Kernel Reboot: Breaking the Boundaries of Neural Tangent Kernels for Neural Fields
This work shows that NTK-driven neural fields can be made both non-linear and meta-learnable, narrowing the gap between analytic kernels and practical few-shot reconstruction.
Amir Mallak, Alaa Maalouf, Lior Wolf et al.
· IEEE Transactions on Pattern... · 1 citation