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cs.LG2025
Mixture of Many Zero-Compute Experts: A High-Rate Quantization Theory Perspective
Yehuda Dar
This paper uses classical high-rate quantization theory to provide new insights into mixture-of-experts (MoE) models for regression tasks. Our MoE is defined by a segmentation of t…
cs.LG2025
How Does Overparameterization Affect Machine Unlearning of Deep Neural Networks?
Gal Alon, Yehuda Dar
Machine unlearning is the task of updating a trained model to forget specific training data without retraining from scratch. In this paper, we investigate how unlearning of deep ne…