Scott Alexander Cameron — accepted AI-conference papers

2023

Nonparametric Boundary Geometry in Physics Informed Deep Learning

Scott Alexander Cameron, Arnu Pretorius, Stephen J. Roberts

NeurIPS 2023poster

Engineering design problems frequently require solving systems of partial differential equations with boundary conditions specified on object geometries in the form of a triangular mesh. These boundary geometries are provided by a designer and are problem dependent. The efficiency of the design proc…

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2022

Robust and Scalable SDE Learning: A Functional Perspective

Scott Alexander Cameron, Tyron Luke Cameron, Arnu Pretorius, Stephen J. Roberts

ICLR 2022poster

Stochastic differential equations provide a rich class of flexible generative models, capable of describing a wide range of spatio-temporal processes. A host of recent work looks to learn data-representing SDEs, using neural networks and other flexible function approximators. Despite these advances,…

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