On December 1 (Note this is Sunday),  Dr. Yehuda Dar from the Ben Gurion University will give a talk titled: Generalization in Overparameterized Machine Learning Abstract: Modern machine learning models are highly overparameterized (i.e., they are very complex with many more parameters than the number of training data examples); yet, these models often generalize extremely ... Read more

On January 13,  Dr. Sagie Benaim from the Hebrew University of Jerusalem will give a talk titled: Distilling Foundation Models for 3D Generation and Understanding Abstract: Visual foundation models have revolutionized 2D visual tasks, achieving remarkable success in both discriminative and generative domains by leveraging massive collections of 2D data through self-supervised learning. However, the ... Read more