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Oliver Struckmeier

2 accepted papers

2025

From Alexnet to Transformers: Measuring the Non-linearity of Deep Neural Networks with Affine Optimal Transport

CVPR 2025poster

In the last decade, we have witnessed the introduction of several novel deep neural network (DNN) architectures exhibiting ever-increasing performance across diverse tasks. Explaining the upward trend of their performance, however, remains difficult as different DNN architectures of comparable depth…

2021

Domain Curiosity: Learning Efficient Data Collection Strategies for Domain Adaptation

IROS 2021poster

Domain adaptation is a common problem in robotics, with applications such as transferring policies from simulation to real world and lifelong learning. Performing such adaptation, however, requires informative data about the environment to be available during the adaptation. In this paper, we presen…

Cited by 1SourceScholar