for time series forecasting,

Reference 10

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Observation ab8af039-5510-4ab9-a40d-c844b7ca5085 · outbound

This paper cites Moderntcn: A modern pure convolution structure for general time series analysis,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Moderntcn: A modern pure convolution structure for general time series analysis,

Reference 11

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Observation 5d7c4d66-7e3a-48a2-932b-93c9b7fea9bf · outbound

This paper cites Sundial: A family of highly capable time series foundation models,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Sundial: A family of highly capable time series foundation models,

Reference 12

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Observation 0a3f81ad-8d35-4193-8989-c5d17a920b9c · outbound

This paper cites Patch-wise Structural Loss for Time Series Forecasting.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Patch-wise Structural Loss for Time Series Forecasting

Reference 13

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Observation f3097c9a-3edc-4172-bea4-e2e6d7ebb02b · outbound

This paper cites Graph wavenet for deep spatial-temporal graph modeling,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Graph wavenet for deep spatial-temporal graph modeling,

Reference 14

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Observation 19f61da6-bdf5-478a-83bb-57e01d9b2087 · outbound

This paper cites Adaptive graph convolutional recurrent network for traffic forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Adaptive graph convolutional recurrent network for traffic forecasting,

Reference 15

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Observation 76b55c74-71d9-47ac-910f-2a3e85761bae · outbound

This paper cites Adpstgcn: Adaptive spatial–temporal graph convolu- tional network for traffic forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Adpstgcn: Adaptive spatial–temporal graph convolu- tional network for traffic forecasting,

Reference 16

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Observation 682b1512-aee8-4957-aa3b-5902920c07c0 · outbound

This paper cites Graph convolutional adversarial networks for spatiotemporal anomaly detection,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Graph convolutional adversarial networks for spatiotemporal anomaly detection,

Reference 17

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Observation 43b23411-b775-4246-91ee-510210b11741 · outbound

This paper cites Timestacker: A novel framework with multilevel observation for capturing nonstationary patterns in time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timestacker: A novel framework with multilevel observation for capturing nonstationary patterns in time series forecasting,

Reference 18

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Observation a4627b7b-a13c-4ac6-8d11-07ba56cc9bcc · outbound

This paper cites When will it fail?: Anomaly to prompt for forecasting future anomalies in time series,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting When will it fail?: Anomaly to prompt for forecasting future anomalies in time series,

Reference 19

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Observation 3697a030-e0e8-40d9-9d87-0447f2c42499 · outbound

This paper cites Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Spatial-temporal identity: A simple yet effective baseline for multivariate time series forecasting,

Reference 20

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Observation 072b0316-f481-4c99-8afb-a238cdf4a990 · outbound

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

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting,

Reference 21

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Observation d375bd1e-9960-46cf-876d-32a19ef00b8a · outbound

This paper cites Are transformers effective for time series forecasting?.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Are transformers effective for time series forecasting?

Reference 22

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Observation 69a0c521-24e3-46da-8168-02b28e7b15ac · outbound

This paper cites A memory guided transformer for time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting A memory guided transformer for time series forecasting,

Reference 23

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This paper cites Dualcast: A model to disentangle aperiodic events from traffic series,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Dualcast: A model to disentangle aperiodic events from traffic series,

Reference 24

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Observation 83b7855d-3643-4081-9ea8-0e72cdadda38 · outbound

This paper cites Time series representations with hard-coded invariances,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Time series representations with hard-coded invariances,

Reference 25

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Observation 8a69f6c2-bffd-4402-8c0f-3c38e4882cd7 · outbound

This paper cites Freeformer: Fre- quency enhanced transformer for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Freeformer: Fre- quency enhanced transformer for multivariate time series forecasting,

Reference 26

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Observation d53ba658-3a2c-4941-a9e3-19b30a0a9619 · outbound

This paper cites Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Crossformer: Transformer utilizing cross- dimension dependency for multivariate time series forecasting,

Reference 27

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Observation b1b997ec-ef01-448f-adc0-fd3b1dbc5c57 · outbound

This paper cites Dgraformer: Dynamic graph learning guided multi-scale transformer for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Dgraformer: Dynamic graph learning guided multi-scale transformer for multivariate time series forecasting,

Reference 28

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Observation 614f4d12-9125-4650-9382-43b2231f7983 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Time-LLM: Time series forecasting by reprogramming large language models,

Reference 29

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Observation 0ed8d2ec-7679-445f-839a-ef271f26c00d · outbound

This paper cites Timecma: Towards llm-empowered multivariate time series forecasting via cross-modality alignment,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timecma: Towards llm-empowered multivariate time series forecasting via cross-modality alignment,

Reference 30

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

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Unified training of universal time series forecasting transformers,

Reference 31

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This paper cites Time-moe: Billion-scale time series foundation models with mixture of experts,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Time-moe: Billion-scale time series foundation models with mixture of experts,

Reference 32

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Observation ec01d453-a67f-4e5a-acf4-b08b8d7460a3 · outbound

This paper cites Towards a general time series forecasting model with unified representation and adaptive transfer,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Towards a general time series forecasting model with unified representation and adaptive transfer,

Reference 33

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Observation e7c0be0a-ae9e-47d8-ac1b-9ce4b45c5bfa · outbound

This paper cites Timemixer: Decomposable multiscale mixing for time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timemixer: Decomposable multiscale mixing for time series forecasting,

Reference 34

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This paper cites TimeBase: The power of minimalism in efficient long-term time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting TimeBase: The power of minimalism in efficient long-term time series forecasting,

Reference 35

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Observation 80c3ef88-e23b-4862-9030-0fce39ea6838 · outbound

This paper cites Temporal query network for efficient multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Temporal query network for efficient multivariate time series forecasting,

Reference 36

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Observation 38cc8f4a-49c6-463d-a3a2-2c9d19cf87db · outbound

This paper cites Timesnet: Temporal 2d-variation modeling for general time series analysis,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timesnet: Temporal 2d-variation modeling for general time series analysis,

Reference 37

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Observation b65e08db-ab2a-4b48-8173-590585a9b05e · outbound

This paper cites Msgnet: Learning multi- scale inter-series correlations for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Msgnet: Learning multi- scale inter-series correlations for multivariate time series forecasting,

Reference 38

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Observation cfcb7b3a-be42-4095-ad57-650184e757b4 · outbound

This paper cites TimeFilter: Patch-specific spatial-temporal graph filtration for time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting TimeFilter: Patch-specific spatial-temporal graph filtration for time series forecasting,

Reference 39

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Observation b71dda38-f147-46b8-88bc-440628a3c25d · outbound

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VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Agga-mvfln: Multivariate time series forecasting via adaptive generalized graph accompanied with multi-view learning in frequency domain,

Reference 40

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Observation 290fe2bc-5ea0-4268-83fe-592ee3789ff5 · outbound

This paper cites Collaborative multivariate time series forecasting via variable-tailored inter-temporal graph and adaptive- smooth frequency fusion,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Collaborative multivariate time series forecasting via variable-tailored inter-temporal graph and adaptive- smooth frequency fusion,

Reference 41

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Observation 4095822a-77f5-4b30-8841-54f3447a7baf · outbound

This paper cites Timekan: Kan-based frequency decomposition learning architecture for long-term time series forecast- ing,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timekan: Kan-based frequency decomposition learning architecture for long-term time series forecast- ing,

Reference 42

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Observation 40bdaaac-8f60-412f-a2a0-fef87a11dd4f · outbound

This paper cites TimePro: Efficient multivariate long-term time series forecasting with variable- and time-aware hyper- state,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting TimePro: Efficient multivariate long-term time series forecasting with variable- and time-aware hyper- state,

Reference 43

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Observation 441d8bc6-0ea6-4e1c-81ea-90c95cb93684 · outbound

This paper cites The capacity and robustness trade- off: Revisiting the channel independent strategy for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting The capacity and robustness trade- off: Revisiting the channel independent strategy for multivariate time series forecasting,

Reference 44

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Observation 02f5cbf4-1d93-4c7c-b431-26bbd6f7537f · outbound

This paper cites Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Stone: A spatio-temporal ood learning framework kills both spatial and temporal shifts,

Reference 45

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Observation f87894f5-f817-4c92-9072-8ebaf9d86421 · outbound

This paper cites Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Decoupled dynamic spatial-temporal graph neural network for traffic forecasting,

Reference 46

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Observation ba564e49-76ae-46d3-89b6-1fba8f8e2a61 · outbound

This paper cites Bist: A lightweight and efficient bi-directional model for spatiotemporal prediction,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Bist: A lightweight and efficient bi-directional model for spatiotemporal prediction,

Reference 47

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Observation 17fbd050-a98c-4e92-be69-30e07dee7d66 · outbound

This paper cites Seeing the unseen: Learning basis confounder representations for robust traffic prediction,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Seeing the unseen: Learning basis confounder representations for robust traffic prediction,

Reference 48

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Observation c5284f30-1f28-4749-8eb0-3a4f40c9d2db · outbound

This paper cites Catch: Channel-aware multivariate time series anomaly detection via frequency patching,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Catch: Channel-aware multivariate time series anomaly detection via frequency patching,

Reference 49

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Observation 469ec5e0-9d2d-442e-beea-eaac23a3c2f0 · outbound

This paper cites Tab: Unified benchmarking of time series anomaly detection methods,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Tab: Unified benchmarking of time series anomaly detection methods,

Reference 50

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Observation 07827a8c-7cba-4f67-99b8-9d263289ebd2 · outbound

This paper cites Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Towards a general time series anomaly detector with adaptive bottlenecks and dual adversarial decoders,

Reference 51

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Observation d19ebe1e-b226-443e-89a1-076613384fcf · outbound

This paper cites Pinkus,N-widths in Approximation Theory.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Pinkus,N-widths in Approximation Theory

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This paper cites Generalization of an inequality by talagrand and links with the logarithmic sobolev inequality,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Generalization of an inequality by talagrand and links with the logarithmic sobolev inequality,

Reference 53

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Observation aa24570f-f67a-4029-b984-bf183fcb39fc · outbound

This paper cites Villaniet al.,Optimal transport: old and new.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Villaniet al.,Optimal transport: old and new

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Observation 4e5a6d74-d3e3-4cb3-ac96-ec664441d9e0 · outbound

This paper cites Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Detecting spacecraft anomalies using lstms and nonparametric dynamic thresholding,

Reference 55

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Observation cc8832d2-7371-42d9-a5ff-d44ae8ec20eb · outbound

This paper cites Practical approach to asyn- chronous multivariate time series anomaly detection and localization,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Practical approach to asyn- chronous multivariate time series anomaly detection and localization,

Reference 56

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This paper cites Duet: Dual clustering enhanced multivari- ate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Duet: Dual clustering enhanced multivari- ate time series forecasting,

Reference 57

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This paper cites Timemixer++: A general time series pattern machine for universal predictive analysis,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Timemixer++: A general time series pattern machine for universal predictive analysis,

Reference 58

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Observation f7dcf4b6-6a95-4b81-913e-2baa6ec3cf1e · outbound

This paper cites Filterts: Comprehensive frequency filtering for multivariate time series forecasting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Filterts: Comprehensive frequency filtering for multivariate time series forecasting,

Reference 59

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Observation 1d7bfc45-c68e-4caa-9ff9-4769b5957d55 · outbound

This paper cites Spatio-temporal meta-graph learning for traffic fore- casting,.

VLBM: Variational Latent Basis Modeling for OOD Robust Multivariate Time Series Forecasting Spatio-temporal meta-graph learning for traffic fore- casting,

Reference 60

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