| Score-based calibration testing for multivariate forecast distributions | Nov 29, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Forecasting COVID-19 Counts At A Single Hospital: A Hierarchical Bayesian Approach | Apr 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Communities in the Kuramoto Model: Dynamics and Detection via Path Signatures | Mar 21, 2025 | Community DetectionStochastic Block Model | CodeCode Available | 0 |
| Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical Vehicles | Sep 4, 2023 | Demand ForecastingFederated Learning | CodeCode Available | 0 |
| SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series Forecasting | May 5, 2025 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 0 |
| Scaling up Dynamic Topic Models | Feb 19, 2016 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables | Jul 21, 2020 | regressionTime Series | CodeCode Available | 0 |
| Forecasting and Granger Modelling with Non-linear Dynamical Dependencies | Jun 27, 2017 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| Enhanced Recurrent Neural Tangent Kernels for Non-Time-Series Data | Dec 9, 2020 | GPUTime Series | CodeCode Available | 0 |
| Scalable Dictionary Classifiers for Time Series Classification | Jul 26, 2019 | ClassificationGeneral Classification | CodeCode Available | 0 |
| Forecasting Algorithms for Causal Inference with Panel Data | Aug 6, 2022 | Causal Inferencecounterfactual | CodeCode Available | 0 |
| Forecasting Across Time Series Databases using Recurrent Neural Networks on Groups of Similar Series: A Clustering Approach | Oct 9, 2017 | BenchmarkingClustering | CodeCode Available | 0 |
| Are uGLAD? Time will tell! | Mar 21, 2023 | EEGElectroencephalogram (EEG) | CodeCode Available | 0 |
| Scalable Bayesian dynamic covariance modeling with variational Wishart and inverse Wishart processes | Jun 22, 2019 | Gaussian ProcessesTime Series | CodeCode Available | 0 |
| The Neural Moving Average Model for Scalable Variational Inference of State Space Models | Oct 2, 2019 | Bayesian InferenceNormalising Flows | CodeCode Available | 0 |
| SAZED: parameter-free domain-agnostic season length estimation in time series data | Jul 26, 2019 | Time Series | CodeCode Available | 0 |
| Satellite Image Time Series Classification with Pixel-Set Encoders and Temporal Self-Attention | Nov 18, 2019 | General ClassificationTime Series | CodeCode Available | 0 |
| FNetAR: Mixing Tokens with Autoregressive Fourier Transforms | Jul 22, 2021 | Language ModellingTime Series | CodeCode Available | 0 |
| Sampling and Reconstruction of Signals on Product Graphs | Jun 30, 2018 | Active LearningRecommendation Systems | CodeCode Available | 0 |
| Sample and Predict Your Latent: Modality-free Sequential Disentanglement via Contrastive Estimation | May 25, 2023 | DisentanglementRepresentation Learning | CodeCode Available | 0 |
| MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction | Dec 27, 2021 | Click-Through Rate PredictionRecommendation Systems | CodeCode Available | 0 |
| Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology | Jan 13, 2019 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
| SAITS: Self-Attention-based Imputation for Time Series | Feb 17, 2022 | ImputationMissing Values | CodeCode Available | 0 |
| Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics | Apr 9, 2021 | motion predictionPrediction | CodeCode Available | 0 |
| Flipped Classroom: Effective Teaching for Time Series Forecasting | Oct 17, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 0 |
