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cs.LG2026
Permutation Learning with Only N Parameters: From SoftSort to Self-Organizing Gaussians
Kai Uwe Barthel, Florian Barthel, Peter Eisert
Sorting and permutation learning are key concepts in optimization and machine learning, especially when organizing high-dimensional data into meaningful spatial layouts. The Gumbel…
cs.LG2025
Don't Mesh with Me: Generating Constructive Solid Geometry Instead of Meshes by Fine-Tuning a Code-Generation LLM
Maximilian Mews, Ansar Aynetdinov, Vivian Schiller +2
While recent advancements in machine learning, such as LLMs, are revolutionizing software development and creative industries, they have had minimal impact on engineers designing m…