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cs.LG2026
From ex(p) to poly: Gaussian Splatting with Polynomial Kernels
Joerg H. Mueller, Martin Winter, Markus Steinberger
Recent advancements in Gaussian Splatting (3DGS) have introduced various modifications to the original kernel, resulting in significant performance improvements. However, many of t…
cs.LG2022
Gradient-based Weight Density Balancing for Robust Dynamic Sparse Training
Mathias Parger, Alexander Ertl, Paul Eibensteiner +3
Training a sparse neural network from scratch requires optimizing connections at the same time as the weights themselves. Typically, the weights are redistributed after a predefine…