FAIR

论文略读：TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

VLDB 2024包含来自 10 个不同领域的时间序列提供一个灵活、可扩展且一致的评估流程对包括统计学习、机器学习和深度学习在内的多种时间序列预测方法进行全面且无偏见的评估1 intro之前的benchmark存在的问题数据集覆盖不足现有的

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A comprehensive and FAIR comparison between MLP and KAN representations for differential equations笔记

https:www.yuquepjm616vtkix3kf80iz44lagvm7z6?singleDoc#论文《A comprehensive and FAIR comparison between MLP and KAN r

笔记 Comparison MLP Comprehensive FAIR

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