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cs.LG2025
Riemannian-Geometric Fingerprints of Generative Models
Hae Jin Song, Laurent Itti
Recent breakthroughs and rapid integration of generative models (GMs) have sparked interest in the problem of model attribution and their fingerprints. For instance, service provid…
cs.LG2025
Exploring the Performance of Perforated Backpropagation through Further Experiments
Rorry Brenner, Evan Davis, Rushi Chaudhari +5
Perforated Backpropagation is a neural network optimization technique based on modern understanding of the computational importance of dendrites within biological neurons. This pap…