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Marc Glisse

2 accepted papers

2021

Optimizing persistent homology based functions

ICML 2021oral

Solving optimization tasks based on functions and losses with a topological flavor is a very active and growing field of research in data science and Topological Data Analysis, with applications in non-convex optimization, statistics and machine learning. However, the approaches proposed in the lite…

2021

Topological Uncertainty: Monitoring Trained Neural Networks through Persistence of Activation Graphs

IJCAI 2021poster

Although neural networks are capable of reaching astonishing performance on a wide variety of contexts, properly training networks on complicated tasks requires expertise and can be expensive from a computational perspective. In industrial applications, data coming from an open-world setting might w…

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