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Critical Points and Convergence Analysis of Generative Deep Linear Networks Trained with Bures-Wasserstein Loss.
Pierre Bréchet
Katerina Papagiannouli
Jing An
Guido Montúfar
Published in:
ICML (2023)
Keyphrases
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critical points
convergence analysis
scale space
global convergence
vector field
generative model
optimality conditions
neural network
convergence rate
simulated annealing
endpoints
approximation methods
morse theory