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| Fourier-RNNs for Modelling Noisy Physics Data | Feb 13, 2023 | Operator learningTime Series | —Unverified | 0 |
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| Efficient Online Hyperparameter Optimization for Kernel Ridge Regression with Applications to Traffic Time Series Prediction | Nov 1, 2018 | BIG-bench Machine LearningComputational Efficiency | —Unverified | 0 |
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| Bridging the Modality Gap: Enhancing Channel Prediction with Semantically Aligned LLMs and Knowledge Distillation | May 19, 2025 | Knowledge DistillationPrediction | —Unverified | 0 |
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| Evolutionary Ensemble Learning for Multivariate Time Series Prediction | Aug 22, 2021 | Ensemble LearningPrediction | —Unverified | 0 |
| Excess risk bound for deep learning under weak dependence | Feb 15, 2023 | Deep LearningTime Series | —Unverified | 0 |
| Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models | Jun 5, 2024 | Mixture-of-ExpertsTime Series | —Unverified | 0 |
| Experimental demonstration of bandwidth enhancement in photonic time delay reservoir computing | Jan 11, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| Effect of temporal resolution on the reproduction of chaotic dynamics via reservoir computing | Jan 27, 2023 | Time SeriesTime Series Analysis | —Unverified | 0 |
| An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution | Sep 20, 2019 | Neural Architecture SearchTime Series | —Unverified | 0 |
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| EAMDrift: An interpretable self retrain model for time series | May 31, 2023 | Time SeriesTime Series Forecasting | —Unverified | 0 |