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Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access
Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more
1citations -
Code Repository for the Paper "Characterizing Neural Manifolds' Properties and Curvatures using Normalizing Flows" (PRX Life, 2026)2026 Zenodo (CERN European Organization for Nuclear Research) article Neuroscience Neural dynamics and brain function Open access
Peter Bouss, Sandra Nestler, Kirsten Fischer, Claudia Merger, Lars Schutzeichel, Simon Musall, +2 more
0citations -
Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers2021 Information and Inference A Journal of the IMA article Computer Science Stochastic Gradient Optimization Techniques Open access
Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg
29citations -
Ship operational data driven fuel efficiency assessment for shaft generator using input convex neural network2026 Energy Reports article Environmental Science Maritime Transport Emissions and Efficiency Open access
Daehyuk Kim, SoonSik Jang, Jung-il Lee, Shin Hyung Rhee, Hyukchan Kwon, Hyunhak Jeong
1citations