| Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting | Oct 8, 2024 | DecoderDenoising | CodeCode Available | 1 | 5 |
| Differentiable Divergences Between Time Series | Oct 16, 2020 | Dynamic Time WarpingTime Series | 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 |
| DiffPLF: A Conditional Diffusion Model for Probabilistic Forecasting of EV Charging Load | Feb 21, 2024 | DenoisingLoad Forecasting | CodeCode Available | 1 | 5 |
| Diffusion-based Conditional ECG Generation with Structured State Space Models | Jan 19, 2023 | State Space ModelsSynthetic Data Generation | CodeCode Available | 1 | 5 |
| Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting | Jul 6, 2020 | Graph GenerationGraph Neural Network | CodeCode Available | 1 | 5 |
| Backdoor Attacks on Time Series: A Generative Approach | Nov 15, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Bearing Fault Diagnosis Base on Multi-scale CNN and LSTM Model | Jun 5, 2020 | ClassificationDiagnostic | CodeCode Available | 1 | 5 |
| Axial-LOB: High-Frequency Trading with Axial Attention | Dec 4, 2022 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting | Oct 3, 2024 | EpidemiologyMultivariate Time Series Forecasting | CodeCode Available | 1 | 5 |
| Differentiable Compositional Kernel Learning for Gaussian Processes | Jun 12, 2018 | Bayesian OptimizationGaussian Processes | CodeCode Available | 1 | 5 |
| Discovering Predictable Latent Factors for Time Series Forecasting | Mar 18, 2023 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Detach-ROCKET: Sequential feature selection for time series classification with random convolutional kernels | Sep 25, 2023 | Anomaly DetectionComputational Efficiency | CodeCode Available | 1 | 5 |
| DEPTS: Deep Expansion Learning for Periodic Time Series Forecasting | Mar 15, 2022 | SchedulingTime Series | CodeCode Available | 1 | 5 |
| Detecting Anomalies within Time Series using Local Neural Transformations | Feb 8, 2022 | Anomaly DetectionEpidemiology | CodeCode Available | 1 | 5 |
| Delhi air quality prediction using LSTM deep learning models with a focus on COVID-19 lockdown | Feb 21, 2021 | DecoderTime Series | CodeCode Available | 1 | 5 |
| Accelerating Recurrent Neural Networks for Gravitational Wave Experiments | Jun 26, 2021 | High-Level SynthesisTime Series | CodeCode Available | 1 | 5 |
| Denoising-Aware Contrastive Learning for Noisy Time Series | Jun 7, 2024 | Contrastive LearningDenoising | CodeCode Available | 1 | 5 |
| Detecting Looted Archaeological Sites from Satellite Image Time Series | Sep 14, 2024 | Time Series | CodeCode Available | 1 | 5 |
| Adaptive Conformal Predictions for Time Series | Feb 15, 2022 | Conformal PredictionDecision Making | CodeCode Available | 1 | 5 |
| DeepVATS: Deep Visual Analytics for Time Series | Feb 8, 2023 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| DeformTime: Capturing Variable Dependencies with Deformable Attention for Time Series Forecasting | Jun 11, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| auto-sktime: Automated Time Series Forecasting | Dec 13, 2023 | AutoMLBayesian Optimization | CodeCode Available | 1 | 5 |
| Autoregressive Moving-average Attention Mechanism for Time Series Forecasting | Oct 4, 2024 | DecoderTime Series | CodeCode Available | 1 | 5 |
| DEGAN: Time Series Anomaly Detection using Generative Adversarial Network Discriminators and Density Estimation | Oct 5, 2022 | Anomaly DetectionDensity Estimation | CodeCode Available | 1 | 5 |
| Detection of gravitational-wave signals from binary neutron star mergers using machine learning | Jun 2, 2020 | BIG-bench Machine LearningSensitivity | CodeCode Available | 1 | 5 |
| Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case | Jan 23, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| Deep Time Series Forecasting with Shape and Temporal Criteria | Apr 9, 2021 | Change DetectionDiversity | CodeCode Available | 1 | 5 |
| DeepUnifiedMom: Unified Time-series Momentum Portfolio Construction via Multi-Task Learning with Multi-Gate Mixture of Experts | Jun 13, 2024 | ManagementMixture-of-Experts | CodeCode Available | 1 | 5 |
| Deeptime: a Python library for machine learning dynamical models from time series data | Oct 28, 2021 | Time SeriesTime Series Analysis | 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 |
| Deep Switching Auto-Regressive Factorization:Application to Time Series Forecasting | Sep 10, 2020 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Deep Unsupervised Domain Adaptation for Time Series Classification: a Benchmark | Dec 15, 2023 | Activity RecognitionDomain Adaptation | CodeCode Available | 1 | 5 |
| Automated Evolutionary Approach for the Design of Composite Machine Learning Pipelines | Jun 26, 2021 | BIG-bench Machine LearningManagement | CodeCode Available | 1 | 5 |
| Deep Semi-Supervised Learning for Time Series Classification | Feb 6, 2021 | ClassificationData Augmentation | CodeCode Available | 1 | 5 |
| Deep Learning Statistical Arbitrage | Jun 8, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Deep Recurrent Model for Individualized Prediction of Alzheimer's Disease Progression | May 6, 2020 | ImputationMissing Values | CodeCode Available | 1 | 5 |
| DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing | Nov 7, 2016 | Activity RecognitionGeneral Classification | CodeCode Available | 1 | 5 |
| AGNet: Weighing Black Holes with Machine Learning | Nov 30, 2020 | BIG-bench Machine LearningTime Series | CodeCode Available | 1 | 5 |
| AGNet: Weighing Black Holes with Deep Learning | Aug 17, 2021 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| Deep Learning for Time Series Classification and Extrinsic Regression: A Current Survey | Feb 6, 2023 | Activity RecognitionClassification | CodeCode Available | 1 | 5 |
| Deep Stock Predictions | Jun 8, 2020 | Portfolio OptimizationPrediction | CodeCode Available | 1 | 5 |
| Deep Switching State Space Model (DS^3M) for Nonlinear Time Series Forecasting with Regime Switching | Jun 4, 2021 | Time SeriesTime Series Analysis | 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 |
| Automatic Posterior Transformation for Likelihood-Free Inference | May 17, 2019 | Bayesian InferenceTime Series | CodeCode Available | 1 | 5 |
| Time series forecasting with Gaussian Processes needs priors | Sep 17, 2020 | Gaussian ProcessesTime Series | CodeCode Available | 1 | 5 |
| Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE | Jun 3, 2020 | General Classificationimage-classification | CodeCode Available | 1 | 5 |
| Automatically identifying ordinary differential equations from data | Apr 21, 2023 | Denoisingregression | CodeCode Available | 1 | 5 |
| Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm | Sep 9, 2022 | ClusteringClustering Algorithms Evaluation | CodeCode Available | 1 | 5 |
| Deep reconstruction of strange attractors from time series | Feb 14, 2020 | Dimensionality ReductionTime Series | CodeCode Available | 1 | 5 |
