most citedNecessary and sufficient condition for a generic 3R serial manipulator to be cuspidal

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cs.LG2025

Unleashing Uncertainty: Efficient Machine Unlearning for Generative AI

Christoforos N. Spartalis, Theodoros Semertzidis, Petros Daras +1

We introduce SAFEMax, a novel method for Machine Unlearning in diffusion models. Grounded in information-theoretic principles, SAFEMax maximizes the entropy in generated images, ca…

cs.LG2025

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty

Christoforos N. Spartalis, Theodoros Semertzidis, Petros Daras +1

We present LoTUS, a novel Machine Unlearning (MU) method that eliminates the influence of training samples from pre-trained models, avoiding retraining from scratch. LoTUS smooths…