| Blending gradient boosted trees and neural networks for point and probabilistic forecasting of hierarchical time series | Oct 19, 2023 | DiversityFeature Engineering | CodeCode Available | 1 | 5 |
| Improving Deep Learning Interpretability by Saliency Guided Training | Nov 29, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| An Analysis of Linear Time Series Forecasting Models | Mar 21, 2024 | Formregression | CodeCode Available | 1 | 5 |
| CUTS: Neural Causal Discovery from Irregular Time-Series Data | Feb 15, 2023 | Causal DiscoveryGraph Neural Network | CodeCode Available | 1 | 5 |
| Conditional GAN for timeseries generation | Jun 30, 2020 | Generative Adversarial NetworkTime Series | CodeCode Available | 1 | 5 |
| Light Curve Classification with DistClassiPy: a new distance-based classifier | Mar 18, 2024 | AstronomyClassification | CodeCode Available | 1 | 5 |
| Conditional Sig-Wasserstein GANs for Time Series Generation | Jun 9, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| LightTS: Lightweight Time Series Classification with Adaptive Ensemble Distillation -- Extended Version | Feb 24, 2023 | ClassificationDecision Making | CodeCode Available | 1 | 5 |
| BlackGoose Rimer: Harnessing RWKV-7 as a Simple yet Superior Replacement for Transformers in Large-Scale Time Series Modeling | Mar 8, 2025 | Meta-LearningTime Series | CodeCode Available | 1 | 5 |
| CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting | Jun 4, 2024 | Dataset CondensationTime Series | CodeCode Available | 1 | 5 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters | Aug 16, 2023 | ChatbotMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Local Evaluation of Time Series Anomaly Detection Algorithms | Jun 27, 2022 | Anomaly DetectionTime Series | CodeCode Available | 1 | 5 |
| Automatic Change-Point Detection in Time Series via Deep Learning | Nov 7, 2022 | Change Point DetectionDeep Learning | CodeCode Available | 1 | 5 |
| Log Neural Controlled Differential Equations: The Lie Brackets Make a Difference | Feb 28, 2024 | MambaTime Series | CodeCode Available | 1 | 5 |
| Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition | Oct 25, 2021 | Action RecognitionAction Recognition In Videos | CodeCode Available | 1 | 5 |
| BolT: Fused Window Transformers for fMRI Time Series Analysis | May 23, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Conformal Prediction for Time Series with Modern Hopfield Networks | Mar 22, 2023 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Conformal prediction set for time-series | Jun 15, 2022 | Conformal PredictionPrediction | CodeCode Available | 1 | 5 |
| Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributions from Data | Sep 12, 2020 | DenoisingDiversity | CodeCode Available | 1 | 5 |
| Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling | Oct 18, 2022 | ImputationIrregular Time Series | CodeCode Available | 1 | 5 |
| Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks | May 24, 2020 | Graph LearningGraph Neural Network | CodeCode Available | 1 | 5 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| Long-term series forecasting with Query Selector -- efficient model of sparse attention | Jul 19, 2021 | Multivariate Time Series ForecastingTime Series | CodeCode Available | 1 | 5 |
| Inference via Interpolation: Contrastive Representations Provably Enable Planning and Inference | Mar 6, 2024 | Contrastive LearningTime Series | CodeCode Available | 1 | 5 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Neural graphical modelling in continuous-time: consistency guarantees and algorithms | May 6, 2021 | Causal DiscoveryGraph Learning | CodeCode Available | 1 | 5 |
| Imaging Time-Series to Improve Classification and Imputation | Jun 1, 2015 | ClassificationGeneral Classification | CodeCode Available | 1 | 5 |
| MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series | Feb 11, 2025 | Anomaly DetectionAnomaly Localization | CodeCode Available | 1 | 5 |
| Machine Learning-Based Unbalance Detection of a Rotating Shaft Using Vibration Data | May 26, 2020 | BIG-bench Machine LearningDiagnostic | CodeCode Available | 1 | 5 |
| Machine Learning Time Series Regressions with an Application to Nowcasting | May 28, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Construe: a software solution for the explanation-based interpretation of time series | Mar 17, 2020 | Atrial Fibrillation DetectionHeartbeat Classification | CodeCode Available | 1 | 5 |
| Continuous-Time Deep Glioma Growth Models | Jun 23, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping | Jun 12, 2023 | Correlated Time Series ForecastingRepresentation Learning | CodeCode Available | 1 | 5 |
| Continual Transformers: Redundancy-Free Attention for Online Inference | Jan 17, 2022 | Action DetectionAudio Classification | CodeCode Available | 1 | 5 |
| BioDiffusion: A Versatile Diffusion Model for Biomedical Signal Synthesis | Jan 12, 2024 | Time Series | CodeCode Available | 1 | 5 |
| ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection | Jul 3, 2023 | Anomaly DetectionImputation | CodeCode Available | 1 | 5 |
| Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks | Feb 22, 2022 | Domain AdaptationTime Series | CodeCode Available | 1 | 5 |
| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Continuous Latent Process Flows | Jun 29, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Continuous Urban Change Detection from Satellite Image Time Series with Temporal Feature Refinement and Multi-Task Integration | Jun 25, 2024 | Change DetectionMulti-Task Learning | CodeCode Available | 1 | 5 |
| Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations | Jun 16, 2022 | Causal Inferencecounterfactual | CodeCode Available | 1 | 5 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Hypertension Detection From High-Dimensional Representation of Photoplethysmogram Signals | Jul 31, 2023 | Blood pressure estimationHypertension detection | CodeCode Available | 1 | 5 |
| Contrastive Learning for Unsupervised Domain Adaptation of Time Series | Jun 13, 2022 | Contrastive LearningDomain Adaptation | CodeCode Available | 1 | 5 |
| Improved Online Conformal Prediction via Strongly Adaptive Online Learning | Feb 15, 2023 | Conformal Predictionimage-classification | CodeCode Available | 1 | 5 |
| auto-sktime: Automated Time Series Forecasting | Dec 13, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Human Activity Segmentation Challenge @ ECML/PKDD’23 | Sep 18, 2023 | Activity RecognitionChange Point Detection | CodeCode Available | 1 | 5 |
| CARLA: Self-supervised Contrastive Representation Learning for Time Series Anomaly Detection | Aug 18, 2023 | Anomaly DetectionContrastive Learning | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
