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Found 3 papers, 1 papers with code
Kernel Sum of Squares for Data Adapted Kernel Learning of Dynamical Systems from Data: A global optimization approach
This paper examines the application of the Kernel Sum of Squares (KSOS) method for enhancing kernel learning from data, particularly in the context of dynamical systems.
On Flat Minima, Large Margins and Generalizability
The intuitive connection to robustness and convincing empirical evidence have made the flatness of the loss surface an attractive measure of generalizability for neural networks.
GENNI: Visualising the Geometry of Equivalences for Neural Network Identifiability
We propose an efficient algorithm to visualise symmetries in neural networks.
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