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Found 4 papers, 2 papers with code
Scaling Transformer to 1M tokens and beyond with RMT
A major limitation for the broader scope of problems solvable by transformers is the quadratic scaling of computational complexity with input size.
Denoising Score Matching with Random Fourier Features
In this work we derive analytical expression for the Denoising Score matching using the Kernel Exponential Family as a model distribution.
Tensor Completion via Gaussian Process Based Initialization
In this paper, we consider the tensor completion problem representing the solution in the tensor train (TT) format.
Quadrature-based features for kernel approximation
We consider the problem of improving kernel approximation via randomized feature maps.
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