From the 1 of 4 linked papers with an AI index.
4 papers
OvAi Focus: AI-based Multi-class Segmentation of Functional Ovaries and Adnexal Masses in Gynecological Ultrasound
Niccolò Tallone, Francesca Salis, Pio Raffaele Fina +13
The paper introduces OvAi Focus, an AI tool that automatically segments ovarian and adnexal structures in ultrasound images, distinguishing cystic and solid parts and functional ov…
Testing Transformer Learnability on the Arithmetic Sequence of Rooted Trees
Alessandro Breccia, Federica Gerace, Marco Lippi +2
We study whether a transformer network can learn the deterministic sequence of trees generated by the iterated prime factorization of the natural numbers. Each integer is mapped in…
A distributional simplicity bias in the learning dynamics of transformers
Riccardo Rende, Federica Gerace, Alessandro Laio +1
The remarkable capability of over-parameterised neural networks to generalise effectively has been explained by invoking a ``simplicity bias'': neural networks prevent overfitting…
Learning from higher-order statistics, efficiently: hypothesis tests, random features, and neural networks
Eszter Székely, Lorenzo Bardone, Federica Gerace +1
Neural networks excel at discovering statistical patterns in high-dimensional data sets. In practice, higher-order cumulants, which quantify the non-Gaussian correlations between t…