English(EN) TorchCurves: Differentiable Parametric Curves

PyTorch库TorchCurves引入可学习参数曲线

作者 PulseAugur 编辑部 · [1 个来源] · 2026-11-11 05:00

一个名为TorchCurves的新PyTorch库已被推出，它使得向量值参数曲线可以作为可学习组件集成到机器学习模型中。该库允许曲线系数与其他模型参数一起进行优化，或通过单独的网络进行优化。TorchCurves通过提供可训练模块和函数式接口，支持多种应用，包括连续特征嵌入、Kolmogorov-Arnold网络和函数回归。性能基准测试表明，虽然该库总体上效率很高，但对于较大的问题规模，其计算开销可能会变得相当可观。 AI

影响在PyTorch中为连续数据和函数回归提供了新的建模方法。

排序理由该集群描述了一个在arXiv上发表的用于机器学习研究的新库。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.LG 阅读 →

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Newsworthiness bucket: Tool; 该集群描述了一个在arXiv上发表的用于机器学习研究的新库。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.LG TIER_1 English(EN) · Alex Shtoff · 2026-11-11 05:00

TorchCurves：可微分参数曲线

arXiv:2611.14516v1 Announce Type: new Abstract: We present TorchCurves, a PyTorch library that treats vector-valued parametric curves as learnable primitives. Its central operation maps batches of scalar inputs to points on curves represented in B-spline or Legendre polynomial ba…

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TorchCurves：可微分参数曲线

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