| Differentiable Dynamic Programming for Structured Prediction and Attention | Feb 11, 2018 | Machine TranslationPrediction | —Unverified | 0 |
| Enhancing Mean-Reverting Time Series Prediction with Gaussian Processes: Functional and Augmented Data Structures in Financial Forecasting | Feb 23, 2024 | Gaussian ProcessesTime Series | —Unverified | 0 |
| Agentic Retrieval-Augmented Generation for Time Series Analysis | Aug 18, 2024 | RAGRetrieval | —Unverified | 0 |
| Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks | Jul 15, 2024 | Time SeriesTime Series Forecasting | —Unverified | 0 |
| Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification | Aug 22, 2024 | Benchmarkingcounterfactual | —Unverified | 0 |
| A New Time Series Similarity Measure and Its Smart Grid Applications | Oct 19, 2023 | Anomaly DetectionDynamic Time Warping | —Unverified | 0 |
| Causal Disentanglement Hidden Markov Model for Fault Diagnosis | Aug 6, 2023 | DisentanglementDomain Adaptation | —Unverified | 0 |
| Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series | May 16, 2025 | Anomaly DetectionGenerative Adversarial Network | —Unverified | 0 |
| Enhancing Peak Network Traffic Prediction via Time-Series Decomposition | Mar 9, 2023 | PredictionTime Series | —Unverified | 0 |
| Explaining Outcomes of Multi-Party Dialogues using Causal Learning | May 3, 2021 | Time SeriesTime Series Analysis | —Unverified | 0 |
