3 citations · 4 across the 3 of their papers we have counts for
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cs.LG2023★ 3 cited
Deep Neural Networks with Efficient Guaranteed Invariances
Matthias Rath, Alexandru Paul Condurache
We address the problem of improving the performance and in particular the sample complexity of deep neural networks by enforcing and guaranteeing invariances to symmetry transforma…
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…