Physics-Informed Machine Learning Simulator for Wildfire Propagation. - Luca Bottero; Francesco Calisto; Giovanni Graziano; Valerio Pagliarino; Martina Scauda; Sara Tiengo; Simone Azeglio (AAAI Spring Symposium: MLPS, 2021)

Retrospective on the SENSORIUM 2022 competition. - Konstantin F. Willeke; Paul G. Fahey; Mohammad Bashiri; Laura Hansel; Christoph Blessing; Konstantin-Klemens Lurz; Max F. Burg; Santiago A. Cadena; Zhiwei Ding; Kayla Ponder; Taliah Muhammad; Saumil S. Patel; et al. (NeurIPS (Competition and Demos), 2021)

NeuralPDE: Automating Physics-Informed Neural Networks (PINNs) with Error Approximations. - Kirill Zubov; Zoe McCarthy; Yingbo Ma; Francesco Calisto; Valerio Pagliarino; Simone Azeglio; Luca Bottero; Emmanuel Luján; Valentin Sulzer; Ashutosh Bharambe; Nand Vinchhi; Kaushik Balakrishnan; et al. (CoRR, 2021)

Optimizing Urban Mobility Restrictions: a Multi-Agent System (MAS) for SARS-CoV-2. - Simone Azeglio; Matteo Fordiani (CoRR, 2021)

Topological Data Analysis (TDA) Techniques Enhance Hand Pose Classification from ECoG Neural Recordings. - Simone Azeglio; Arianna Di Bernardo; Gabriele Penna; Fabrizio Pittatore; Simone Poetto; Johannes Gruenwald; Christoph Kapeller; Kyousuke Kamada; Christoph Guger (CoRR, 2021)

Preface. - Sophia Sanborn; Christian Shewmake; Simone Azeglio; Arianna Di Bernardo; Nina Miolane (NeurReps, 2022)

Improving Neural Predictivity in the Visual Cortex with Gated Recurrent Connections. - Simone Azeglio; Simone Poetto; Luca Savant Aira; Marco Nurisso (CoRR, 2022)

Preface. - Sophia Sanborn; Christian Shewmake; Simone Azeglio; Nina Miolane (NeurReps, 2023)

Convolution goes higher-order: a biologically inspired mechanism empowers image classification. - Simone Azeglio; Olivier Marre; Peter Neri; Ulisse Ferrari (CoRR, 2024)

Higher-Order Convolution Improves Neural Predictivity in the Retina. - Simone Azeglio; Victor Calbiague Garcia; Guilhem Glaziou; Peter Neri; Olivier Marre; Ulisse Ferrari (CoRR, 2025)

What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold. - Simone Azeglio; Arianna Di Bernardo (CoRR, 2025)