Scalable Random Wavelet Features: Efficient Non-Stationary Kernel Approximation with Convergence GuaranteesJan 1, 2025·Sawan Kumar,Souvik Chakraborty· 0 min read arXivTypePreprintPublicationarXivLast updated on Jan 1, 2025Random Features Wavelets Kernel Approximation Non-Stationary Kernels Convergence Analysis ← Scalable h-adaptive probabilistic solver for time-independent and time-dependent systems Jan 1, 2026Towards Gaussian Process for operator learning: An uncertainty aware resolution independent operator learning algorithm for computational mechanics Dec 28, 2024 →