Author

Elena Celledoni

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Jul 2026

1-Lipschitz Neural Networks on Hadamard Manifolds

This work constructs and analyzes a class of 1-Lipschitz neural networks on Hadamard manifolds, and shows improved results from the nonexpansive denoiser over static, data-only, and Log-Euclidean denoising baselines, and empirically test its convergence properties.

D. Murari, Marta Ghirardelli, Ben Adcock et al. · arXiv.org · 0 citations