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Paul Büschl

2 accepted papers

2026

Beyond Uniformity: Regularizing Implicit Neural Representations through a Lipschitz Lens

ICLR 2026poster

Implicit Neural Representations (INRs) have shown great promise in solving inverse problems, but their lack of inherent regularization often leads to a trade-off between expressiveness and smoothness. While Lipschitz continuity presents a principled form of implicit regularization, it is often appli…

Cited by 0SourceScholar
2021

Whole Brain Vessel Graphs: A Dataset and Benchmark for Graph Learning and Neuroscience

NeurIPS 2021poster

Biological neural networks define the brain function and intelligence of humans and other mammals, and form ultra-large, spatial, structured graphs. Their neuronal organization is closely interconnected with the spatial organization of the brain's microvasculature, which supplies oxygen to the neuro…

Cited by 28SourceScholar