lrnzgiusti
Senior Research Scientist @CERN \n PhD in Topological Deep Learning \n Intern @NASA JPL \n Intern @CERN (few years ago) \n Reach me out for memes \0x
Università La SapienzaGeneva, CH
Pinned Repositories
ADM-GP22-HW5
ADM-HM2-GP13
In this assignment we perform an analysis of Taxis in NYC. In particular, we are curious to answer to some specific research questions (RQs) that may help Taxi drivers in planning their movements throughout the city and the Taxi's users to have hints about the convenience of enjoying this service.
Autoencoder-Aided-Graph-Convolutional-Neural-Network
A novel architecture and training strategy for graph neural networks (GNN). The proposed architecture, named as Autoencoder-Aided GNN (AA-GNN), compresses the convolutional features at multiple hidden layers, hinging on a novel end-to-end training procedure that learns different graph representations per each layer. As a result, the computational scalability improves and the best graph representations at each layer are learnt in a totally data-driven fashion.
awesome-ml-summaries
Summaries of relevant research papers in machine learning
awesome-topological-deep-learning
A curated list of topological deep learning (TDL) resources and links.
can
Official repository for Cell Attention Networks
Heterogeneous_XNN
Magnetic Resonance Imaging (MRI) for Brain Tumor Classification
MaRF
Official Repository for MaRF: Representing Mars as Neural Radiance Fields
on-oversquashing
Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
Simplicial-Attention-Networks
Official Repository for Simplicial Attention Networks
lrnzgiusti's Repositories
lrnzgiusti/awesome-topological-deep-learning
A curated list of topological deep learning (TDL) resources and links.
lrnzgiusti/Simplicial-Attention-Networks
Official Repository for Simplicial Attention Networks
lrnzgiusti/MaRF
Official Repository for MaRF: Representing Mars as Neural Radiance Fields
lrnzgiusti/can
Official repository for Cell Attention Networks
lrnzgiusti/on-oversquashing
Official repository for On Over-Squashing in Message Passing Neural Networks (ICML 2023)
lrnzgiusti/Autoencoder-Aided-Graph-Convolutional-Neural-Network
A novel architecture and training strategy for graph neural networks (GNN). The proposed architecture, named as Autoencoder-Aided GNN (AA-GNN), compresses the convolutional features at multiple hidden layers, hinging on a novel end-to-end training procedure that learns different graph representations per each layer. As a result, the computational scalability improves and the best graph representations at each layer are learnt in a totally data-driven fashion.
lrnzgiusti/awesome-ml-summaries
Summaries of relevant research papers in machine learning
lrnzgiusti/Heterogeneous_XNN
Magnetic Resonance Imaging (MRI) for Brain Tumor Classification
lrnzgiusti/ADM-HM2-GP13
In this assignment we perform an analysis of Taxis in NYC. In particular, we are curious to answer to some specific research questions (RQs) that may help Taxi drivers in planning their movements throughout the city and the Taxi's users to have hints about the convenience of enjoying this service.
lrnzgiusti/ADM-GP22-HW5
lrnzgiusti/ADM-HW3-GP2
lrnzgiusti/ADM-HW4-GP29
Homework4 for the algorithmic methods of data mining course
lrnzgiusti/GCNN
This is an implementation of Graph Convolutional Networks for the task of (semi-supervised) classification of nodes in a graph.
lrnzgiusti/inception
Automatic face extraction and classification using Facenet architecture
lrnzgiusti/Extreme-Rare-Event-Detector
Bidirectional LSTM Autoencoders for Anomaly Detection in Particles Accelerators Technical Infrastructure
lrnzgiusti/Popularity-Index-Prediction
Predict the popularity score of songs based on EEG signals
lrnzgiusti/Artificial-Intelligence-Projects
Collection of Artificial Intelligence projects.
lrnzgiusti/awesome-neural-geometry
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
lrnzgiusti/cwn
Message Passing Neural Networks for Simplicial and Cell Complexes
lrnzgiusti/FitBit-Fitness-Tracker-Data
lrnzgiusti/lrnzgiusti.github.io
lrnzgiusti/Motif-Counting
Monte Carlo sampling of Markov Chains (MC) for motif counting in graphlets.
lrnzgiusti/reprodl2021
Host repository for the "Reproducible Deep Learning" PhD course
lrnzgiusti/siw-formazione