Emilio Picard

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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Probabilistic Graphical Models – Generative vs Discriminative Robustness in Medical Imaging featured image
Probabilistic Graphical Models

Probabilistic Graphical Models – Generative vs Discriminative Robustness in Medical Imaging

Comparative study of generative and discriminative classifiers under adversarial and non-adversarial perturbations on medical imaging data. Implementation of GBZ and DBX models and …

Thomas Gravier
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