| Conformal Time-series Forecasting | Dec 1, 2021 | Conformal PredictionDecision Making | CodeCode Available | 1 |
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| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 |
| Early Classification of Time Series: Taxonomy and Benchmark | Jun 26, 2024 | ClassificationEarly Classification | CodeCode Available | 1 |
| EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals | Jun 5, 2018 | Data AugmentationEEG | CodeCode Available | 1 |
| General Evaluation for Instruction Conditioned Navigation using Dynamic Time Warping | Jul 11, 2019 | Dynamic Time WarpingNavigate | CodeCode Available | 1 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 |
| Empirical Evaluation of Data Augmentations for Biobehavioral Time Series Data with Deep Learning | Oct 13, 2022 | Data AugmentationTime Series | CodeCode Available | 1 |
| Enhancing Representation Learning for Periodic Time Series with Floss: A Frequency Domain Regularization Approach | Aug 2, 2023 | Anomaly DetectionDeep Learning | CodeCode Available | 1 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 |
| Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | Feb 17, 2022 | Conformal PredictionPrediction Intervals | CodeCode Available | 1 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 |
| CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting | Jun 4, 2024 | Dataset CondensationTime Series | CodeCode Available | 1 |
| Epicasting: An Ensemble Wavelet Neural Network (EWNet) for Forecasting Epidemics | Jun 21, 2022 | SchedulingTime Series | CodeCode Available | 1 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 |
| ES-dRNN: A Hybrid Exponential Smoothing and Dilated Recurrent Neural Network Model for Short-Term Load Forecasting | Dec 5, 2021 | Load ForecastingTime Series | CodeCode Available | 1 |
| Compatible deep neural network framework with financial time series data, including data preprocessor, neural network model and trading strategy | May 11, 2022 | Binary ClassificationFeature Engineering | CodeCode Available | 1 |
