Reconstructing Spectral Reflectances with Mixture Density Networks. - Alejandro Ribés; Francis J. M. Schmitt (CGIV, 2002)

Color and Multispectral Imaging with the CRISATEL Multispectral System. - Alejandro Ribés; Hans Brettel; Francis J. M. Schmitt; Haida Liang; John Cupitt; David Saunders 001 (PICS, 2003)

A fully automatic method for the reconstruction of spectral reflectance curves by using mixture density networks. - Alejandro Ribés; Francis J. M. Schmitt (Pattern Recognit. Lett., 2003)

Calibration and Spectral Reconstruction for an Art Painting Multispectral Acquisition System. - Alejandro Ribés; Francis J. M. Schmitt; Hans Brettel (CGIV, 2004)

Studying That Smile. - Alejandro Ribés; Ruven Pillay; Francis J. M. Schmitt; Christian Lahanier (IEEE Signal Process. Mag., 2008)

Linear inverse problems in imaging. - Alejandro Ribés; Francis J. M. Schmitt (IEEE Signal Process. Mag., 2008)

11th International Symposium on Virtual Reality, Archaology and Cultural Heritge: 8th Eurographics Workshop on Graphics and Cultural Heritage. - Alessandro Artusi; Morwena Joly; Geneviève Lucet; Alejandro Ribés; Denis Pitzalis (Comput. Graph. Forum, 2011)

In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne. - Benjamin Lorendeau; Yvan Fournier; Alejandro Ribés (LDAV, 2013)

Visualizing statistical analysis of curve datasets in ParaView. - Alejandro Ribés; Joachim Pouderoux; Anne-Laure Popelin; Bertrand Iooss (IEEE VAST, 2014)

Visualizing results in the SALOME platform for large numerical simulations: An integration of ParaView. - Alejandro Ribés; Adrien Bruneton (LDAV, 2014)

In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into Code_Saturne. - Alejandro Ribés; Benjamin Lorendeau; Julien Jomier; Yvan Fournier (Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces, 2015)

In Situ Statistical Analysis for Parametric Studies. - Théophile Terraz; Bruno Raffin; Alejandro Ribés; Yvan Fournier (ISAV@SC, 2016)

Melissa: large scale in transit sensitivity analysis avoiding intermediate files. - Théophile Terraz; Alejandro Ribés; Yvan Fournier; Bertrand Iooss; Bruno Raffin (SC, 2017)

In-situ Visualization for Computation Workflows. - Alejandro Ribés; Ovidiu Mircescu; Anthony Geay; Yvan Fournier (ISC Workshops, 2017)

The Challenges of In Situ Analysis for Multiple Simulations. - Alejandro Ribés; Bruno Raffin (ISAV@SC, 2020)

Deep Surrogate for Direct Time Fluid Dynamics. - Lucas Thibaut Meyer; Louen Pottier; Alejandro Ribés; Bruno Raffin (CoRR, 2021)

Simulation-Based Parallel Training. - Lucas Thibaut Meyer; Alejandro Ribés; Bruno Raffin (CoRR, 2022)

Training Deep Surrogate Models with Large Scale Online Learning. - Lucas Thibaut Meyer; Marc Schouler; Robert Alexander Caulk; Alejandro Ribés; Bruno Raffin (ICML, 2023)

High Throughput Training of Deep Surrogates from Large Ensemble Runs. - Lucas Thibaut Meyer; Marc Schouler; Robert Alexander Caulk; Alejandro Ribés; Bruno Raffin (SC, 2023)

Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses. - Marc Schouler; Robert Alexander Caulk; Lucas Thibaut Meyer; Théophile Terraz; Christoph Conrads; Sebastian Friedemann; Achal Agarwal; Juan Manuel Baldonado; Bartlomiej Pogodzinski; Anna Sekula; Alejandro Ribés; Bruno Raffin (J. Open Source Softw., 2023)

A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis. - Alejandro Ribés; Nawfal Benchekroun; Théo Delagnes (CoRR, 2024)