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| Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting | May 6, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| A bootstrap test to detect prominent Granger-causalities across frequencies | Mar 1, 2018 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Monotonic Gaussian Process Flow | May 30, 2019 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis | Dec 1, 2024 | Computational EfficiencyPhysics-informed machine learning | CodeCode Available | 0 |
| DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting | Nov 3, 2019 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| FocusLearn: Fully-Interpretable, High-Performance Modular Neural Networks for Time Series | Nov 28, 2023 | Additive modelsfeature selection | CodeCode Available | 0 |
| Dropout Feature Ranking for Deep Learning Models | Dec 22, 2017 | Deep LearningTime Series | CodeCode Available | 0 |
| Driver Identification Based on Vehicle Telematics Data using LSTM-Recurrent Neural Network | Nov 19, 2019 | Autonomous VehiclesDriver Identification | CodeCode Available | 0 |
| Model Selection with a Shapelet-based Distance Measure for Multi-source Transfer Learning in Time Series Classification | Sep 30, 2024 | Model SelectionTime Series | CodeCode Available | 0 |
| Block-Structure Based Time-Series Models For Graph Sequences | Apr 24, 2018 | Community DetectionTime Series | CodeCode Available | 0 |
| Model selection in reconciling hierarchical time series | Oct 21, 2020 | modelModel Selection | CodeCode Available | 0 |
| Model Selection for Time Series Forecasting: Empirical Analysis of Different Estimators | Apr 1, 2021 | Model SelectionTime Series | CodeCode Available | 0 |
| Modelling stellar activity with Gaussian process regression networks | May 13, 2022 | Gaussian Processesregression | CodeCode Available | 0 |
| Sparse Transformer with Local and Seasonal Adaptation for Multivariate Time Series Forecasting | Dec 11, 2023 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting | Feb 25, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data | Jan 13, 2025 | Time Series | CodeCode Available | 0 |
| Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks? | May 20, 2023 | DecoderTime Series | CodeCode Available | 0 |
| Concurrent Neural Network : A model of competition between times series | Sep 30, 2020 | PredictionTime Series | CodeCode Available | 0 |
| Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows | Sep 17, 2023 | Bayesian InferenceGaussian Processes | CodeCode Available | 0 |
| Double Articulation Analyzer with Prosody for Unsupervised Word and Phoneme Discovery | Mar 15, 2021 | Language ModellingTime Series | CodeCode Available | 0 |
| Don't Think It Twice: Exploit Shift Invariance for Efficient Online Streaming Inference of CNNs | Aug 6, 2024 | Computational EfficiencyTime Series | CodeCode Available | 0 |
| Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks | May 24, 2017 | Point ProcessesTime Series | CodeCode Available | 0 |
| Modeling the Dynamics of Growth in Master-Planned Communities | Aug 26, 2024 | NavigateTime Series | CodeCode Available | 0 |
| Modeling state-transition dynamics in resting-state brain signals by the hidden Markov and Gaussian mixture models | Jan 23, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 0 |