2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model
Peter Súkeník, Marco Mondelli, Christoph Lampert
Neural collapse (NC) refers to the surprising structure of the last layer of deep neural networks in the terminal phase of gradient descent training. Recently, an increasing amount…
cs.LG2022★ 2 cited
Generalization In Multi-Objective Machine Learning
Peter Súkeník, Christoph H. Lampert
Modern machine learning tasks often require considering not just one but multiple objectives. For example, besides the prediction quality, this could be the efficiency, robustness…