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math.FA2026
Representation Costs in Data Science: Foundations and the Quasi-Banach Spaces of Deep Neural Networks
Greg Ongie, Rahul Parhi
We develop a general framework for analyzing representation costs induced by parameter-space regularizers in data-fitting methods. For an arbitrary parametric method, we define its…
eess.IV2026
Memory-efficient optimization of implicit neural representations for CT reconstruction
Mahrokh Najaf, Gregory Ongie
Implicit neural representations (INRs) provide a parameter-efficient and fully differentiable image model for CT reconstruction. However, optimizing INRs for CT reconstruction usin…