1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2022
Improving the Sample-Complexity of Deep Classification Networks with Invariant Integration
Matthias Rath, Alexandru Paul Condurache
Leveraging prior knowledge on intraclass variance due to transformations is a powerful method to improve the sample complexity of deep neural networks. This makes them applicable t…
cs.LG2020★ 1 cited
Invariant Integration in Deep Convolutional Feature Space
Matthias Rath, Alexandru Paul Condurache
In this contribution, we show how to incorporate prior knowledge to a deep neural network architecture in a principled manner. We enforce feature space invariances using a novel la…