4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Task-Restricted Symmetries in Recurrent Weight Space
Simon Dräger
Recurrent networks can contain substantial functional redundancy in weight space: changing a recurrent matrix may leave the input-output rollout nearly unchanged on a task distribu…
cs.LG2022★ 4 cited
Evaluating the Impact of Loss Function Variation in Deep Learning for Classification
Simon Dräger, Jannik Dunkelau
The loss function is arguably among the most important hyperparameters for a neural network. Many loss functions have been designed to date, making a correct choice nontrivial. How…