| Causal Discovery from Temporal Data: An Overview and New Perspectives | Mar 17, 2023 | Causal DiscoveryTime Series | —Unverified | 0 |
| Enhancing Energy System Models Using Better Load Forecasts | Feb 21, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference | Sep 6, 2023 | Point ProcessesTime Series | —Unverified | 0 |
| Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models | Feb 9, 2025 | Large Language ModelRAG | —Unverified | 0 |
| Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation | Jun 17, 2025 | Drift DetectionFeature Engineering | —Unverified | 0 |
| Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization | Dec 6, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Causal Discovery in Financial Markets: A Framework for Nonstationary Time-Series Data | Dec 28, 2023 | Causal DiscoveryTime Series | —Unverified | 0 |
| Enhancing Graph Attention Neural Network Performance for Marijuana Consumption Classification through Large-scale Augmented Granger Causality (lsAGC) Analysis of Functional MR Images | Oct 24, 2024 | Dimensionality ReductionGraph Attention | —Unverified | 0 |
| Differentiable Multiple Shooting Layers | Jun 7, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Differentiable Dynamic Programming for Structured Prediction and Attention | Feb 11, 2018 | Machine TranslationPrediction | —Unverified | 0 |
