FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series Forecasting Jun 19, 2023 Inductive Bias Time Series
Code Code Available 1Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and Prospects Jun 16, 2023 Anomaly Detection Self-Supervised Learning
Code Code Available 2Deep Learning for Energy Time-Series Analysis and Forecasting Jun 15, 2023 Deep Learning Demand Forecasting
— Unverified 0TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting Jun 14, 2023 Multivariate Time Series Forecasting Representation Learning
Code Code Available 2GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting Jun 14, 2023 Multivariate Time Series Forecasting Time Series
Code Code Available 0Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative Study Jun 13, 2023 Data Augmentation Time Series
Code Code Available 0Making forecasting self-learning and adaptive -- Pilot forecasting rack Jun 12, 2023 Feature Engineering Self-Learning
— Unverified 0MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting Jun 12, 2023 Time Series Time Series Forecasting
— Unverified 0Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping Jun 12, 2023 Correlated Time Series Forecasting Representation Learning
Code Code Available 1Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting Approach Jun 11, 2023 regression Time Series
Code Code Available 1QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI Forecasting Jun 9, 2023 Anomaly Detection Time Series
Code Code Available 0Long term 5G network traffic forecasting via modeling non-stationarity with deep learning Jun 6, 2023 Time Series Time Series Forecasting
Code Code Available 1Non-parametric Probabilistic Time Series Forecasting via Innovations Representation Jun 5, 2023 Decision Making Decoder
— Unverified 0Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting Jun 4, 2023 Multivariate Time Series Forecasting Time Series
— Unverified 0PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep Learning Jun 1, 2023 Time Series Time Series Forecasting
Code Code Available 0Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal Context Jun 1, 2023 Solar Irradiance Forecasting Time Series
Code Code Available 1An End-to-End Time Series Model for Simultaneous Imputation and Forecast Jun 1, 2023 Imputation Missing Values
— Unverified 0Learning Gaussian Mixture Representations for Tensor Time Series Forecasting Jun 1, 2023 Representation Learning Time Series
Code Code Available 1EAMDrift: An interpretable self retrain model for time series May 31, 2023 Time Series Time Series Forecasting
— Unverified 0Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series Forecasting May 30, 2023 Decoder Time Series
Code Code Available 1Graph-based Time Series Clustering for End-to-End Hierarchical Forecasting May 30, 2023 Clustering Time Series
Code Code Available 1PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series May 30, 2023 Anomaly Detection Classification
Code Code Available 2Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic Forecasting May 30, 2023 Spatio-Temporal Forecasting Time Series Forecasting
Code Code Available 1A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting May 28, 2023 Inductive Bias Time Series
Code Code Available 0Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with Transformers May 28, 2023 Time Series Time Series Forecasting
Code Code Available 0Better Batch for Deep Probabilistic Time Series Forecasting May 26, 2023 Decision Making Probabilistic Time Series Forecasting
Code Code Available 0Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting May 25, 2023 Time Series Time Series Forecasting
— Unverified 0TLNets: Transformation Learning Networks for long-range time-series prediction May 25, 2023 Time Series Time Series Forecasting
— Unverified 0Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting May 25, 2023 Prediction Time Series
— Unverified 0Feature-aligned N-BEATS with Sinkhorn divergence May 24, 2023 Domain Generalization Representation Learning
Code Code Available 0A Joint Time-frequency Domain Transformer for Multivariate Time Series Forecasting May 24, 2023 Multivariate Time Series Forecasting Time Series
Code Code Available 1Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting May 22, 2023 Multivariate Time Series Forecasting Time Series
Code Code Available 1Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare May 22, 2023 Scheduling Time Series
— Unverified 0CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting May 20, 2023 Time Series Time Series Forecasting
Code Code Available 1Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping May 18, 2023 Time Series Time Series Forecasting
Code Code Available 1Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources May 17, 2023 Load Forecasting Management
— Unverified 0pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting May 16, 2023 Probabilistic Time Series Forecasting Time Series
— Unverified 0Differential Convolutional Fuzzy Time Series Forecasting May 15, 2023 Time Series Time Series Forecasting
— Unverified 0HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting May 14, 2023 Time Series Time Series Forecasting
— Unverified 0A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields May 11, 2023 Autonomous Driving Open-Ended Question Answering
— Unverified 0How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? May 11, 2023 Graph Neural Network Time Series
— Unverified 0Explainable Parallel RCNN with Novel Feature Representation for Time Series Forecasting May 8, 2023 Decoder Time Series
Code Code Available 0Mlinear: Rethink the Linear Model for Time-series Forecasting May 8, 2023 Philosophy Time Series
— Unverified 0Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting May 5, 2023 Meta-Learning Time Series
Code Code Available 1Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified Models May 4, 2023 Few-Shot Learning Graph Clustering
Code Code Available 0Forecast reconciliation for vaccine supply chain optimization May 2, 2023 Time Series Time Series Forecasting
— Unverified 0Expanding the Prediction Capacity in Long Sequence Time-Series Forecasting May 1, 2023 Decoder Time Series
— Unverified 0Diffusion Models for Time Series Applications: A Survey May 1, 2023 Imputation Survey
— Unverified 0Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-2022 Apr 21, 2023 Deep Learning Model Selection
— Unverified 0Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting Apr 21, 2023 Time Series Time Series Forecasting
— Unverified 0