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| Bilinear Input Normalization for Neural Networks in Financial Forecasting | Sep 1, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Channel-Aware Low-Rank Adaptation in Time Series Forecasting | Jul 24, 2024 | Time SeriesTime Series Forecasting | CodeCode Available | 1 | 5 |
| Unlocking the Potential of Deep Learning in Peak-Hour Series Forecasting | Jul 4, 2023 | DecoderTime Series | CodeCode Available | 1 | 5 |
| A Time Series is Worth Five Experts: Heterogeneous Mixture of Experts for Traffic Flow Prediction | Sep 26, 2024 | Mixture-of-ExpertsPrediction | CodeCode Available | 1 | 5 |
| A Deep Learning Approach to Analyzing Continuous-Time Systems | Sep 25, 2022 | Deep LearningTime Series | CodeCode Available | 1 | 5 |
| On the difficulty of learning chaotic dynamics with RNNs | Oct 14, 2021 | Time SeriesTime Series Analysis | CodeCode Available | 1 | 5 |
| Autoencoder Based Iterative Modeling and Multivariate Time-Series Subsequence Clustering Algorithm | Sep 9, 2022 | ClusteringClustering Algorithms Evaluation | CodeCode Available | 1 | 5 |
| Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction | Nov 9, 2023 | Computational EfficiencyTime Series | CodeCode Available | 1 | 5 |
| Time2Lang: Bridging Time-Series Foundation Models and Large Language Models for Health Sensing Beyond Prompting | Feb 11, 2025 | Time Series | CodeCode Available | 1 | 5 |