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Daniel Diaz

Particle Graph Autoencoders and Differentiable, Learned Energy Mover's Distance



Steven Tsan , Raghav Kansal , Anthony Aportela , Daniel Diaz , Javier Duarte , Sukanya Krishna , Farouk Mokhtar , Jean-Roch Vlimant , Maurizio Pierini

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* 5 pages, 2 figures. Accepted to the Machine Learning for the Physical Sciences workshop at NeurIPS 2021. arXiv admin note: text overlap with arXiv:2101.08320 
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Explaining machine-learned particle-flow reconstruction



Farouk Mokhtar , Raghav Kansal , Daniel Diaz , Javier Duarte , Joosep Pata , Maurizio Pierini , Jean-Roch Vlimant

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* 5 pages, 3 figures. Accepted to Machine Learning for Physical Sciences NeurIPS 2021 workshop 
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Applications and Techniques for Fast Machine Learning in Science



Allison McCarn Deiana , Nhan Tran , Joshua Agar , Michaela Blott , Giuseppe Di Guglielmo , Javier Duarte , Philip Harris , Scott Hauck , Mia Liu , Mark S. Neubauer , Jennifer Ngadiuba , Seda Ogrenci-Memik , Maurizio Pierini , Thea Aarrestad , Steffen Bahr , Jurgen Becker , Anne-Sophie Berthold , Richard J. Bonventre , Tomas E. Muller Bravo , Markus Diefenthaler , Zhen Dong , Nick Fritzsche , Amir Gholami , Ekaterina Govorkova , Kyle J Hazelwood , Christian Herwig , Babar Khan , Sehoon Kim , Thomas Klijnsma , Yaling Liu , Kin Ho Lo , Tri Nguyen , Gianantonio Pezzullo , Seyedramin Rasoulinezhad , Ryan A. Rivera , Kate Scholberg , Justin Selig , Sougata Sen , Dmitri Strukov , William Tang , Savannah Thais , Kai Lukas Unger , Ricardo Vilalta , Belinavon Krosigk , Thomas K. Warburton , Maria Acosta Flechas , Anthony Aportela , Thomas Calvet , Leonardo Cristella , Daniel Diaz , Caterina Doglioni , Maria Domenica Galati , Elham E Khoda , Farah Fahim , Davide Giri , Benjamin Hawks , Duc Hoang , Burt Holzman , Shih-Chieh Hsu , Sergo Jindariani , Iris Johnson , Raghav Kansal , Ryan Kastner , Erik Katsavounidis , Jeffrey Krupa , Pan Li , Sandeep Madireddy , Ethan Marx , Patrick McCormack , Andres Meza , Jovan Mitrevski , Mohammed Attia Mohammed , Farouk Mokhtar , Eric Moreno , Srishti Nagu , Rohin Narayan , Noah Palladino , Zhiqiang Que , Sang Eon Park , Subramanian Ramamoorthy , Dylan Rankin , Simon Rothman , Ashish Sharma , Sioni Summers , Pietro Vischia , Jean-Roch Vlimant , Olivia Weng

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* 66 pages, 13 figures, 5 tables 
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A FAIR and AI-ready Higgs Boson Decay Dataset



Yifan Chen , E. A. Huerta , Javier Duarte , Philip Harris , Daniel S. Katz , Mark S. Neubauer , Daniel Diaz , Farouk Mokhtar , Raghav Kansal , Sang Eon Park , Volodymyr V. Kindratenko , Zhizhen Zhao , Roger Rusack

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* 14 pages, 3 figures. Learn about the FAIR4HEP project at https://fair4hep.github.io 
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Estimation of 2D Velocity Model using Acoustic Signals and Convolutional Neural Networks



Marco Apolinario , Samuel Huaman Bustamante , Giorgio Morales , Joel Telles , Daniel Diaz

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* Submitted to IEEE XXVI International Conference on Electronics, Electrical Engineering and Computing (INTERCON 2019). Lima, Peru 
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On the Implementation of GNU Prolog



Daniel Diaz , Salvador Abreu , Philippe Codognet

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* 30 pages, 3 figures, To appear in Theory and Practice of Logic Programming (TPLP); Keywords: Prolog, logic programming system, GNU, ISO, WAM, native code compilation, Finite Domain constraints 
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Parallel local search for solving Constraint Problems on the Cell Broadband Engine (Preliminary Results)



Salvator Abreu , Daniel Diaz , Philippe Codognet

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* EPTCS 5, 2009, pp. 97-111 
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