Thomas Cecconello

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 7

Top Topics

Kernel Parameters

Reinforcement Learning

Diffusion Models

Top Venues

Astron. Comput.

Publications

Simone Riggi, Grazia Umana, C. Trigilio, Cristobal Bordiu, Filomena Bufano, Adriano Ingallinera, F. Cavallaro, Yjan Gordon, Ray P. Norris, G. Gürkan, P. Leto, C. Buemi, S. Loru, Andrew M. Hopkins, Miroslav D. Filipovic, Thomas Cecconello
Classification of compact radio sources in the Galactic plane with supervised machine learning. CoRR (2024)
Giuseppe Vizzari, Thomas Cecconello
Pedestrian Simulation with Reinforcement Learning: A Curriculum-Based Approach. Future Internet 15 (1) (2023)
Simone Riggi, Daniel Magro, Renato Sortino, A. De Marco, Cristobal Bordiu, Thomas Cecconello, Andrew M. Hopkins, J. Marvil, Grazia Umana, Eva Sciacca, Fabio Vitello, Filomena Bufano, A. Ingallinera, G. Fiameni, Concetto Spampinato, Kristian Zarb Adami
Astronomical source detection in radio continuum maps with deep neural networks. Astron. Comput. 42 (2023)
Renato Sortino, Thomas Cecconello, Andrea DeMarco, Giuseppe Fiameni, Andrea Pilzer, Andrew M. Hopkins, Daniel Magro, Simone Riggi, Eva Sciacca, Adriano Ingallinera, Cristobal Bordiu, Filomena Bufano, Concetto Spampinato
RADiff: Controllable Diffusion Models for Radio Astronomical Maps Generation. CoRR (2023)
Giuseppe Vizzari, Daniela Briola, Thomas Cecconello
Curriculum-Based Reinforcement Learning for Pedestrian Simulation: Towards an Explainable Training Process? WOA (2023)
Thomas Cecconello, Lucas Puerari, Giuseppe Vizzari
Unsupervised Data Pattern Discovery on the Cloud. DP@AI*IA (2021)
Thomas Albericci, Thomas Cecconello, Alberto Gibertini, Giuseppe Vizzari
A Curriculum-Based Reinforcement Learning Approach to Pedestrian Simulation. WOA (2021)