Eric Darve
Orcid: 0000-0002-1938-3836Affiliations:
- Stanford University, Institute for Computational and Mathematical Engineering, CA, USA
According to our database1,
Eric Darve
authored at least 100 papers
between 2000 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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on orcid.org
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on id.loc.gov
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on github.com
On csauthors.net:
Bibliography
2024
Learning reduced-order models for cardiovascular simulations with graph neural networks.
Comput. Biol. Medicine, January, 2024
Hybrid Physics-Based and Data-Driven Modeling of Vascular Bifurcation Pressure Differences.
CoRR, 2024
2023
Optim. Methods Softw., March, 2023
CoRR, 2023
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source.
CoRR, 2023
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor.
CoRR, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
SIAM J. Matrix Anal. Appl., 2022
Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers.
Parallel Comput., 2022
J. Sci. Comput., 2022
Physics constrained learning for data-driven inverse modeling from sparse observations.
J. Comput. Phys., 2022
CoRR, 2022
Scalable low-rank factorization using a task-based runtime system with distributed memory.
Proceedings of the PASC '22: Platform for Advanced Scientific Computing Conference, Basel, Switzerland, June 27, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
2021
J. Parallel Distributed Comput., 2021
J. Comput. Phys., 2021
Comput. Geosci., 2021
Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry.
CoRR, 2021
CoRR, 2021
A fast sparse QR factorization for solving linear least squares problems in graphics.
Proceedings of the SIGGRAPH 2021: Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2021
Proceedings of the PASC '21: Platform for Advanced Scientific Computing Conference, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
Proceedings of the AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 22nd - to, 2021
2020
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors.
SIAM J. Sci. Comput., 2020
SIAM J. Matrix Anal. Appl., 2020
Learning constitutive relations from indirect observations using deep neural networks.
J. Comput. Phys., 2020
Parallelization of the inverse fast multipole method with an application to boundary element method.
Comput. Phys. Commun., 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
CoRR, 2020
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks.
CoRR, 2020
CoRR, 2020
CoRR, 2020
Proceedings of the 3rd IEEE/ACM Annual Parallel Applications Workshop: Alternatives To MPI+X, 2020
Proceedings of Mathematical and Scientific Machine Learning, 2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020
Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020
2019
SIAM J. Sci. Comput., 2019
SIAM J. Matrix Anal. Appl., 2019
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling.
J. Comput. Phys., 2019
CoRR, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
SIAM J. Matrix Anal. Appl., 2018
Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices.
SIAM J. Matrix Anal. Appl., 2018
Parallel Comput., 2018
Sparse supernodal solver using block low-rank compression: Design, performance and analysis.
J. Comput. Sci., 2018
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs.
CoRR, 2018
2017
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation.
SIAM J. Sci. Comput., 2017
The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems.
SIAM J. Sci. Comput., 2017
Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method.
J. Comput. Phys., 2017
CoRR, 2017
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium Workshops, 2017
2016
J. Comput. Phys., 2016
2015
SIAM J. Sci. Comput., 2015
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems.
CoRR, 2015
CoRR, 2015
2014
SIAM J. Sci. Comput., 2014
J. Chem. Inf. Model., 2014
A Kalman filter powered by H<sup>2</sup>-matrices for quasi-continuous data assimilation problems.
CoRR, 2014
2013
SIAM J. Sci. Comput., 2013
An O (N log N) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices - With Application to Radial Basis Function Interpolation.
J. Sci. Comput., 2013
Erratum to "A fast algorithm for sparse matrix computations related to inversion" [J. Comput. Physics 242 (2013) 915-945].
J. Comput. Phys., 2013
J. Comput. Phys., 2013
2012
Fast directional multilevel summation for oscillatory kernels based on Chebyshev interpolation.
J. Comput. Phys., 2012
Extension and optimization of the FIND algorithm: Computing Green's and less-than Green's functions.
J. Comput. Phys., 2012
CoRR, 2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the 2012 SC Companion: High Performance Computing, 2012
Proceedings of the 8th IEEE International Conference on E-Science, 2012
2011
Proceedings of the Conference on High Performance Computing Networking, 2011
2009
J. Comput. Phys., 2009
2008
J. Comput. Phys., 2008
J. Comput. Phys., 2008
J. Comput. Phys., 2008
2007
2006
Proceedings of the ACM/IEEE SC2006 Conference on High Performance Networking and Computing, 2006
2004
Proceedings of the ACM/IEEE SC2004 Conference on High Performance Networking and Computing, 2004
2000
SIAM J. Numer. Anal., 2000