3 papers
math.NA2025
Exponential Convergence of Deep Composite Polynomial Approximation for Cusp-Type Functions
Kingsley Yeon, Steven B. Damelin, Michael Werman
We investigate deep composite polynomial approximations of continuous but non-differentiable functions with algebraic cusp singularities. The functions in focus consist of finitely…
cs.CV2025
CanonNet: Canonical Ordering and Curvature Learning for Point Cloud Analysis
Benjy Friedmann, Michael Werman
Point cloud processing poses two fundamental challenges: establishing consistent point ordering and effectively learning fine-grained geometric features. Current architectures rely…
cs.LG2024
The Fibonacci Network: A Simple Alternative for Positional Encoding
Yair Bleiberg, Michael Werman
Coordinate-based Multi-Layer Perceptrons (MLPs) are known to have difficulty reconstructing high frequencies of the training data. A common solution to this problem is Positional E…