clabat9

ADM-2018

Here you find the homeworks of ADM class of the MSc in Data Science @ La Sapienza University

ADM-Group13-HW5

Here you find the homework 5 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

ADM-Group26-HW4

Here you find the homework 4 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

ADM-Group27-HW3

Here you find the homework 3 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

ADM-Group6-HW2

Here you find the homework 2 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

challenge-icml-2024

Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.

DMT-HW1

MRI-Imaging-Classification-via-Concatenated-Neural-Network-Architectures-and-Distributed-Stochastic-

Reference Papers: "A framework for parallel and distributed training of neural networks", Simone Scardapane and Paolo Di Lorenzo , NEURAL NETWORK 91 (2017) "Stochastic Training of Neural Networks via Successive Convex Approximations", Simone Scardapane and Paolo di Lorenzo, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018) "Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation", Paolo Di Lorenzo and Simone Scardapane, ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (2019)

SDS-HW1

Here you find the homework 1 of Statistical Methods in Data Science class of the MSc in Data Science @ La Sapienza University, Rome

Tangent-Bundle-Neural-Networks

Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"

clabat9/Tangent-Bundle-Neural-Networks

Codes for the Numerical Results of the paper "Tangent Bundle Neural Networks: from Manifolds to Celullar Sheaves and Back"

clabat9/MRI-Imaging-Classification-via-Concatenated-Neural-Network-Architectures-and-Distributed-Stochastic-

Reference Papers: "A framework for parallel and distributed training of neural networks", Simone Scardapane and Paolo Di Lorenzo , NEURAL NETWORK 91 (2017) "Stochastic Training of Neural Networks via Successive Convex Approximations", Simone Scardapane and Paolo di Lorenzo, IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS (2018) "Distributed Stochastic Nonconvex Optimization and Learning based on Successive Convex Approximation", Paolo Di Lorenzo and Simone Scardapane, ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS AND COMPUTERS (2019)

clabat9/ADM-Group6-HW2

Here you find the homework 2 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/ADM-2018

Here you find the homeworks of ADM class of the MSc in Data Science @ La Sapienza University

clabat9/ADM-Group13-HW5

Here you find the homework 5 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/ADM-Group26-HW4

Here you find the homework 4 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/ADM-Group27-HW3

Here you find the homework 3 of Algorithmic Methods of Data Mining class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/challenge-icml-2024

Official repository for the Topological Deep Learning Challenge 2024, organized by TAG-DS & PyT-Team and hosted by GRaM Workshop @ ICML 2024.

clabat9/DMT-HW1

clabat9/SDS-HW1

Here you find the homework 1 of Statistical Methods in Data Science class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/SDS-HW2

Here you find the homework 2 of Statistical Methods in Data Science class of the MSc in Data Science @ La Sapienza University, Rome

clabat9/SDS-HW3

clabat9/SDS2-PROJECT

clabat9/Simplicial-Attention-Networks

clabat9/SL_Project

clabat9/SPS_Project

In this paper we propose a Sentiment Analysis application to investigate and compare classical unsupervised and supervised ML techniques with Dirichlet Process Mixtures and Mixtures of finite Mixtures procedures.

clabat9/Topological-Slepians

Codes for the Numerical Results of the paper "Topological Slepians: maximally localized representations of signals over simplicial complexes"