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docs: update docs to add CSDI as a forecasting method;
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WenjieDu committed Apr 18, 2024
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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -228,6 +228,7 @@ the same as we did in [SAITS paper](https://arxiv.org/pdf/2202.08516).**
| Neural Net | VaDER | Variational Deep Embedding with Recurrence [^7] | 2019 |
| ***`Forecasting`*** | 🚥 | 🚥 | 🚥 |
| **Type** | **Abbr.** | **Full name of the algorithm/model/paper** | **Year** |
| Neural Net | CSDI | Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation [^12] | 2021 |
| Probabilistic | BTTF | Bayesian Temporal Tensor Factorization [^8] | 2021 |


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2 changes: 1 addition & 1 deletion docs/index.rst
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Expand Up @@ -193,7 +193,7 @@ Imputation Neural Net FEDformer (Frequency Enhanced De
Imputation Neural Net Informer (Beyond Efficient Transformer for Long Sequence Time-Series Forecasting) 2021 :cite:`zhou2021informer`
Imputation Neural Net Autoformer (Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting) 2021 :cite:`wu2021autoformer`
Imputation Neural Net US-GAN (Unsupervised GAN for Multivariate Time Series Imputation) 2021 :cite:`miao2021SSGAN`
Imputation Neural Net CSDI (Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation) 2021 :cite:`tashiro2021csdi`
Imputation, Forecasting Neural Net CSDI (Conditional Score-based Diffusion Models for Probabilistic Time Series Imputation) 2021 :cite:`tashiro2021csdi`
Imputation Neural Net GP-VAE (Gaussian Process Variational Autoencoder) 2020 :cite:`fortuin2020gpvae`
Imputation, Classification Neural Net BRITS (Bidirectional Recurrent Imputation for Time Series) 2018 :cite:`cao2018BRITS`
Imputation Neural Net M-RNN (Multi-directional Recurrent Neural Network) 2019 :cite:`yoon2019MRNN`
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