1 citations · 1 across the 3 of their papers we have counts for
3 papers
Convolutional Sparse Coding via the Locally Competitive Algorithm on Loihi 2
Geoffrey Kasenbacher, Daniel Ruepp, Gerrit A. Ecke
Sparse coding provides a principled framework for signal representation by expressing an input as a linear combination of only a small number of basis functions. The Locally Compet…
The Resurrection of the ReLU
Coşku Can Horuz, Geoffrey Kasenbacher, Saya Higuchi +7
Modeling sophisticated activation functions within deep learning architectures has evolved into a distinct research direction. Functions such as GELU, SELU, and SiLU offer smooth g…
WARP-LCA: Efficient Convolutional Sparse Coding with Locally Competitive Algorithm
Geoffrey Kasenbacher, Felix Ehret, Gerrit Ecke +1
The locally competitive algorithm (LCA) can solve sparse coding problems across a wide range of use cases. Recently, convolution-based LCA approaches have been shown to be highly e…