Simone Azeglio

According to our database, Simone Azeglio authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

What's Inside Your Diffusion Model? A Score-Based Riemannian Metric to Explore the Data Manifold.

Simone Azeglio, Arianna Di Bernardo

CoRR, May, 2025

Higher-Order Convolution Improves Neural Predictivity in the Retina.

Simone Azeglio, Victor Calbiague Garcia, Guilhem Glaziou, Peter Neri, Olivier Marre, Ulisse Ferrari

CoRR, May, 2025

2024

Convolution goes higher-order: a biologically inspired mechanism empowers image classification.

Simone Azeglio, Olivier Marre, Peter Neri, Ulisse Ferrari

CoRR, 2024

2023

Preface.

Sophia Sanborn, Christian Shewmake, Simone Azeglio, Nina Miolane

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2023

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, Arianna Di Bernardo, Nina Miolane

Proceedings of the NeurIPS Workshop on Symmetry and Geometry in Neural Representations, 2022

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

Optimizing Urban Mobility Restrictions: a Multi-Agent System (MAS) for SARS-CoV-2.

Simone Azeglio, Matteo Fordiani

CoRR, 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, Devesh Upadhyay, Christopher Rackauckas

CoRR, 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, Kaiwen Deng, Yuanfang Guan, Yiqin Zhu, Kaiwen Xiao, Xiao Han, Simone Azeglio, Ulisse Ferrari, Peter Neri, Olivier Marre, Adrian Hoffmann, Kirill Fedyanin, Kirill Vishniakov, Maxim Panov, Subash Prakash, Kishan Naik, Kantharaju Narayanappa, Alexander S. Ecker, Andreas S. Tolias, Fabian H. Sinz

Proceedings of the NeurIPS 2022 Competition Track, 2021

Physics-Informed Machine Learning Simulator for Wildfire Propagation.

Luca Bottero, Francesco Calisto, Giovanni Graziano, Valerio Pagliarino, Martina Scauda, Sara Tiengo, Simone Azeglio

Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021