KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution Aug 18, 2022 Feature Engineering Imputation
— Unverified 0 KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction Dec 6, 2024 Time Series Time Series Forecasting
— Unverified 0 KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting Feb 8, 2022 Anomaly Detection Time Series
— Unverified 0 Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels Jan 3, 2024 Computational Efficiency Decoder
— Unverified 0 Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting Nov 17, 2024 Knowledge Graph Embeddings Time Series
— Unverified 0 KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators Sep 29, 2024 Time Series Time Series Forecasting
— Unverified 0 Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability Jun 4, 2024 Kolmogorov-Arnold Networks Symbolic Regression
— Unverified 0 Kolmogorov-Arnold Networks (KANs) for Time Series Analysis May 14, 2024 Kolmogorov-Arnold Networks Time Series
— Unverified 0 Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts Oct 7, 2022 Time Series Time Series Analysis
— Unverified 0 KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios Mar 5, 2022 Load Forecasting Time Series
— Unverified 0 LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization Mar 11, 2025 Domain Adaptation Domain Generalization
— Unverified 0 Large Language Model Prediction Capabilities: Evidence from a Real-World Forecasting Tournament Oct 17, 2023 Language Modeling Language Modelling
— Unverified 0 Large Language Models for Forecasting and Anomaly Detection: A Systematic Literature Review Feb 15, 2024 Anomaly Classification Anomaly Detection
— Unverified 0 Late Meta-learning Fusion Using Representation Learning for Time Series Forecasting Mar 20, 2023 Meta-Learning Representation Learning
— Unverified 0 LAVARNET: Neural Network Modeling of Causal Variable Relationships for Multivariate Time Series Forecasting Sep 2, 2020 Multivariate Time Series Forecasting Time Series
— Unverified 0 Automated Data Augmentation for Few-Shot Time Series Forecasting: A Reinforcement Learning Approach Guided by a Model Zoo Sep 10, 2024 Data Augmentation Diversity
— Unverified 0 Learning Differential Operators for Interpretable Time Series Modeling Sep 3, 2022 Decision Making Meta-Learning
— Unverified 0 Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified Time Series Forecasting Nov 9, 2021 Decoder Quantization
— Unverified 0 Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting Jul 2, 2024 Time Series Time Series Forecasting
— Unverified 0 Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data Dec 4, 2018 Time Series Time Series Analysis
— Unverified 0 Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting Jan 31, 2021 Decision Making Management
— Unverified 0 Learning K-U-Net with constant complexity: An Application to time series forecasting Oct 3, 2024 Time Series Time Series Forecasting
— Unverified 0 Learning Latent Spaces for Domain Generalization in Time Series Forecasting Dec 15, 2024 Domain Generalization Time Series
— Unverified 0 Learning Novel Transformer Architecture for Time-series Forecasting Feb 19, 2025 Neural Architecture Search Time Series
— Unverified 0 Learning Quantile Functions without Quantile Crossing for Distribution-free Time Series Forecasting Nov 12, 2021 quantile regression Time Series
— Unverified 0 Learning Theory and Algorithms for Forecasting Non-stationary Time Series Dec 1, 2015 Learning Theory Time Series
— Unverified 0 Learning the Simplest Neural ODE May 4, 2025 Time Series Time Series Forecasting
— Unverified 0 Learning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting Dec 27, 2023 Contrastive Learning Correlated Time Series Forecasting
— Unverified 0 Learning to Forget: Bayesian Time Series Forecasting using Recurrent Sparse Spectrum Signature Gaussian Processes Dec 27, 2024 Gaussian Processes GPU
— Unverified 0 LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence Mar 27, 2025 Demand Forecasting Time Series
— Unverified 0 LeMoLE: LLM-Enhanced Mixture of Linear Experts for Time Series Forecasting Nov 24, 2024 Computational Efficiency Natural Language Understanding
— Unverified 0 Less is More: Efficient Weight Farcasting with 1-Layer Neural Network May 5, 2025 Computational Efficiency Large Language Model
— Unverified 0 Less Is More: Fast Multivariate Time Series Forecasting with Light Sampling-oriented MLP Structures Jul 4, 2022 Multivariate Time Series Forecasting Time Series
— Unverified 0 Leveraging LSTM for Predictive Modeling of Satellite Clock Bias Nov 11, 2024 Time Series Forecasting
— Unverified 0 Leveraging Multivariate Long-Term History Representation for Time Series Forecasting May 20, 2025 Graph Neural Network Time Series
— Unverified 0 Leveraging Non-Decimated Wavelet Packet Features and Transformer Models for Time Series Forecasting Mar 13, 2024 Time Series Time Series Forecasting
— Unverified 0 Time-Series Foundation Models for Forecasting Soil Moisture Levels in Smart Agriculture May 29, 2024 Time Series Time Series Forecasting
— Unverified 0 Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis Mar 4, 2025 Time Series Time Series Forecasting
— Unverified 0 Lightweight Online Adaption for Time Series Foundation Model Forecasts Feb 18, 2025 Time Series Time Series Forecasting
— Unverified 0 Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare May 22, 2023 Scheduling Time Series
— Unverified 0 LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction Jun 16, 2024 Sentiment Analysis Time Series
— Unverified 0 LLMForecaster: Improving Seasonal Event Forecasts with Unstructured Textual Data Dec 3, 2024 Demand Forecasting Time Series
— Unverified 0 LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics Mar 12, 2025 Time Series Time Series Forecasting
— Unverified 0 Local Cold Load Pick-up Estimation Using Customer Energy Consumption Measurements Aug 14, 2024 Time Series Forecasting
— Unverified 0 Local vs. Global Models for Hierarchical Forecasting Nov 10, 2024 Computational Efficiency Decision Making
— Unverified 0 Long Input Sequence Network for Long Time Series Forecasting Jul 18, 2024 Time Series Time Series Forecasting
— Unverified 0 Long Short-term Memory RNN May 14, 2021 BIG-bench Machine Learning Time Series
— Unverified 0 Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling Mar 28, 2025 Tensor Decomposition Time Series
— Unverified 0 Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter Jan 29, 2025 Time Series Time Series Forecasting
— Unverified 0 Long-term Prediction of Nonlinear Time Series Using Autoencoder and Echo State Networks Sep 29, 2021 Prediction Time Series
— Unverified 0 