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cs.LG2025
Applying Deep Learning to Anomaly Detection of Russian Satellite Activity for Indications Prior to Military Activity
David Kurtenbach, Megan Manly, Zach Metzinger
We apply deep learning techniques for anomaly detection to analyze activity of Russian-owned resident space objects (RSO) prior to the Ukraine invasion and assess the results for a…
cs.LG2025
An open dataset of neural networks for hypernetwork research
David Kurtenbach, Lior Shamir
Despite the transformative potential of AI, the concept of neural networks that can produce other neural networks by generating model weights (hypernetworks) has been largely under…