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Lucas Kook

2 accepted papers

2024

Generalizing Orthogonalization for Models with Non-Linearities

ICML 2024poster

The complexity of black-box algorithms can lead to various challenges, including the introduction of biases. These biases present immediate risks in the algorithms’ application. It was, for instance, shown that neural networks can deduce racial information solely from a patient's X-ray scan, a task…

2024

How Inverse Conditional Flows Can Serve as a Substitute for Distributional Regression

UAI 2024poster

Neural network representations of simple models, such as linear regression, are being studied increasingly to better understand the underlying principles of deep learning algorithms. However, neural representations of distributional regression models, such as the Cox model, have received little atte…

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