| FilterTS: Comprehensive Frequency Filtering for Multivariate Time Series Forecasting | May 7, 2025 | Computational EfficiencyMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| A Neural PDE Solver with Temporal Stencil Modeling | Feb 16, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| An Experimental Review on Deep Learning Architectures for Time Series Forecasting | Mar 22, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series Forecasting | May 24, 2025 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals | Nov 23, 2020 | Explainable ModelsGeneral Classification | CodeCode Available | 1 | 5 |
| Fine-grained Attention in Hierarchical Transformers for Tabular Time-series | Jun 21, 2024 | Time Series | CodeCode Available | 1 | 5 |
| An Extreme-Adaptive Time Series Prediction Model Based on Probability-Enhanced LSTM Neural Networks | Nov 29, 2022 | PredictionTime Series | CodeCode Available | 1 | 5 |
| Building an Automated and Self-Aware Anomaly Detection System | Nov 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Explainable Deep Convolutional Candlestick Learner | Jan 8, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Correlation-aware Unsupervised Change-point Detection via Graph Neural Networks | Apr 24, 2020 | Change Point DetectionDecoder | CodeCode Available | 1 | 5 |
| CAFO: Feature-Centric Explanation on Time Series Classification | Jun 3, 2024 | ClassificationFeature Importance | CodeCode Available | 1 | 5 |
| Bayesian hierarchical stacking: Some models are (somewhere) useful | Jan 22, 2021 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Python Library for Deep Learning-Based Event Detection in Multivariate Time Series Data and Information Retrieval in NLP | Oct 25, 2023 | Binary ClassificationDeep Learning | CodeCode Available | 1 | 5 |
| Bayesian Neural Architecture Search using A Training-Free Performance Metric | Jan 29, 2020 | Bayesian OptimizationNeural Architecture Search | CodeCode Available | 1 | 5 |
| Can LLMs Understand Time Series Anomalies? | Oct 7, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| CANShield: Deep Learning-Based Intrusion Detection Framework for Controller Area Networks at the Signal-Level | May 3, 2022 | Intrusion DetectionTime Series | CodeCode Available | 1 | 5 |
| FLAIR #2: textural and temporal information for semantic segmentation from multi-source optical imagery | May 23, 2023 | Earth ObservationSemantic Segmentation | CodeCode Available | 1 | 5 |
| Evolving Multi-Scale Normalization for Time Series Forecasting under Distribution Shifts | Sep 29, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| FlexTSF: A Universal Forecasting Model for Time Series with Variable Regularities | Oct 30, 2024 | Irregular Time SeriesMissing Values | CodeCode Available | 1 | 5 |
| Explainable Time Series Anomaly Detection using Masked Latent Generative Modeling | Nov 21, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Explaining Time Series Predictions with Dynamic Masks | Jun 9, 2021 | BIG-bench Machine LearningFeature Importance | CodeCode Available | 1 | 5 |
| Forecasting in Non-stationary Environments with Fuzzy Time Series | Apr 27, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Forecasting Irregularly Sampled Time Series using Graphs | May 22, 2023 | AstronomyMissing Values | CodeCode Available | 1 | 5 |
| BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis | Oct 31, 2023 | Contrastive LearningSelf-Supervised Learning | CodeCode Available | 1 | 5 |
| catch22: CAnonical Time-series CHaracteristics | Jan 29, 2019 | ClassificationClustering | CodeCode Available | 1 | 5 |
| CATS: Enhancing Multivariate Time Series Forecasting by Constructing Auxiliary Time Series as Exogenous Variables | Mar 4, 2024 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Causal and Local Correlations Based Network for Multivariate Time Series Classification | Nov 27, 2024 | Graph Neural NetworkTime Series | CodeCode Available | 1 | 5 |
| A biologically plausible neural network for Slow Feature Analysis | Oct 23, 2020 | HippocampusTime Series | CodeCode Available | 1 | 5 |
| Causal Discovery from Subsampled Time Series with Proxy Variables | May 9, 2023 | Causal DiscoveryCausal Identification | CodeCode Available | 1 | 5 |
| Causal Discovery in Semi-Stationary Time Series | Jul 10, 2024 | Causal DiscoveryTime Series | CodeCode Available | 1 | 5 |
| Forecasting with time series imaging | Apr 17, 2019 | Model SelectionTime Series | CodeCode Available | 1 | 5 |
| Advancing the State-of-the-Art for ECG Analysis through Structured State Space Models | Nov 14, 2022 | ECG ClassificationState Space Models | CodeCode Available | 1 | 5 |
| Battling the Non-stationarity in Time Series Forecasting via Test-time Adaptation | Jan 9, 2025 | Test-time AdaptationTime Series | CodeCode Available | 1 | 5 |
| A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction | Jan 31, 2024 | DecoderGraph Learning | CodeCode Available | 1 | 5 |
| Causal Forecasting:Generalization Bounds for Autoregressive Models | Nov 18, 2021 | Learning TheoryTime Series | CodeCode Available | 1 | 5 |
| Exathlon: A Benchmark for Explainable Anomaly Detection over Time Series | Oct 10, 2020 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme | May 8, 2023 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| CausalMob: Causal Human Mobility Prediction with LLMs-derived Human Intentions toward Public Events | Dec 3, 2024 | ArticlesCausal Inference | CodeCode Available | 1 | 5 |
| Causal Recurrent Variational Autoencoder for Medical Time Series Generation | Jan 16, 2023 | Causal InferenceDecoder | CodeCode Available | 1 | 5 |
| Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark | Oct 12, 2015 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| FreqMoE: Enhancing Time Series Forecasting through Frequency Decomposition Mixture of Experts | Jan 25, 2025 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| CESNET-TimeSeries24: Time Series Dataset for Network Traffic Anomaly Detection and Forecasting | Sep 27, 2024 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| An End-to-end Deep Reinforcement Learning Approach for the Long-term Short-term Planning on the Frenet Space | Nov 26, 2020 | Decision MakingDeep Reinforcement Learning | CodeCode Available | 1 | 5 |
| An Empirical Survey of Data Augmentation for Time Series Classification with Neural Networks | Jul 31, 2020 | Data AugmentationGeneral Classification | CodeCode Available | 1 | 5 |
| Change Point Detection in Time Series Data using Autoencoders with a Time-Invariant Representation | Aug 21, 2020 | Change Point DetectionTime Series | CodeCode Available | 1 | 5 |
| A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data | Jul 20, 2020 | Few-Shot LearningMulti-Task Learning | CodeCode Available | 1 | 5 |
| Chaos as an interpretable benchmark for forecasting and data-driven modelling | Oct 11, 2021 | BenchmarkingSymbolic Regression | CodeCode Available | 1 | 5 |
| Changing Fashion Cultures | Mar 23, 2017 | Cultural Vocal Bursts Intensity PredictionTime Series | CodeCode Available | 1 | 5 |
| Badgers: generating data quality deficits with Python | Jul 10, 2023 | Time Series | CodeCode Available | 1 | 5 |
