Latest Research in Machine Learning

Top Research Topics in Machine Learning

• Machine Learning — 40 papers
• Forecasting Techniques and Applications — 9 papers
• Artificial Intelligence — 8 papers
• Traffic Prediction and Management Techniques — 4 papers
• Time Series Analysis and Forecasting — 3 papers
• Meteorological Phenomena and Simulations — 3 papers
• Machine Learning — 2 papers
• Methodology — 2 papers
• Advanced Statistical Methods and Models — 2 papers
• Machine Learning in Healthcare — 2 papers

Highest-Cited Papers

1. Delay-coupled multi-branch reservoir computing with cross-pooled interactions for long-horizon chaotic dynamics forecasting
2. DeMa: dual-path delay-aware Mamba for efficient multivariate time series analysis
3. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
4. Statistical Inference and Structural Break Detection in Nonstationary ARMA Model With Dependent Innovations
5. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
6. Prequential Streaming Evaluation of Stateful Time-Series Forecasters with Online Conformal Calibration: A Diagnostic Atlas and the preqts Harness
7. An Intelligent Multi-Source Data Fusion Framework for Predicting Key Parameter Trends in Natural Gas Compressor Units
8. Temporal Structural Forecasting: Constructing the {4,5,6} Forecast Distribution Object
9. Temporal Structural Forecasting: Constructing the {4,5,6} Forecast Distribution Object
10. SETTer: Sparse-Encoder Transformer for Long-term Multivariate Time Series Forecasting
11. CoRe: Coherence and Relational Alignment for Multivariate Time Series Forecasting
12. QUALS: Corpus Equilibrium for Universal Forecasting via Pattern Quantization and Learnability Synchronization
13. Fast Training of Mixture-of-Experts for Time Series Forecasting via Expert Loss Integration
14. Which Histories Matter for Time Series Forecasting? Learning Predictive Relevance with Future Supervision
15. Post-Training in Time Series Foundation Models: A Unifying Framework
16. Improving long-horizon forecasting of neural networks via spectral features and decomposition
17. SPEAR NeXT Causal Latent Forecasting Across Multiple Horizons for Spectral Temporal Earth Representation Learning
18. Coherent Hierarchical Forecasting for Proportion and Discrete Time Series
19. Learning Predictive Memory: Adaptation and Length Extrapolation in Time-Series Transformers
20. Learning Predictive Memory: Adaptation and Length Extrapolation in Time-Series Transformers