Zurich

Antoine Wehenkel

Expert
@AWehenkel

I am a researcher at Apple where I combine biophysical models with machine learning for health applications.

UMNN. Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for modelling monotonic transformations in normalizing flows.

129

Graphical-Normalizing-Flows. Combining smooth constraint for building DAG with normalizing flow in order to replace autoregressive transformations while keeping tractable Jacobian.

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Normalizing-Flows. This repository offers an implementation of some common architectures for normalizing flows.

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generalized-UMNN. Extension to multivariate unconstrained monotonic functions.

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phd-thesis. My baby.

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LatentDiffusion. # Research project on hidden markov models for diffusion on images

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best-twitter-threads.

1

bdd-project. PHP

1

NTDS-Project. Jupyter Notebook

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