2.1k citations · 5.2k across the 53 of their papers we have counts for
3 papers · 2 filters
The Curious Case of Benign Memorization
Sotiris Anagnostidis, Gregor Bachmann, Lorenzo Noci +1
Despite the empirical advances of deep learning across a variety of learning tasks, our theoretical understanding of its success is still very restricted. One of the key challenges…
How Tempering Fixes Data Augmentation in Bayesian Neural Networks
Gregor Bachmann, Lorenzo Noci, Thomas Hofmann
While Bayesian neural networks (BNNs) provide a sound and principled alternative to standard neural networks, an artificial sharpening of the posterior usually needs to be applied…
Generalization Through The Lens Of Leave-One-Out Error
Gregor Bachmann, Thomas Hofmann, Aurélien Lucchi
Despite the tremendous empirical success of deep learning models to solve various learning tasks, our theoretical understanding of their generalization ability is very limited. Cla…