Skip to content
View baldassarreFe's full-sized avatar

Highlights

  • Pro

Block or report baldassarreFe

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
baldassarreFe/README.md

Hi, I'm Federico 👋

Postdoc at Meta AI in Paris

My research focuses on the explainability of deep learning, improving our understanding of modern learning systems from their internal representations to the way they determine a prediction.

Learn more about me and my research on my website.

Connect with me:

 baldassarrefe

Pinned Loading

  1. deep-koalarization deep-koalarization Public

    Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

    Python 412 79

  2. graph-network-explainability graph-network-explainability Public

    Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" …

    Jupyter Notebook 121 16

  3. graphqa graphqa Public

    Protein quality assessment using Graph Convolutional Networks

    Python 28 8

  4. ambulance-planning ambulance-planning Public

    Online scheduling of multi ambulances in a city context, with travel distance and patient priority optimization

    Java 1

  5. zalando-pytorch zalando-pytorch Public

    Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

    Jupyter Notebook 31 7

  6. lucasrodes/kPCA-denoising-python lucasrodes/kPCA-denoising-python Public

    Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

    Python 15 10