Maximilian Scharf

Stochastic Riemannian optimizers for tree tensor networks achieve competitive performance while enabling stable compression, revolutionizing their utility in machine learning applications.

Tensor networks offer a surprisingly robust and efficient alternative to traditional neural networks for classifying noisy SAR imagery, even under data poisoning attacks.