Session | ||
S25.05: Various topics in Computational and mathematical methods in data science
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Presentations | ||
4:30pm - 5:10pm
Sparsity-Inspired Regularization for Image Reconstruction TU Chemnitz 5:10pm - 5:30pm
Analyzing Concrete Pavement Damage Progression Using Image Dataset Techniques TU Dresden 5:30pm - 5:50pm
Neural Galerkin schemes that can preserve Hamiltonians and other quantities 1New York University, USA; 2TU Berlin 5:50pm - 6:10pm
Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg |