Publications and citation

Citation

Proper acknowledgement is kindly requested if Artemisa made possible your publication, project, poster, etc. with the following text:

The authors gratefully acknowledge the computer resources at Artemisa and the technical support provided by the Instituto de Fisica Corpuscular, IFIC(CSIC-UV). Artemisa is co-funded by the European Union through the 2014-2020 ERDF Operative Programme of Comunitat Valenciana, project IDIFEDER/2018/048.

Publications

• Zhang, M., Fernández-Torres, & Camps-Valls, G. Domain Knowledge-Driven Variational Recurrent Networks for Drought Monitoring.
• 'Testing universality of gauge theories' Alberto Ramos Martinez (Valencia U., IFIC), Guilherme Catumba (Valencia U., IFIC) DOI: 10.22323/1.430.0383
• "Cutoff effects and scale determinations in pure gauge theory" Alberto R. Martinez https://conference.ippp.dur.ac.uk/event/1265/contributions/7682/"
• ATLAS Collaboration, "Differential cross-section measurements of Higgs boson production in the decay channel in pp collisions at sqrt(s)=13 TeV with the ATLAS detector", arXiv:2407.16320
• The ATLAS collaboration., Aad, G., Abbott, B. et al. Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment., J. High Energ. Phys. 2024, 162 (2024).
• The ATLAS collaboration., Aad, G., Abbott, B. et al.Measurement of the total and differential cross-sections of production in pp collisions at sqrt{s}= 13 TeV with the ATLAS detector. J. High Energ. Phys. 2024, 131 (2024).
• The ATLAS Collaboration., Aad, G., Abbott, B. et al., Measurement of the and cross-sections in pp collisions at TeV with the ATLAS detector.,Eur. Phys. J. C 84, 78,  (2024).
• The ATLAS Collaboration., Aad, G., Aakvaag, B. et al. The ATLAS trigger system for LHC Run 3 and trigger performance in 2022, JINST 19 P06029 2024
• A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications Authors: Joshua Albert, Csaba Balazs, Andrew Fowlie, Will Handley, Nicholas Hunt-Smith, Roberto Ruiz de Austri, Martin White, arXiv:2409.18464
• Universal Anomaly Detection at the LHC: Transforming Optimal Classifiers and the DDD Method Authors: Sascha Caron, José Enrique García Navarro, María Moreno Llácer, Polina Moskvitina, Mats Rovers,Adrián Rubio Jímenez, Roberto Ruiz de Austri, Zhongyi Zhang arXiv:2406.18469
• Study of the scaling behaviour of lattice actions at the Lattice conference in Liverpool. https://conference.ippp.dur.ac.uk/event/1265/contributions/7682/.
• Drissi M., Keeble J. W. T, Rozalén Sarmiento J. and Rios A. 2024, Second-order optimization strategies for neural network quantum states, Phil. Trans. R. Soc. A. 382 20240057
• Jesús Mosteiro García, Machine learning for self-bound quantum systems , Màster de Ciència i Tecnologia Quàntiques, Universitat de Barcelona
• “Evaluation of Systematic Uncertainties coming from the application of ML/DL methods in the search for ttbar resonances in the ATLAS experiment (CERN)". Authors: G. Arbona, S. González de la Hoz, A. Pérez García, J. Salt Instituto de Física Corpuscular(CSIC-UV) , Universitat de València.  Talk given  on 16th  July  2024 in the  Bienal RSEF in Donosti (Spain) 15-19 July 2024
• Forecasting geomagnetic storm disturbances and their uncertainties using deep learning.Conde, D., Castillo, F. L., Escobar, C., García, C., García, J. E., Sanz, V., et al. (2023) Space Weather, 21, e2023SW003474.
• Second-order optimisation strategies for neural network quantum states M. Drissi, J. W. T. Keeble, J. Rozalén Sarmiento & A. Rios
• Machine learning the deuteron: new architectures and uncertainty quantification, J. Rozalén Sarmiento, J. W. T. Keeble and A. Rios, Eur. Phys. J. Plus 139, 189 (2024).
• "Bridging scales: At the crossroads among renormalisation group, multi-scale modelling, and deep learning" (https://indico.ectstar.eu/event/200/), ECT* Trento (Italy), 15-19 April 2024.
• Align and Augment: Generative Data Augmentation for Compositional Generalization. In Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers), pages 369–383, Malta. Francesco Cazzaro, Davide Locatelli, and Ariadna Quattoni. https://aclanthology.org/2024.eacl-long.22/
• Leveraging the Structure of Pre-trained Embeddings to Minimize Annotation Effort. Accepted at NAACL 2024, Mexico. Cesar Gonzalez-Gutierrez, Ariadna Quattoni.
• Does Fine-tuning a Classifier Help in Low-budget Scenarios? Not Much. Accepted at 5th Workshop on Insights from Negative Results in NLP, Mexico. Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni.
• Identification of tidal features in deep optical galaxy images with Convolutional Neural Networks, Domínguez Sánchez H., G. Martin, I. Damjanov, et al.; 2023, MNRAS, 521, 3, pp.3861-3872
• Revisiting the SFR-Mass relation at z=0 with detailed deep learning based morphologies; H. Domínguez Sánchez, M.Bernardi and M. Huertas-Company;  Memorie della Societa Astronomica Italiana
• SDSS-IV DR17: final release of MaNGA PyMorph photometric and deep-learning morphological catalogues, Domínguez Sánchez H., Margalef B., Bernardi M., Huertas-Company M., 2022, MNRAS, 509, 3, 4024-4036
• Improved forecasting of extreme hurricane events by integrating spatio-temporal CNN-RF learning of tropical cyclone characteristics. Front. Earth Sci. 11:1223154.Martinez-Amaya J, Longépé N, Nieves V and Muñoz-Marí J (2023)
• Protocol for the Development of Automatic Multisensory Systems to Analyze Human Activity for Functional Evaluation: Application to the EYEFUL System. Applied Sciences, 14(8), 3415. Paula Obeso-Benítez, Marta Pérez-de-Heredia-Torres, Elisabet Huertas-Hoyas, Patricia Sánchez-Herrera-Baeza, Nuria Máximo-Bocanegra, Sergio Serrada-Tejeda, Marta Marron-Romera, Javier Macias-Guarasa, Cristina Losada-Gutierrez, Sira E Palazuelos-Cagigas, Jose L Martin-Sanchez, Rosa M Martínez-Piédrola (2024).
• A hybrid cascade-parallel discriminative-generative model for pipeline integrity threat detection in a smart fiber optic surveillance system. Multimedia Tools and Applications, 1-25 (2024). Tejedor, J., Macias-Guarasa, J., Martins, H. F., Martin-Lopez, S., & Gonzalez-Herraez, M. (2024).
• Pereira-Sánchez, I., Sans, E., Navarro, J., & Duran, J. (n.d.). A comprehensive overview of satellite image fusion: From classical model-based to cutting-edge deep learning approaches. In Super-resolution for remote sensing (1st ed.). Springer.
• Development of embedded machine learning potentials for simulations of enzymatic catalysis. Poster presentation at YRChem2024 (best poster award). Valentin Gradisteanu, Jose Javier Ruíz Pernía, Kirill Zinovjev.
• The AIDE Toolbox: AI for Disentangling Extreme Events. Gonzalez-Calabuig, M., Cortés-Andrés, J., Williams, T., Zhang, M., Pellicer-Valero, O. J., Fernández-Torres, M. Á., & Camps-Valls, G. (2024).
• "Gradient-annihilated PINNs for solving Riemann problems: Application to relativistic hydrodynamics" Antonio Ferrer-Sánchez, José D. Martín-Guerrero, Roberto Ruiz de Austri-Bazan, Alejandro Torres-Forné, José A. Font
• "Physics-informed neural networks for an optimal counterdiabatic quantum computation". Antonio Ferrer-Sánchez, Carlos Flores-Garrigos, Carlos Hernani-Morales, José J Orquín-Marqués, Narendra N Hegade, Alejandro Gomez Cadavid, Iraitz Montalban, Enrique Solano, Yolanda Vives-Gilabert and José D Martín-Guerrero
• Anomaly Awareness Charanjit K. Khosa and Veronica Sanz.
• ACOUSTIC SOURCE LOCALIZATION IN THE SPHERICAL HARMONICS DOMAIN
  EXPLOITING LOW-RANK APPROXIMATIONS Maximo Cobos, Mirco Pezzoli, Fabio Antonacci, Augusto Sarti
• Precision CMB constraints on eV-scale bosons coupled to neutrinos Stefan Sandner, Miguel Escudero and Samuel J. Witte
• Benchmarking energy consumption and latency for neuromorphic computing in condensed matter and particle physics Dominique J. Kösters, Bryan A. Kortman, Irem Boybat, Elena Ferro, Sagar Dolas, Roberto Ruiz de Austri, Johan Kwisthout, Hans Hilgenkamp, Theo Rasing, Heike Riel, Abu Sebastian, Sascha Caron and Johan H. Mentink
• Learning Trivializing Flows in a 𝝓4 theory from coarser lattices David Albandea, Luigi Del Debbio, Pilar Hernández, Richard Kenway, Joe
  Marsh Rossney and Alberto Ramos
• Generating gravitational waveform libraries of exotic compact binaries with deep learning Felipe F. Freitas, Carlos A. R. Herdeiro, António P. Moraisa, António Onofre, Roman Pasechnike, Eugen Radu, Nicolas Sanchis-Gualc and Rui Santos
• Convolutional neural network search for long-duration transient gravitational waves from glitching pulsars Luana M. Modafferi , Rodrigo Tenorio and David Keitel
• Reducing the number of qubits by a half in one dimensional quantum simulations of Ising chains Somayeh Mehrabankar, Miguel Ángel García-March, Carmen G. Almudéver and Armando Pérez
• Comparison of neural network architectures for feature extraction from binary black hole merger waveforms Osvaldo Gramaxo Freitas, Juan Calderón Bustillo,José A. Font, Solange Nunes,Antonio Onofre, and Alejandro Torres-Forné
• Identification of tidal features in deep optical galaxy images with Convolutional Neural Networks H. Domínguez Sánchez, G. Martin, I. Damjanov, F. Buitrago, M. Huertas-Company, C. Bottrell, M. Bernardi, J. H. Knapen, J. Vega-Ferrero, R. Hausen, E. Kado-Fong, D. Población-Criado, H. Souchereau, O. K. Leste, B. Robertson, B. Sahelices, K.V. Johnston
• Topological sampling through windings David Albandea, Pilar Hernández, Alberto Ramos and Fernando Romero-López
• Analyzing Text Representations by Measuring Task Alignment Cesar Gonzalez-Gutierrez, Audi Primadhanty, Francesco Cazzaro, Ariadna Quattoni
• Learning Trivializing Flows D. Albandea, P. Hernández, and A. Ramos