CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting May 22, 2025 All Multivariate Time Series Forecasting
— Unverified 0 Enhanced Prediction Model for Time Series Characterized by GARCH via Interval Type-2 Fuzzy Inference System May 3, 2025 Time Series Time Series Forecasting
— Unverified 0 Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework Oct 8, 2024 Time Series Time Series Forecasting
— Unverified 0 Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models Aug 24, 2021 Articles BIG-bench Machine Learning
— Unverified 0 Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods Nov 5, 2024 Time Series Time Series Forecasting
— Unverified 0 Byte Pair Encoding for Efficient Time Series Forecasting May 20, 2025 Time Series Time Series Analysis
— Unverified 0 A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information Oct 13, 2023 Time Series Time Series Forecasting
— Unverified 0 Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting Apr 13, 2025 Meta-Learning Time Series
— Unverified 0 Energy consumption forecasting using a stacked nonparametric Bayesian approach Nov 11, 2020 Time Series Time Series Analysis
— Unverified 0 End-to-End Probabilistic Framework for Learning with Hard Constraints Jun 8, 2025 Probabilistic Time Series Forecasting scoring rule
— Unverified 0 Encoding Temporal Statistical-space Priors via Augmented Representation Jan 30, 2024 Time Series Time Series Forecasting
— Unverified 0 Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching Jul 9, 2025 Time Series Time Series Forecasting
— Unverified 0 Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon Aug 8, 2024 Anomaly Detection Prediction
— Unverified 0 Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network Sep 5, 2023 Demand Forecasting Time Series
— Unverified 0 Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning Dec 23, 2024 Time Series Time Series Forecasting
— Unverified 0 Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming Aug 24, 2024 energy management Language Modeling
— Unverified 0 Empirical analysis of daily cash flow time series and its implications for forecasting Jun 29, 2017 Management Time Series
— Unverified 0 Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting Apr 27, 2025 Decision Making Time Series
— Unverified 0 An Introductory Study on Time Series Modeling and Forecasting Feb 26, 2013 Time Series Time Series Analysis
— Unverified 0 Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting May 23, 2020 EEG Electroencephalogram (EEG)
— Unverified 0 Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities Jul 26, 2023 Gaussian Processes Time Series
— Unverified 0 Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting Oct 4, 2024 Probabilistic Time Series Forecasting Time Series
— Unverified 0 EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection Oct 30, 2024 Continual Learning Hallucination
— Unverified 0 Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems Mar 24, 2025 Computational Efficiency Gaussian Processes
— Unverified 0 Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting Nov 16, 2023 Computational Efficiency Time Series Forecasting
— Unverified 0 An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction Jan 11, 2022 Descriptive regression
— Unverified 0 Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures Aug 27, 2024 Multivariate Time Series Forecasting Time Series
— Unverified 0 Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation Feb 27, 2025 Time Series Time Series Forecasting
— Unverified 0 BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges Nov 9, 2024 Language Modeling Language Modelling
— Unverified 0 Efficient Model Selection for Time Series Forecasting via LLMs Apr 2, 2025 Meta-Learning Model Selection
— Unverified 0 Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data Apr 26, 2024 Time Series Time Series Forecasting
— Unverified 0 Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation Feb 6, 2018 Time Series Time Series Analysis
— Unverified 0 EffiCANet: Efficient Time Series Forecasting with Convolutional Attention Nov 7, 2024 Computational Efficiency Time Series
— Unverified 0 An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System Dec 8, 2020 Time Series Time Series Analysis
— Unverified 0 Edge-Varying Fourier Graph Networks for Multivariate Time Series Forecasting Oct 6, 2022 Multivariate Time Series Forecasting Time Series
— Unverified 0 Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble Sep 4, 2024 Adversarial Robustness Time Series
— Unverified 0 Echo State Networks trained by Tikhonov least squares are L2(μ) approximators of ergodic dynamical systems May 14, 2020 regression Time Series
— Unverified 0 Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting Mar 2, 2022 Ensemble Learning Time Series
— Unverified 0 EasyTime: Time Series Forecasting Made Easy Dec 23, 2024 Time Series Time Series Forecasting
— Unverified 0 Boosted Embeddings for Time Series Forecasting Apr 10, 2021 Deep Learning Time Series
— Unverified 0 Bond Graphs for multi-physics informed Neural Networks for multi-variate time series May 22, 2024 Graph Neural Network Inductive Bias
— Unverified 0 A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting Feb 22, 2020 Time Series Time Series Analysis
— Unverified 0 Adversarial attacks against Bayesian forecasting dynamic models Oct 20, 2021 regression Time Series
— Unverified 0 AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks Jan 10, 2025 Age Estimation Multi-Task Learning
— Unverified 0 EAMDrift: An interpretable self retrain model for time series May 31, 2023 Time Series Time Series Forecasting
— Unverified 0 Dynamic Relation Discovery and Utilization in Multi-Entity Time Series Forecasting Feb 18, 2022 Graph Learning Graph Neural Network
— Unverified 0 Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting Apr 4, 2025 Clustering Time Series
— Unverified 0 Stochastically forced ensemble dynamic mode decomposition for forecasting and analysis of near-periodic systems Oct 8, 2020 GPR Load Forecasting
— Unverified 0 A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain Aug 5, 2021 energy management Load Forecasting
— Unverified 0 Dynamic Clustering in Federated Learning Dec 7, 2020 Clustering Federated Learning
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