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Found 3 papers, 2 papers with code
A Gradient Sampling Algorithm for Stratified Maps with Applications to Topological Data Analysis
We introduce a novel gradient descent algorithm extending the well-known Gradient Sampling methodology to the class of stratifiably smooth objective functions, which are defined as locally Lipschitz functions that are smooth on some regular pieces-called the strata-of the ambient Euclidean space.
Optimisation of Spectral Wavelets for Persistence-based Graph Classification
Since the spectral wavelet signature of a graph is derived from its Laplacian, our framework encodes geometric properties of graphs in their associated persistence diagrams and can be applied to graphs without a priori node attributes.
Adversarial Computation of Optimal Transport Maps
We show that during training, our generator follows the $W_2$-geodesic between the initial and the target distributions.
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