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A Review Of Two Novel Numerical Methods in QFT,
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Big Science with a Small Budget: Non-Embarrassingly Parallel Applications in a Non-Dedicated Network of Workstations,
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Neural network determination of parton distributions: the nonsinglet case,
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Unbiased determination of the proton structure function F2(p) with faithful uncertainty estimation,
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Transfer Learning Beyond the Standard Model,
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NeurIPS 2025 Workshop: Machine Learning and the Physical Sciences.
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GraphNeT 2.0 - A Deep Learning Library for Neutrino Telescopes,
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Scalable, End-to-End, Deep-Learning-Based Data Reconstruction Chain for Particle Imaging Detectors,
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arXiv:hep-ph/0509067.
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arXiv:hep-ph/0509059,
HERA and the LHC: A Workshop on the Implications of HERA and LHC Physics (Startup Meeting, CERN, 26-27 March 2004; Midterm Meeting, CERN, 11-13 October 2004), Hamburg, Germany, 21-24 Mar 2005.
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The neural network approach to parton fitting,
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Automatic Classification using Self-Organising Neural Networks in Astrophysical Experiments,
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Science with the New Generation of High Energy Gamma-ray Experiments, Perugia, Italy, May 2003.
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A Relational Model of Data for Large Shared Data Banks,
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Data Preservation in High Energy Physics,
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Abduction with Penalization in Logic Programming,
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Visualisation of Cherenkov Radiation and the Fields of a Moving Charge,
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[physics/0602061]
