Alejandro Ribés

25 papers A* 1A 2Journal 10Unranked 9
YearRankTypeTitle / Venue / Authors
2024 J jnl
A Fast Learning-Based Surrogate of Electrical Machines using a Reduced Basis.
CoRR
Alejandro Ribés, Nawfal Benchekroun, Théo Delagnes
2023 A conf
High Throughput Training of Deep Surrogates from Large Ensemble Runs.
SC
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
High Throughput Training of Deep Surrogates from Large Ensemble Runs.
CoRR
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
Melissa: coordinating large-scale ensemble runs for deep learning and sensitivity analyses.
J. Open Source Softw.
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
2023 A* conf
Training Deep Surrogate Models with Large Scale Online Learning.
ICML
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2023 J jnl
Training Deep Surrogate Models with Large Scale Online Learning.
CoRR
Lucas Thibaut Meyer, Marc Schouler, Robert Alexander Caulk, Alejandro Ribés, Bruno Raffin
2022 J jnl
Simulation-Based Parallel Training.
CoRR
Lucas Thibaut Meyer, Alejandro Ribés, Bruno Raffin
2021 J jnl
Deep Surrogate for Direct Time Fluid Dynamics.
CoRR
Lucas Thibaut Meyer, Louen Pottier, Alejandro Ribés, Bruno Raffin
2020 — conf
The Challenges of In Situ Analysis for Multiple Simulations.
ISAV@SC
Alejandro Ribés, Bruno Raffin
2017 — conf
In-situ Visualization for Computation Workflows.
ISC Workshops
Alejandro Ribés, Ovidiu Mircescu, Anthony Geay, Yvan Fournier
2017 A conf
Melissa: large scale in transit sensitivity analysis avoiding intermediate files.
SC
Théophile Terraz, Alejandro Ribés, Yvan Fournier, Bertrand Iooss, Bruno Raffin
2016 — conf
In Situ Statistical Analysis for Parametric Studies.
ISAV@SC
Théophile Terraz, Bruno Raffin, Alejandro Ribés, Yvan Fournier
2015 — ch.
In-Situ Visualization in Computational Fluid Dynamics Using Open-Source tools: Integration of Catalyst into
Topological and Statistical Methods for Complex Data, Tackling Large-Scale, High-Dimensional, and Multivariate Data Spaces
Alejandro Ribés, Benjamin Lorendeau, Julien Jomier, Yvan Fournier
2014 — conf
Visualizing results in the SALOME platform for large numerical simulations: An integration of ParaView.
LDAV
Alejandro Ribés, Adrien Bruneton
2014 — conf
Visualizing statistical analysis of curve datasets in ParaView.
IEEE VAST
Alejandro Ribés, Joachim Pouderoux, Anne-Laure Popelin, Bertrand Iooss
2013 — conf
In-Situ visualization in fluid mechanics using Catalyst: A case study for Code Saturne.
LDAV
Benjamin Lorendeau, Yvan Fournier, Alejandro Ribés
2011 J jnl
11th International Symposium on Virtual Reality, Archaology and Cultural Heritge: 8th Eurographics Workshop on Graphics and Cultural Heritage.
Comput. Graph. Forum
Alessandro Artusi, Morwena Joly, Geneviève Lucet, Alejandro Ribés, Denis Pitzalis
2010 — ed.
11th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, incorporating the 8th Eurographics Workshop on Graphics and Cultural Heritage, VAST 2010 - Short and Project Papers, Paris, France, September 21-24, 2010
VAST (Short and Project Papers)
Alessandro Artusi, Morwena Joly-Parvex, Geneviève Lucet, Denis Pitzalis, Alejandro Ribés
2010 — ed.
11th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, incorporating the 8th Eurographics Workshop on Graphics and Cultural Heritage, VAST 2010, Paris, France, September 21-24, 2010
VAST
Alessandro Artusi, Morwena Joly, Geneviève Lucet, Denis Pitzalis, Alejandro Ribés
2008 J jnl
Linear inverse problems in imaging.
IEEE Signal Process. Mag.
Alejandro Ribés, Francis J. M. Schmitt
2008 J jnl
Studying That Smile.
IEEE Signal Process. Mag.
Alejandro Ribés, Ruven Pillay, Francis J. M. Schmitt, Christian Lahanier
2004 — conf
Calibration and Spectral Reconstruction for an Art Painting Multispectral Acquisition System.
CGIV
Alejandro Ribés, Francis J. M. Schmitt, Hans Brettel
2003 J jnl
A fully automatic method for the reconstruction of spectral reflectance curves by using mixture density networks.
Pattern Recognit. Lett.
Alejandro Ribés, Francis J. M. Schmitt
2003 — conf
Color and Multispectral Imaging with the CRISATEL Multispectral System.
PICS
Alejandro Ribés, Hans Brettel, Francis J. M. Schmitt, Haida Liang, John Cupitt, David Saunders
2002 — conf
Reconstructing Spectral Reflectances with Mixture Density Networks.
CGIV
Alejandro Ribés, Francis J. M. Schmitt