Publications

(2020). PDFFlow: hardware accelerating parton density access. ICHEP2020.

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(2020). Determining the proton content with a quantum computer.

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(2020). VegasFlow: accelerating Monte Carlo simulation across platforms. 40th International Conference on High Energy Physics.

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(2020). Qibo: a framework for quantum simulation with hardware acceleration.

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(2020). PDFFlow: parton distribution functions on GPU.

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(2020). Constructing PineAPPL grids on hardware accelerators.

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(2020). Parton distribution functions.

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(2020). The Prime state and its quantum relatives. Quantum.

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(2020). VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms. Computer Physics Communications.

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(2020). Studying the parton content of the proton with deep learning models. Artificial Intelligence for Science, Industry and Society (AISIS2019) Mexico City, Mexico, October 21-25, 2019.

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(2020). Sampling the Riemann-Theta Boltzmann machine. Computer Physics Communications.

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(2019). Towards hardware acceleration for parton densities estimation.

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(2019). Towards a new generation of parton densities with deep learning models. Eur. Phys. J..

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(2019). Modelling conditional probabilities with Riemann-Theta Boltzmann Machines. 19th International Workshop on Advanced Computing and Analysis Techniques in Physics Research: Empowering the revolution: Bringing Machine Learning to High Performance Computing (ACAT 2019) Saas-Fee, Switzerland, March 11-15, 2019.

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(2019). Lund jet images from generative and cycle-consistent adversarial networks. Eur. Phys. J..

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(2019). libGroomRL: Reinforcement Learning for Jets.

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(2019). Jet grooming through reinforcement learning. Phys. Rev..

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(2019). Can New Physics hide inside the proton?. Phys. Rev. Lett..

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(2018). Precision determination of the strong coupling constant within a global PDF analysis. Eur. Phys. J..

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(2018). MINLO t-channel single-top plus jet. JHEP.

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(2018). Illuminating the photon content of the proton within a global PDF analysis. SciPost Phys..

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(2017). Towards a Neural Network determination of Pion Fragmentation Functions. Proceedings, Parton Radiation and Fragmentation from LHC to FCC-ee: CERN, Geneva, Switzerland, November 22-23, 2016.

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(2017). Riemann-Theta Boltzmann Machine, .

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(2017). Physics at a 100 TeV pp collider: Standard Model processes. CERN Yellow Report.

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(2017). Parton distributions from high-precision collider data. Eur. Phys. J..

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(2017). Modeling NNLO jet corrections with neural networks. Proceedings, 23rd Cracow Epiphany Conference on Particle Theory Meets the First Data from LHC Run 2: Cracow, Poland, January 9-12, 2017.

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(2017). Minimisation strategies for the determination of parton density functions. 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017) Seattle, WA, USA, August 21-25, 2017.

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(2017). Machine learning challenges in theoretical HEP. 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research (ACAT 2017) Seattle, WA, USA, August 21-25, 2017.

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(2017). APFELgrid: a high performance tool for parton density determinations. Comput. Phys. Commun..

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(2017). A determination of the fragmentation functions of pions, kaons, and protons with faithful uncertainties. Eur. Phys. J..

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(2016). Towards the compression of parton densities through machine learning algorithms. 51st Rencontres de Moriond on QCD and High Energy Interactions La Thuile, Italy, March 19-26, 2016.

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(2016). Specialized minimal PDFs for optimized LHC calculations. Eur. Phys. J..

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(2016). SMPDF Web: a web-based application for specialized minimal parton distribution functions. 7th Workshop italiano sulla fisica pp a LHC (pp @ LHC 2016) Roma, Italy, May 16-18, 2016.

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(2016). Research infrastructures in the LHC era: a scientometric approach.

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(2016). QCDLoop: a comprehensive framework for one-loop scalar integrals. Comput. Phys. Commun..

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(2016). PDF4LHC recommendations for LHC Run II. J. Phys..

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(2016). Les Houches 2015: Physics at TeV Colliders Standard Model Working Group Report. 9th Les Houches Workshop on Physics at TeV Colliders (PhysTeV 2015) Les Houches, France, June 1-19, 2015.

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(2016). A Determination of the Charm Content of the Proton. Eur. Phys. J..

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(2015). Reference results for time-like evolution up to $ mathcalOłeft(α_s^3i̊ght) $. JHEP.

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(2015). Parton distributions with threshold resummation. JHEP.

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(2015). Parton distributions for the LHC Run II. JHEP.

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(2015). On the Impact of Lepton PDFs. JHEP.

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(2015). Doped Parton Distributions. 27th Rencontres de Blois on Particle Physics and Cosmology Blois, France, May 31-June 5, 2015.

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(2015). APFEL Web: a web-based application for the graphical visualization of parton distribution functions. J.Phys..

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(2015). An Unbiased Hessian Representation for Monte Carlo PDFs. Eur. Phys. J..

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(2015). A compression algorithm for the combination of PDF sets. Eur. Phys. J..

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(2014). Tuning PYTHIA 8.1: the Monash 2013 Tune. European Physical Journal.

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(2014). APFEL: A PDF Evolution Library with QED corrections. Comput.Phys.Commun..

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(2013). Report of the Snowmass 2013 energy frontier QCD working group.

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(2013). Parton distributions with QED corrections. Nucl.Phys..

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(2013). Parton distributions with LHC data. Nucl.Phys..

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(2013). Parton Distributions and Event Generators.

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(2013). Parton Distribution Benchmarking with LHC Data. JHEP.

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