41 citations · 71 across the 14 of their papers we have counts for
5 papers · 1 filter
An unsupervised tour through the hidden pathways of deep neural networks
Diego Doimo
The goal of this thesis is to improve our understanding of the internal mechanisms by which deep artificial neural networks create meaningful representations and are able to genera…
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance
Charles Camboulin, Diego Doimo, Aldo Glielmo
This work presents an analysis of the hidden representations of Variational Autoencoders (VAEs) using the Intrinsic Dimension (ID) and the Information Imbalance (II). We show that…
Optimal transfer protocol by incremental layer defrosting
Federica Gerace, Diego Doimo, Stefano Sarao Mannelli +2
Transfer learning is a powerful tool enabling model training with limited amounts of data. This technique is particularly useful in real-world problems where data availability is o…
The geometry of hidden representations of large transformer models
Lucrezia Valeriani, Diego Doimo, Francesca Cuturello +3
Large transformers are powerful architectures used for self-supervised data analysis across various data types, including protein sequences, images, and text. In these models, the…
DADApy: Distance-based Analysis of DAta-manifolds in Python
Aldo Glielmo, Iuri Macocco, Diego Doimo +6
DADApy is a python software package for analysing and characterising high-dimensional data manifolds. It provides methods for estimating the intrinsic dimension and the probability…