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20202026
most citedStandardized Non-Intrusive Reduced Order Modeling Using Different Regression Models With Application to Complex Flow Problems

15 citations · 20 across the 9 of their papers we have counts for

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cs.LG2026

Gauss-Newton Natural Gradient Descent for Shape Learning

James King, Arturs Berzins, Siddhartha Mishra +1

We explore the use of the Gauss-Newton method for optimization in shape learning, including implicit neural surfaces and geometry-informed neural networks. The method addresses key…

cs.LG2026

Meltdown: Circuits and Bifurcations in Point-Cloud-Conditioned 3D Diffusion Transformers

Maximilian Plattner, Fabian Paischer, Johannes Brandstetter +1

Sparse point clouds are a common input modality for 3D surface reconstruction, including in safety-critical settings such as surgical navigation and autonomous perception. Recent p…