Research graph
References from Deep Time Series Models: A Comprehensive Survey and Benchmark. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
2015 · External reference
10.2307/j.ctv14jx6sm
10.2307/j.ctv14jx6sm · External reference
TimesNet: Temporal 2D-variation modeling for general time series analysis
External reference
10.1016/j.eswa.2021.115738
10.1016/j.eswa.2021.115738 · External reference
Anomaly transformer: Time series anomaly detection with association discrepancy
External reference
10.1038/s42256-023-00667-9
10.1038/s42256-023-00667-9 · External reference
Unresolved reference
1995 · External reference
10.1007/s10618-019-00619-1
10.1007/s10618-019-00619-1 · External reference
Anomaly detection in univariate time-series: A survey on the state-of-the-art
2020 · External reference
10.1089/big.2020.0159
10.1089/big.2020.0159 · External reference
10.1145/3444690
10.1145/3444690 · External reference
10.24963/ijcai.2023/759
10.24963/ijcai.2023/759 · External reference
10.1109/tpami.2024.3443141
10.1109/tpami.2024.3443141 · External reference
10.1109/tkde.2024.3484454
10.1109/tkde.2024.3484454 · External reference
10.14778/3665844.3665863
10.14778/3665844.3665863 · External reference
10.48550/arxiv.1810.04805
10.48550/arxiv.1810.04805 · External reference
GPT-4 technical report
2023 · External reference
10.1109/cvpr.2016.90
10.1109/cvpr.2016.90 · External reference
An image is worth 16 × 16 words: Transformers for image recognition at scale
External reference
10.1145/3285029
10.1145/3285029 · External reference
10.1609/aaai.v35i12.17325
10.1609/aaai.v35i12.17325 · External reference
Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting
External reference
A time series is worth 64 words: Long-term forecasting with transformers
External reference
N-BEATS: Neural basis expansion analysis for interpretable time series forecasting
External reference
Pixel recurrent neural networks
External reference
10.1109/tpami.2020.3045007
10.1109/tpami.2020.3045007 · External reference
10.1257/jep.15.4.101
10.1257/jep.15.4.101 · External reference
10.4324/9780429492648
10.4324/9780429492648 · External reference
10.1016/s0925-2312(01)00702-0
10.1016/s0925-2312(01)00702-0 · External reference
Time series data imputation: A survey on deep learning approaches
2020 · External reference
Multivariate time series imputation with generative adversarial networks
External reference
10.32614/rj-2017-009
10.32614/rj-2017-009 · External reference
10.21629/jsee.2017.01.18
10.21629/jsee.2017.01.18 · External reference
10.1145/2783258.2788611
10.1145/2783258.2788611 · External reference
Instance normalization: The missing ingredient for fast stylization
2016 · External reference
10.1109/tnnls.2019.2944933
10.1109/tnnls.2019.2944933 · External reference
Reversible instance normalization for accurate time-series forecasting against distribution shift
External reference
10.52202/068431-0718
10.52202/068431-0718 · External reference
iTransformer: Inverted transformers are effective for time series forecasting
External reference
10.1016/j.aiopen.2025.06.001
10.1016/j.aiopen.2025.06.001 · External reference
10.52202/075280-0628
10.52202/075280-0628 · External reference
STL: A seasonal-trend decomposition
1990 · External reference
Unresolved reference
1976 · External reference
STL: A seasonal-trend decomposition procedure based on loess
1990 · External reference
10.1007/978-3-319-31822-6
10.1007/978-3-319-31822-6 · External reference
10.1609/aaai.v33i01.33015409
10.1609/aaai.v33i01.33015409 · External reference
10.1198/jasa.2011.tm09771
10.1198/jasa.2011.tm09771 · External reference
10.1080/00031305.2017.1380080
10.1080/00031305.2017.1380080 · External reference
10.1609/aaai.v37i9.26317
10.1609/aaai.v37i9.26317 · External reference
10.1609/aaai.v37i6.25845
10.1609/aaai.v37i6.25845 · External reference
10.1109/icassp49357.2023.10096881
10.1109/icassp49357.2023.10096881 · External reference
TEMPO: Prompt-based generative pre-trained transformer for time series forecasting
External reference
10.1609/aaai.v37i6.25854
10.1609/aaai.v37i6.25854 · External reference
DEPTS: Deep expansion learning for periodic time series forecasting
External reference
10.1145/3637552
10.1145/3637552 · External reference
10.1137/1.9781611972801.19
10.1137/1.9781611972801.19 · External reference
Temporal regularized matrix factorization for high-dimensional time series prediction
External reference
10.1109/icdm.2017.146
10.1109/icdm.2017.146 · External reference
10.2139/ssrn.4305640
10.2139/ssrn.4305640 · External reference
10.1109/tpami.2021.3066551
10.1109/tpami.2021.3066551 · External reference
Think globally, act locally: A deep neural network approach to high-dimensional time series forecasting
External reference
10.1016/j.trc.2021.103228
10.1016/j.trc.2021.103228 · External reference
10.1109/tpami.2010.231
10.1109/tpami.2010.231 · External reference
Unresolved reference
1995 · External reference
10.1063/1.3035549
10.1063/1.3035549 · External reference
10.1002/0471722235
10.1002/0471722235 · External reference
10.1109/tbme.2014.2360101
10.1109/tbme.2014.2360101 · External reference
Unresolved reference
1988 · External reference
10.1017/cbo9780511623820
10.1017/cbo9780511623820 · External reference
10.1145/3219819.3220060
10.1145/3219819.3220060 · External reference
10.1145/3308558.3313426
10.1145/3308558.3313426 · External reference
10.3390/app9071345
10.3390/app9071345 · External reference
T-WaveNet: A tree-structured wavelet neural network for time series signal analysis
External reference
Unsupervised time-series representation learning with iterative bilinear temporal-spectral fusion
External reference
10.1145/3580305.3599549
10.1145/3580305.3599549 · External reference
10.1609/aaai.v37i9.26276
10.1609/aaai.v37i9.26276 · External reference
10.1145/3711896.3736571
10.1145/3711896.3736571 · External reference
Periodicity decoupling framework for long-term series forecasting
External reference
10.52202/068431-0921
10.52202/068431-0921 · External reference
FITS: Modeling time series with $ 10k$10k parameters
External reference
10.1201/9781003612742-2
10.1201/9781003612742-2 · External reference
10.1007/bf02546511
10.1007/bf02546511 · External reference
10.1109/tkde.2020.3003420
10.1109/tkde.2020.3003420 · External reference
10.1145/3511808.3557470
10.1145/3511808.3557470 · External reference
Spectral temporal graph neural network for multivariate time-series forecasting
External reference
Edge-varying fourier graph networks for multivariate time series forecasting
2022 · External reference
10.52202/075280-3349
10.52202/075280-3349 · External reference
10.1145/3589334.3645710
10.1145/3589334.3645710 · External reference
10.1201/9781003616719-3
10.1201/9781003616719-3 · External reference
Time series diffusion in the frequency domain
External reference
10.1016/j.ijforecast.2022.03.001
10.1016/j.ijforecast.2022.03.001 · External reference
MLP-mixer: An all-MLP architecture for vision
External reference
TSMixer: An all-MLP architecture for time series forecasting
2023 · External reference
Long-term forecasting with tide: Time-series dense encoder
2023 · External reference
10.1017/s0022112010001217
10.1017/s0022112010001217 · External reference
10.52202/075280-0538
10.52202/075280-0538 · External reference
10.1162/neco.1997.9.8.1735
10.1162/neco.1997.9.8.1735 · External reference
Sequence to sequence learning with neural networks
External reference
10.48550/arxiv.1406.1078
10.48550/arxiv.1406.1078 · External reference
10.18653/v1/k16-1028
10.18653/v1/k16-1028 · External reference
SampleRNN: An unconditional end-to-end neural audio generation model
External reference
10.1016/j.fcij.2018.10.003
10.1016/j.fcij.2018.10.003 · External reference
BRITS: Bidirectional recurrent imputation for time series
External reference
10.1109/tbme.2018.2874712
10.1109/tbme.2018.2874712 · External reference
10.1038/s41598-018-24271-9
10.1038/s41598-018-24271-9 · External reference
10.1145/3097983.3097997
10.1145/3097983.3097997 · External reference
Timeseries anomaly detection using temporal hierarchical one-class network
External reference
10.1145/3209978.3210006
10.1145/3209978.3210006 · External reference
10.24963/ijcai.2017/366
10.24963/ijcai.2017/366 · External reference
10.1016/j.ijforecast.2019.07.001
10.1016/j.ijforecast.2019.07.001 · External reference
Combining recurrent, convolutional, and continuous-time models with linear state space layers
External reference
Sequential neural models with stochastic layers
External reference
10.1609/aaai.v31i1.10779
10.1609/aaai.v31i1.10779 · External reference
Deep state space models for time series forecasting
External reference
Efficiently modeling long sequences with structured state spaces
External reference
Mamba: Linear-time sequence modeling with selective state spaces
2024 · External reference
Neural ordinary differential equations
External reference
Latent ordinary differential equations for irregularly-sampled time series
External reference
Neural controlled differential equations for irregular time series
External reference
10.1088/1742-5468/ac3ae5
10.1088/1742-5468/ac3ae5 · External reference
10.1016/j.patcog.2017.10.013
10.1016/j.patcog.2017.10.013 · External reference
EfficientNet: Rethinking model scaling for convolutional neural networks
External reference
10.1109/tpami.2021.3059968
10.1109/tpami.2021.3059968 · External reference
10.1109/cvpr.2016.91
10.1109/cvpr.2016.91 · External reference
Data augmentation for time series classification using convolutional neural networks
External reference
10.1007/s10618-020-00710-y
10.1007/s10618-020-00710-y · External reference
10.52202/068431-0421
10.52202/068431-0421 · External reference
WaveNet: A generative model for raw audio
External reference
An empirical evaluation of generic convolutional and recurrent networks for sequence modeling
2018 · External reference
MICN: Multi-scale local and global context modeling for long-term series forecasting
External reference
ModernTCN: A modern pure convolution structure for general time series analysis
External reference
10.4324/9781410605337-29
10.4324/9781410605337-29 · External reference
10.1109/cvpr.2016.308
10.1109/cvpr.2016.308 · External reference
10.1109/tnn.2008.2005605
10.1109/tnn.2008.2005605 · External reference
Semi-supervised classification with graph convolutional networks
External reference
Diffusion convolutional recurrent neural network: Data-driven traffic forecasting
External reference
10.24963/ijcai.2018/505
10.24963/ijcai.2018/505 · External reference
10.24963/ijcai.2019/264
10.24963/ijcai.2019/264 · External reference
Adaptive graph convolutional recurrent network for traffic forecasting
External reference
10.1145/3394486.3403118
10.1145/3394486.3403118 · External reference
10.1609/aaai.v35i5.16542
10.1609/aaai.v35i5.16542 · External reference
ViLBERT: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks
External reference
XLNet: Generalized autoregressive pretraining for language understanding
External reference
Language models are few-shot learners
External reference
10.1007/s11704-026-60308-3
10.1007/s11704-026-60308-3 · External reference
Training data-efficient image transformers & distillation through attention
External reference
10.1109/iccv48922.2021.00986
10.1109/iccv48922.2021.00986 · External reference
10.1109/iccv48922.2021.00061
10.1109/iccv48922.2021.00061 · External reference
10.48550/arxiv.1706.03762
10.48550/arxiv.1706.03762 · External reference
Enhancing the locality and breaking the memory bottleneck of transformer on time series forecasting
External reference
PyraFormer: Low-complexity pyramidal attention for long-range time series modeling and forecasting
External reference
Crossformer: Transformer utilizing cross-dimension dependency for multivariate time series forecasting
External reference
10.52202/075280-1877
10.52202/075280-1877 · External reference
Timer: Transformers for time series analysis at scale
External reference
Unresolved reference
2002 · External reference
CARD: Channel aligned robust blend transformer for time series forecasting
External reference
Multi-scale transformers with adaptive pathways for time series forecasting
External reference
10.52202/079017-0015
10.52202/079017-0015 · External reference
10.52202/075280-0112
10.52202/075280-0112 · External reference
MOMENT: A family of open time-series foundation models
External reference
Unified training of universal time series forecasting transformers
External reference
Moirai-MoE: Empowering time series foundation models with sparse mixture of experts
External reference
10.52202/079017-2359
10.52202/079017-2359 · External reference
10.52202/085713-1929
10.52202/085713-1929 · External reference
Lag-Llama: Towards foundation models for time series forecasting
External reference
A decoder-only foundation model for time-series forecasting
External reference
Time-MoE: Billion-scale time series foundation models with mixture of experts
External reference
Sundial: A family of highly capable time series foundation models
External reference
Toto: Time series optimized transformer for observability
2024 · External reference
10.52202/075280-0861
10.52202/075280-0861 · External reference
Chronos: Learning the language of time series
2024 · External reference
Chronos-2: From univariate to universal forecasting
2025 · External reference
10.1145/3532611
10.1145/3532611 · External reference
10.1145/3474717.3483923
10.1145/3474717.3483923 · External reference
10.1145/3459637.3482000
10.1145/3459637.3482000 · External reference
10.1109/icde51399.2021.00057
10.1109/icde51399.2021.00057 · External reference
Tslearn, a machine learning toolkit for time series data
2020 · External reference
StatsForecast: Lightning fast forecasting with statistical and econometric models
2022 · External reference
NeuralForecast: User friendly state-of-the-art neural forecasting models
2022 · External reference
GluonTS: Probabilistic and neural time series modeling in Python
2020 · External reference
10.1016/j.ijforecast.2019.04.014
10.1016/j.ijforecast.2019.04.014 · External reference
10.1145/3292500.3330672
10.1145/3292500.3330672 · External reference
10.1145/3219819.3219845
10.1145/3219819.3219845 · External reference
10.1109/cyswater.2016.7469060
10.1109/cyswater.2016.7469060 · External reference
10.1145/3447548.3467174
10.1145/3447548.3467174 · External reference
The UEA multivariate time series classification archive, 2018,
2018 · External reference
10.1145/3447548.3467401
10.1145/3447548.3467401 · External reference
TimeMixer: Decomposable multiscale mixing for time series forecasting
External reference
10.1609/aaai.v38i10.28991
10.1609/aaai.v38i10.28991 · External reference
TimeFilter: Patch-specific spatial-temporal graph filtration for time series forecasting
External reference
10.1007/s11431-020-1647-3
10.1007/s11431-020-1647-3 · External reference
10.1109/cvpr42600.2020.00975
10.1109/cvpr42600.2020.00975 · External reference
10.1109/tkde.2021.3090866
10.1109/tkde.2021.3090866 · External reference
10.3390/technologies9010002
10.3390/technologies9010002 · External reference
10.1109/cvpr52688.2022.01553
10.1109/cvpr52688.2022.01553 · External reference
10.5555/3524938.3525087
10.5555/3524938.3525087 · External reference
Representation learning with contrastive predictive coding
2018 · External reference
10.1609/aaai.v36i8.20881
10.1609/aaai.v36i8.20881 · External reference
10.24963/ijcai.2021/324
10.24963/ijcai.2021/324 · External reference
CoST: Contrastive learning of disentangled seasonal-trend representations for time series forecasting
External reference
Data2vec: A general framework for self-supervised learning in speech, vision and language
External reference
10.1145/3447548.3467401
10.1145/3447548.3467401 · External reference
10.1145/3627673.3679741
10.1145/3627673.3679741 · External reference
10.52202/075280-1306
10.52202/075280-1306 · External reference
TimeSiam: A pre-training framework for Siamese time-series modeling
External reference
