Neural Networks

Learning Gradients of Convex Functions with Monotone Gradient Networks featured image
Optimal Transport

Learning Gradients of Convex Functions with Monotone Gradient Networks

Study and implementation of Monotone Gradient Networks (MGN) for learning gradients of convex functions, optimal transport, and generative modeling on high-dimensional data.

Thomas Gravier
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Topological Data Analysis – PersLay: Neural Layers for Persistence Diagrams featured image
Topological Data Analysis

Topological Data Analysis – PersLay: Neural Layers for Persistence Diagrams

Presentation and reproduction of PersLay (Carrière et al., 2020), a neural network layer designed to process persistence diagrams. Explored graph topology embeddings, heat kernel …

Thomas Gravier
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