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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Christopher A. Metzler

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2 papers indexed here

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Oct 2026

Event-based Shack–Hartmann wavefront sensing using spiking neural networks

Event-based sensors offer high temporal resolution, high dynamic range and low latency, making them wellsuited for wavefront sensing under high-speed turbulence. Recent work has demonstrated the effectiveness of event-based Shack–Hartmann wavefront sensing; however, many current methods rely on conventional framebased...

Divya Koganti, Matthew R. Ziemann, Christopher A. Metzler · 0 citations
Preprint Aug 2026

Implicit Neural Speckle Denoising

This work introduces a training-free framework that combines a spatiotemporal implicit neural representation with an aperture-aware maximum-likelihood formulation to recover dynamic, speckle-free imagery directly from noisy observations, enabling adaptation to arbitrary pupil geometries without retraining.

Matthew R. Ziemann, Casey J. Pellizzari, Tyler J. Hardy et al. · 0 citations

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