VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection | Paper Citation Record

Observation a5258944-76be-449c-aea2-0f7953e9e3e6 · outbound

This paper cites Deep learning for time series anomaly detection: A survey,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Deep learning for time series anomaly detection: A survey,

Reference 1

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Observation 930a9f22-d5bd-4260-9bff-6697b7df1f52 · outbound

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

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Catch: Channel-aware multivariate time series anomaly detection via frequency patching,

Reference 2

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Observation d64665d0-bbe2-4e07-93cb-5ef94fd02343 · outbound

This paper cites Crossad: Time series anomaly detection with cross-scale associations and cross-window modeling,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Crossad: Time series anomaly detection with cross-scale associations and cross-window modeling,

Reference 3

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Observation a3e75327-88b3-478a-b539-547618dbda48 · outbound

This paper cites Scatterad: Temporal-topological scattering mechanism for time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Scatterad: Temporal-topological scattering mechanism for time series anomaly detection,

Reference 4

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Observation f33ba9f0-902f-4f33-8ade-15b911d41d28 · outbound

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

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Towards a general time series anomaly detector with adap- tive bottlenecks and dual adversarial decoders,

Reference 5

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Observation f86380bb-6665-4369-9d12-85ceba7181cb · outbound

This paper cites Large language model guided knowledge distillation for time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Large language model guided knowledge distillation for time series anomaly detection,

Reference 6

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Observation 542fe73e-35bd-4b38-9f2e-305314350f4a · outbound

This paper cites Can llms understand time series anomalies?,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Can llms understand time series anomalies?,

Reference 7

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Observation c6cb2ec8-f26f-4ddb-b1d5-fdf1d8ae607b · outbound

This paper cites Can LLMs Serve As Time Series Anomaly Detectors?.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Can LLMs Serve As Time Series Anomaly Detectors?

Reference 8

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Observation ee081786-d9b4-4232-8978-9599eef8eee2 · outbound

This paper cites Visionts: Visual masked autoencoders are free-lunch zero-shot time series fore- casters,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Visionts: Visual masked autoencoders are free-lunch zero-shot time series fore- casters,

Reference 9

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Observation 7dd7c3ce-d883-4c5d-bc16-53dfe206078a · outbound

This paper cites Visionts++: Cross-modal time series foundation model with continual pre-trained vision backbones,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Visionts++: Cross-modal time series foundation model with continual pre-trained vision backbones,

Reference 10

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Observation 6cae15dd-26bc-4542-b79d-c7618715d544 · outbound

This paper cites Time series as images: Vision transformer for irregularly sampled time series,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Time series as images: Vision transformer for irregularly sampled time series,

Reference 11

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Observation 5d55a5eb-f8a6-45df-8266-17b81793ff89 · outbound

This paper cites Masked au- toencoders are scalable vision learners,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Masked au- toencoders are scalable vision learners,

Reference 12

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Observation bd652fbf-f2bf-4a1c-b166-5df3924e4edf · outbound

This paper cites Learn hybrid prototypes for multivariate time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Learn hybrid prototypes for multivariate time series anomaly detection,

Reference 13

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Observation eefc41c9-1f90-4c62-8e25-a14333ed39a6 · outbound

This paper cites Memto: Memory-guided trans- former for multivariate time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Memto: Memory-guided trans- former for multivariate time series anomaly detection,

Reference 14

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Observation dbd1f814-d7bc-457d-9e61-15680d28ddca · outbound

This paper cites Transnas-tsad: harnessing transformers for multi-objective neural architecture search in time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Transnas-tsad: harnessing transformers for multi-objective neural architecture search in time series anomaly detection,

Reference 15

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Observation bf0d6f80-7fbf-447d-826f-f09719f973ed · outbound

This paper cites Paano: Patch-based representation learning for time-series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Paano: Patch-based representation learning for time-series anomaly detection,

Reference 16

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Observation 6c91ab87-4d3d-44d7-92b0-73e085eb9bb0 · outbound

This paper cites Attention is all you need,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Attention is all you need,

Reference 17

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Observation 04f38670-a2dd-43b2-9924-4ef2c412128f · outbound

This paper cites Lof: identifying density-based local outliers,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Lof: identifying density-based local outliers,

Reference 18

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Observation a1791011-0c74-4437-af75-e200b27825d9 · outbound

This paper cites Discovering cluster-based local outliers,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Discovering cluster-based local outliers,

Reference 19

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Observation 314f90d8-7373-4c79-9aca-fd8885a82fe6 · outbound

This paper cites A novel anomaly detection scheme based on principal component classifier,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection A novel anomaly detection scheme based on principal component classifier,

Reference 20

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Observation ad98b23e-96f3-4231-b94b-cdf35ef54fbd · outbound

This paper cites Efficient algorithms for mining outliers from large data sets,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Efficient algorithms for mining outliers from large data sets,

Reference 21

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Observation 3e189fe9-8ba6-47a6-8e07-fccb4947eba7 · outbound

This paper cites Graph neural network-based anomaly detection in multivariate time series,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Graph neural network-based anomaly detection in multivariate time series,

Reference 22

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Observation eefb1422-1ed7-4256-b870-97d67e74137e · outbound

This paper cites Multivariate time series anomaly detection by capturing coarse-grained intra-and inter-variate dependen- cies,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Multivariate time series anomaly detection by capturing coarse-grained intra-and inter-variate dependen- cies,

Reference 23

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Observation 12157d7f-e907-4f61-83e7-fb3051c0cd8b · outbound

This paper cites Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Dcdetector: Dual attention contrastive representation learning for time series anomaly detection,

Reference 24

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Observation ccb24ca0-a312-4e52-82ee-be708e31e601 · outbound

This paper cites Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Causality-Aware Contrastive Learning for Robust Multivariate Time-Series Anomaly Detection

Reference 25

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Observation 644bdc9c-49dd-4d4e-b781-bafb2e49a5db · outbound

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

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Time-moe: Billion-scale time series foundation models with mixture of experts,

Reference 26

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Observation e0f527f5-4993-4cef-b339-e5cd52980326 · outbound

This paper cites Chronos: Learning the language of time series,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Chronos: Learning the language of time series,

Reference 27

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Observation 3744c708-c34f-4262-90e0-87040a4c4c5b · outbound

This paper cites Timer: generative pre-trained transformers are large time series models,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Timer: generative pre-trained transformers are large time series models,

Reference 28

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Observation 0c04ff63-4e5b-43aa-b95d-c7f4a8175ff7 · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection One fits all: Power general time series analysis by pretrained lm,

Reference 29

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Observation f5ca7233-3067-4b15-b2e1-af76664d210b · outbound

This paper cites Large language models for spatial trajectory patterns mining,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Large language models for spatial trajectory patterns mining,

Reference 30

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Observation f019eacc-3ae5-417e-a3fb-14bb7a65e392 · outbound

This paper cites AST: Audio Spectrogram Transformer.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection AST: Audio Spectrogram Transformer

Reference 31

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Observation 25adce50-78be-44bd-962e-87133c493879 · outbound

This paper cites Training data-efficient image transformers & distillation through attention,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Training data-efficient image transformers & distillation through attention,

Reference 32

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Observation bad52c25-2887-47b1-9dfa-f9ecd7d0bb73 · outbound

This paper cites Harnessing vision models for time series analysis: A survey,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Harnessing vision models for time series analysis: A survey,

Reference 33

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Observation 3e214b86-5429-4023-a875-c412ee228a4d · outbound

This paper cites From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection From Images to Signals: Are Large Vision Models Useful for Time Series Analysis?

Reference 34

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Observation eec4fec6-e326-4a27-9795-9513746901c5 · outbound

This paper cites Imagenet: A large-scale hierarchical image database,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Imagenet: A large-scale hierarchical image database,

Reference 35

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Observation fa7eef3e-595f-424b-ad66-1dc59d06d81f · outbound

This paper cites Graph-augmented normalizing flows for anomaly detection of multiple time series,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Graph-augmented normalizing flows for anomaly detection of multiple time series,

Reference 36

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Observation e58a001c-f59d-472c-8d73-5eb829b97024 · outbound

This paper cites Label-free multivariate time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Label-free multivariate time series anomaly detection,

Reference 37

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Observation 8a1b2cdc-d306-405d-aa37-41bfcbcb37e9 · outbound

This paper cites Masked autoregressive flow for density estimation,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Masked autoregressive flow for density estimation,

Reference 38

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Observation a16d7422-ee03-4459-8cac-23e2c410c28c · outbound

This paper cites Calf: Aligning llms for time series forecasting via cross- modal fine-tuning,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Calf: Aligning llms for time series forecasting via cross- modal fine-tuning,

Reference 39

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Observation 74839e94-ba34-4d99-b543-ed4841dc7a8a · outbound

This paper cites itrans- former: Inverted transformers are effective for time series forecasting,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection itrans- former: Inverted transformers are effective for time series forecasting,

Reference 40

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Observation a1545b00-04c5-4c30-96d5-4e49f9ce8450 · outbound

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

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Moderntcn: A modern pure convolution structure for general time series analysis.,

Reference 41

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Observation 8da86eed-0eb6-4124-aa5d-722c42a77b02 · outbound

This paper cites Breaking the time-frequency granularity discrepancy in time-series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Breaking the time-frequency granularity discrepancy in time-series anomaly detection,

Reference 42

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Observation 5de6520f-37f7-4e90-b21f-4b93e4375676 · outbound

This paper cites Noise matters: Cross contrastive learning for flink anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Noise matters: Cross contrastive learning for flink anomaly detection,

Reference 43

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Observation 4fc979e2-ca56-410c-b369-7db35c8637e9 · outbound

This paper cites Drift doesn’t matter: Dynamic decomposition with diffusion reconstruc- tion for unstable multivariate time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Drift doesn’t matter: Dynamic decomposition with diffusion reconstruc- tion for unstable multivariate time series anomaly detection,

Reference 44

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Observation 28f98733-88bb-4d1a-b9e6-f8bbbe42dcd9 · outbound

This paper cites Local evaluation of time series anomaly detection algorithms,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Local evaluation of time series anomaly detection algorithms,

Reference 45

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Observation 618592f5-72b3-45d5-b121-4e82029994a0 · outbound

This paper cites The elephant in the room: Towards a reliable time-series anomaly detection benchmark,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection The elephant in the room: Towards a reliable time-series anomaly detection benchmark,

Reference 46

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Observation 4023370a-fcf8-4ec0-a0e8-2d468ddeb550 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Learning transferable visual models from natural language supervision,

Reference 47

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Observation 9badbc09-17ab-48cf-a91f-839b8c203279 · outbound

This paper cites Towards multimodal time series anomaly detection with semantic alignment and condensed interaction,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Towards multimodal time series anomaly detection with semantic alignment and condensed interaction,

Reference 48

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Observation 46157dc1-a836-4770-bb5f-7fbb1b0aaed9 · outbound

This paper cites Harnessing vision-language models for time series anomaly detection,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection Harnessing vision-language models for time series anomaly detection,

Reference 49

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Observation 591d14c6-f4c4-4c16-b918-940b626171a5 · outbound

This paper cites T3time: Tri-modal time series forecasting via adaptive multi-head alignment and residual fusion,.

VAN-AD: Visual Masked Autoencoder with Normalizing Flow For Time Series Anomaly Detection T3time: Tri-modal time series forecasting via adaptive multi-head alignment and residual fusion,

Reference 50

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