activity
20222026
most citedAdaptive and Gamified Learning Paths with Polyglot and .NET Interactive

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2026

Improved Distributional Diffusion Models

Tommaso Martorella, Alexandre Galashov, Felix Krause +4

Distributional Diffusion Models (DDMs) replace the standard mean-prediction denoiser with a \emph{distributional} denoiser trained via a scoring rule objective, learning a stochast…

cs.CV2026

Envisioning the Future, One Step at a Time

Stefan Andreas Baumann, Jannik Wiese, Tommaso Martorella +2

Accurately anticipating how complex, diverse scenes will evolve requires models that represent uncertainty, simulate along extended interaction chains, and efficiently explore many…

cs.CV2024

CODE: Confident Ordinary Differential Editing

Bastien van Delft, Tommaso Martorella, Alexandre Alahi

Conditioning image generation facilitates seamless editing and the creation of photorealistic images. However, conditioning on noisy or Out-of-Distribution (OoD) images poses signi…

cs.CL2024

Student Answer Forecasting: Transformer-Driven Answer Choice Prediction for Language Learning

Elena Grazia Gado, Tommaso Martorella, Luca Zunino +4

Intelligent Tutoring Systems (ITS) enhance personalized learning by predicting student answers to provide immediate and customized instruction. However, recent research has primari…

cs.CY2023★ 2 cited

Adaptive and Gamified Learning Paths with Polyglot and .NET Interactive

Tommaso Martorella, Antonio Bucchiarone

The digital age is changing the role of educators and pushing for a paradigm shift in the education system as a whole. Growing demand for general and specialized education inside a…

cs.SE2022

PolyGloT: A Personalized and Gamified eTutoring System

Antonio Bucchiarone, Tommaso Martorella, Diego Colombo

The digital age is changing the role of educators and pushing for a paradigm shift in the education system as a whole. Growing demand for general and specialized education inside a…