AI RESEARCH
Differentiable Kernel Ridge Regression for Deep Learning Pipelines
arXiv CS.LG
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ArXi:2605.02313v1 Announce Type: new Deep neural networks dominate modern machine learning, while alternative function approximators remain comparatively underexplored at scale. In this work, we revisit kernel methods as drop-in components for standard deep learning pipelines. We