Sparse Kernels turn kernel ridge regression into end-to-end differentiable PyTorch layers that support training-free transfer, nonlinear probing, and hybrid models while matching or augmenting neural readouts in some settings.
Kernel ridge regression inference
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Differentiable Kernel Ridge Regression for Deep Learning Pipelines
Sparse Kernels turn kernel ridge regression into end-to-end differentiable PyTorch layers that support training-free transfer, nonlinear probing, and hybrid models while matching or augmenting neural readouts in some settings.
- A scale-free density bound for Gaussian maxima