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stat.ML2022★ 4 cited
Finding NEEMo: Geometric Fitting using Neural Estimation of the Energy Mover's Distance
Ouail Kitouni, Niklas Nolte, Mike Williams
A novel neural architecture was recently developed that enforces an exact upper bound on the Lipschitz constant of the model by constraining the norm of its weights in a minimal wa…
cs.LG2022★ 24 cited
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
We aim to understand grokking, a phenomenon where models generalize long after overfitting their training set. We present both a microscopic analysis anchored by an effective theor…