197 citations · 281 across the 16 of their papers we have counts for
29 papers
Conditional Progressive Generative Adversarial Network for satellite image generation
Renato Cardoso, Sofia Vallecorsa, Edoardo Nemni
Image generation and image completion are rapidly evolving fields, thanks to machine learning algorithms that are able to realistically replace missing pixels. However, generating…
Snowmass White Paper: Quantum Computing Systems and Software for High-energy Physics Research
Travis S. Humble, Andrea Delgado, Raphael Pooser +23
Quantum computing offers a new paradigm for advancing high-energy physics research by enabling novel methods for representing and reasoning about fundamental quantum mechanical phe…
Dual-Tasks Siamese Transformer Framework for Building Damage Assessment
Hongruixuan Chen, Edoardo Nemni, Sofia Vallecorsa +3
Accurate and fine-grained information about the extent of damage to buildings is essential for humanitarian relief and disaster response. However, as the most commonly used archite…
Accelerating GAN training using highly parallel hardware on public cloud
Renato Cardoso, Dejan Golubovic, Ignacio Peluaga Lozada +3
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient…
Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks
Gul Rukh Khattak, Sofia Vallecorsa, Federico Carminati +1
We present the 3DGAN for the simulation of a future high granularity calorimeter output as three-dimensional images. We prove the efficacy of Generative Adversarial Networks (GANs)…
Convolutional LSTM models to estimate network traffic
Joanna Waczynska, Edoardo Martelli, Sofia Vallecorsa +2
Network utilisation efficiency can, at least in principle, often be improved by dynamically re-configuring routing policies to better distribute on-going large data transfers. Unfo…