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Eric Zimmermann

Alumni

Publications

KerJEPA: Kernel Discrepancies for Euclidean Self-Supervised Learning
Eric Zimmermann
Harley Wiltzer
Justin Szeto
David Alvarez-Melis
Lester Mackey
Recent breakthroughs in self-supervised Joint-Embedding Predictive Architectures (JEPAs) have established that regularizing Euclidean repres… (see more)entations toward isotropic Gaussian priors yields provable gains in training stability and downstream generalization. We introduce a new, flexible family of KerJEPAs, self-supervised learning algorithms with kernel-based regularizers. One instance of this family corresponds to the recently-introduced LeJEPA Epps-Pulley regularizer which approximates a sliced maximum mean discrepancy (MMD) with a Gaussian prior and Gaussian kernel. By expanding the class of viable kernels and priors and computing the closed-form high-dimensional limit of sliced MMDs, we develop alternative KerJEPAs with a number of favorable properties including improved training stability and design flexibility.
2025-12-21
arXiv (preprint)
doi.org
arxiv.org
Exploring the roles of artificial intelligence in surgical education: A scoping review
Elif Bilgic
Andrew Gorgy
Alison Yang
Michelle Cwintal
Hamed Ranjbar
Kalin Kahla
Dheeksha Reddy
Kexin Li
Helin Ozturk
Eric Zimmermann
Andrea Quaiattini
S. A. Rahimi
Dan Poenaru
Jason M. Harley
2022-06-30
The American Journal of Surgery (published)
doi.org