Eric Darve

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 80

Top Venues

CoRR

SIAM J. Sci. Comput.

J. Comput. Phys.

SIAM J. Matrix Anal. Appl.

Publications

Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
Learning reduced-order models for cardiovascular simulations with graph neural networks. Comput. Biol. Medicine 168 (2024)
Ryan Humble, Zhe Zhang, Finn O'Shea, Eric Darve, Daniel Ratner
Coincident Learning for Unsupervised Anomaly Detection. CoRR (2023)
Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
HyKKT: a hybrid direct-iterative method for solving KKT linear systems. Optim. Methods Softw. 38 (2) (2023)
Ryan Humble, William Colocho, Finn O'Shea, Daniel Ratner, Eric Darve
Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. CoRR (2023)
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
Anomaly Detection with Domain Adaptation. CVPR Workshops (2023)
Zan Xu, Juan J. Alonso, Eric Darve
A numerically stable communication-avoiding s-step GMRES algorithm. CoRR (2023)
Luca Pegolotti, Martin R. Pfaller, Natalia L. Rubio, Ke Ding, Rita Brugarolas Brufau, Eric Darve, Alison L. Marsden
Learning Reduced-Order Models for Cardiovascular Simulations with Graph Neural Networks. CoRR (2023)
Yizhou Qian, Jonathan Wang, Quentin Douasbin, Eric Darve
Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor. CoRR (2023)
Tetiana Parshakova, Trevor Hastie, Eric Darve, Stephen Boyd
Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices. CoRR (2023)
Tiffany Fan, Nathaniel Trask, Marta D'Elia, Eric Darve
Probabilistic partition of unity networks for high-dimensional regression problems. CoRR (2022)
Kailai Xu, Eric Darve
Physics constrained learning for data-driven inverse modeling from sparse observations. J. Comput. Phys. 453 (2022)
Abeynaya Gnanasekaran, Eric Darve
Hierarchical Orthogonal Factorization: Sparse Square Matrices. SIAM J. Matrix Anal. Appl. 43 (1) (2022)
Abeynaya Gnanasekaran, Eric Darve
Scalable low-rank factorization using a task-based runtime system with distributed memory. PASC (2022)
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve
Memory-Augmented Generative Adversarial Networks for Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose M. Alvarez
Soft Masking for Cost-Constrained Channel Pruning. CoRR (2022)
Ryan Humble, Maying Shen, Jorge Albericio Latorre, Eric Darve, Jose M. Alvarez
Soft Masking for Cost-Constrained Channel Pruning. ECCV (11) (2022)
Abeynaya Gnanasekaran, Eric Darve
Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. J. Sci. Comput. 91 (2) (2022)
Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers. Parallel Comput. 111 (2022)
Abeynaya Gnanasekaran, Eric Darve
A fast sparse QR factorization for solving linear least squares problems in graphics. SIGGRAPH Talks (2021)
Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. EMNLP (1) (2021)
Kasia Swirydowicz, Eric Darve, Wesley B. Jones, Jonathan Maack, Shaked Regev, Michael A. Saunders, Stephen J. Thomas, Slaven Peles
Linear solvers for power grid optimization problems: a review of GPU-accelerated linear solvers. CoRR (2021)
Mojtaba Forghani, Yizhou Qian, Jonghyun Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
Deep Learning-based Fast Solver of the Shallow Water Equations. AAAI Spring Symposium: MLPS (2021)
Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication. J. Parallel Distributed Comput. 154 (2021)
Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve
Universal Sentence Representation Learning with Conditional Masked Language Model. EMNLP (1) (2021)
Abeynaya Gnanasekaran, Eric Darve
Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. CoRR (2021)
Weiqiang Zhu, Kailai Xu, Eric Darve, Gregory C. Beroza
A general approach to seismic inversion with automatic differentiation. Comput. Geosci. 151 (2021)
Kailai Xu, Daniel Z. Huang, Eric Darve
Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. 428 (2021)
Ziyi Yang, Yinfei Yang, Daniel Cer, Eric Darve
A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. CoRR (2021)
Zan Xu, Léopold Cambier, Juan J. Alonso, Eric Darve
Towards a Scalable Hierarchical High-order CFD Solver. CoRR (2021)
Shaked Regev, Naiyuan Chiang, Eric Darve, Cosmin G. Petra, Michael A. Saunders, Kasia Swirydowicz, Slaven Peles
A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. CoRR (2021)
Kailai Xu, Eric Darve
Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. CoRR (2021)
Kailai Xu, Eric Darve
ADCME MPI: Distributed Machine Learning for Computational Engineering. AAAI Spring Symposium: MLPS (2021)
Léopold Cambier, Eric Darve
A task-based distributed parallel sparsified nested dissection algorithm. PASC (2021)
Yizhou Qian, Mojtaba Forghani, Jonghyun Harry Lee, Matthew W. Farthing, Tyler J. Hesser, Peter K. Kitanidis, Eric Darve
Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. CoRR (2020)
Qi Zhang, Yilin Chen, Ziyi Yang, Eric Darve
Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem. CoRR (2020)
Kailai Xu, Eric Darve
Data-Driven Inverse Modeling with Incomplete Observations. AAAI Spring Symposium: MLPS (2020)
Kailai Xu, Eric Darve
Physics Constrained Learning for Data-driven Inverse Modeling from Sparse Observations. CoRR (2020)
Daniel Z. Huang, Kailai Xu, Charbel Farhat, Eric Darve
Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. 416 (2020)
Kailai Xu, Alexandre M. Tartakovsky, Jeff Burghardt, Eric Darve
Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. CoRR (2020)
Léopold Cambier, Yizhou Qian, Eric Darve
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. CoRR (2020)
Bazyli Klockiewicz, Léopold Cambier, Ryan Humble, Hamdi A. Tchelepi, Eric Darve
Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices. CoRR (2020)
Léopold Cambier, Yizhou Qian, Eric Darve
TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. PAW-ATM@SC (2020)
Kailai Xu, Eric Darve
ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. CoRR (2020)
Bazyli Klockiewicz, Eric Darve
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. SIAM J. Sci. Comput. 42 (6) (2020)
Abeynaya Gnanasekaran, Eric Darve
Hierarchical Orthogonal Factorization: Sparse Square matrices. CoRR (2020)
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. CoRR (2020)
Kailai Xu, Daniel Z. Huang, Eric Darve
Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR (2020)
Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve
Memory Augmented Generative Adversarial Networks for Anomaly Detection. CoRR (2020)
Kailai Xu, Weiqiang Zhu, Eric Darve
Distributed Machine Learning for Computational Engineering using MPI. CoRR (2020)
Kailai Xu, Eric Darve
Calibrating Multivariate Lévy Processes with Neural Networks. MSML (2020)
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. ECAI (2020)
Ziyi Yang, Chenguang Zhu, Robert Gmyr, Michael Zeng, Xuedong Huang, Eric Darve
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. EMNLP (Findings) (2020)
Ziyi Yang, Yinfei Yang, Daniel Cer, Jax Law, Eric Darve
Universal Sentence Representation Learning with Conditional Masked Language Model. CoRR (2020)
Tiffany Fan, Kailai Xu, Jay Pathak, Eric Darve
Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. CoRR (2020)
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. CoRR (2020)
Ziyi Yang, Iman Soltani Bozchalooi, Eric Darve
Anomaly Detection with Domain Adaptation. CoRR (2020)
Toru Takahashi, Chao Chen, Eric Darve
Parallelization of the inverse fast multipole method with an application to boundary element method. Comput. Phys. Commun. 247 (2020)
Léopold Cambier, Chao Chen, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. SIAM J. Matrix Anal. Appl. 41 (2) (2020)
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
Embedding Imputation with Grounded Language Information. ACL (1) (2019)
Léopold Cambier, Eric Darve
Fast Low-Rank Kernel Matrix Factorization Using Skeletonized Interpolation. SIAM J. Sci. Comput. 41 (3) (2019)
Chao Chen, Léopold Cambier, Erik G. Boman, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Eric Darve
A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. J. Comput. Phys. 396 (2019)
Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
Block Basis Factorization for Scalable Kernel Evaluation. SIAM J. Matrix Anal. Appl. 40 (4) (2019)
Kailai Xu, Eric Darve
Adversarial Numerical Analysis for Inverse Problems. CoRR (2019)
Ziyi Yang, Chenguang Zhu, Vin Sachidananda, Eric Darve
Embedding Imputation with Grounded Language Information. CoRR (2019)
Ruoxi Wang, Chao Chen, Jonghyun Lee, Eric Darve
PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. CoRR (2019)
Bazyli Klockiewicz, Eric Darve
Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. CoRR (2019)
Kailai Xu, Dongzhuo Li, Eric Darve, Jerry M. Harris
Learning Hidden Dynamics using Intelligent Automatic Differentiation. CoRR (2019)
Kailai Xu, Eric Darve
Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. CoRR (2018)
Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman
Sparse supernodal solver using block low-rank compression: Design, performance and analysis. J. Comput. Sci. 27 (2018)
Ruoxi Wang, Yingzhou Li, Eric Darve
On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. SIAM J. Matrix Anal. Appl. 39 (4) (2018)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. Parallel Comput. 74 (2018)
Emmanuel Agullo, Eric Darve, Luc Giraud, Yuval Harness
Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. SIAM J. Matrix Anal. Appl. 39 (4) (2018)
Chao Chen, Hadi Pouransari, Sivasankaran Rajamanickam, Erik G. Boman, Eric Darve
A distributed-memory hierarchical solver for general sparse linear systems. CoRR (2017)
Pieter Coulier, Hadi Pouransari, Eric Darve
The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. SIAM J. Sci. Comput. 39 (3) (2017)
Gregoire Pichon, Eric Darve, Mathieu Faverge, Pierre Ramet, Jean Roman
Sparse Supernodal Solver Using Block Low-Rank Compression. IPDPS Workshops (2017)
Ruoxi Wang, Yingzhou Li, Eric Darve
On the numerical rank of radial basis function kernel matrices in high dimension. CoRR (2017)
Hadi Pouransari, Pieter Coulier, Eric Darve
Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. SIAM J. Sci. Comput. 39 (3) (2017)
Toru Takahashi, Pieter Coulier, Eric Darve
Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method. J. Comput. Phys. 341 (2017)
Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
Task-based FMM for heterogeneous architectures. Concurr. Comput. Pract. Exp. 28 (9) (2016)
Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve
A fast block low-rank dense solver with applications to finite-element matrices. J. Comput. Phys. 304 (2016)
Hadi Pouransari, Eric Darve
Optimizing the Adaptive Fast Multipole Method for Fractal Sets. SIAM J. Sci. Comput. 37 (2) (2015)
Jonathan Wong, Ellen Kuhl, Eric Darve
A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems. CoRR (2015)
Ruoxi Wang, Yingzhou Li, Michael W. Mahoney, Eric Darve
Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. CoRR (2015)
Hadi Pouransari, Pieter Coulier, Eric Darve
Fast hierarchical solvers for sparse matrices. CoRR (2015)
Pieter Coulier, Hadi Pouransari, Eric Darve
The inverse fast multipole method: using a fast approximate direct solver as a preconditioner for dense linear systems. CoRR (2015)
Amirhossein Aminfar, Sivaram Ambikasaran, Eric Darve
A Fast Block Low-Rank Dense Solver with Applications to Finite-Element Matrices. CoRR (2014)
Judith Y. Li, Sivaram Ambikasaran, Eric Darve, Peter K. Kitanidis
-matrices for quasi-continuous data assimilation problems. CoRR (2014)
Badi Abdul-Wahid, Haoyun Feng, Dinesh Rajan, Ronan Costaouec, Eric Darve, Douglas Thain, Jesús A. Izaguirre
AWE-WQ: Fast-Forwarding Molecular Dynamics Using the Accelerated Weighted Ensemble. J. Chem. Inf. Model. 54 (10) (2014)
Amirhossein Aminfar, Eric Darve
A Fast Sparse Solver for Finite-Element Matrices. CoRR (2014)
Pierre-David Létourneau, Cris Cecka, Eric Darve
Cauchy Fast Multipole Method for General Analytic Kernels. SIAM J. Sci. Comput. 36 (2) (2014)
Sivaram Ambikasaran, Eric Darve
The Inverse Fast Multipole Method. CoRR (2014)
Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
Task-Based FMM for Multicore Architectures. SIAM J. Sci. Comput. 36 (1) (2014)
Song Li, W. Wu, Eric Darve
A fast algorithm for sparse matrix computations related to inversion. J. Comput. Phys. 242 (2013)
Cris Cecka, Eric Darve
Fourier-Based Fast Multipole Method for the Helmholtz Equation. SIAM J. Sci. Comput. 35 (1) (2013)
Song Li, W. Wu, Eric Darve
Erratum to "A fast algorithm for sparse matrix computations related to inversion" [J. Comput. Physics 242 (2013) 915-945]. J. Comput. Phys. 251 (2013)
Sivaram Ambikasaran, Eric Darve
An O (N log N) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices - With Application to Radial Basis Function Interpolation. J. Sci. Comput. 57 (3) (2013)
Matthias Messner, Bérenger Bramas, Olivier Coulaud, Eric Darve
Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method CoRR (2012)
Matthias Messner, Martin Schanz, Eric Darve
Fast directional multilevel summation for oscillatory kernels based on Chebyshev interpolation. J. Comput. Phys. 231 (4) (2012)
Emmanuel Agullo, George Bosilca, Bérenger Bramas, Cedric Castagnede, Olivier Coulaud, Eric Darve, Jack J. Dongarra, Mathieu Faverge, Nathalie Furmento, Luc Giraud, Xavier Lacoste, Julien Langou, Hatem Ltaief, Matthias Messner, Raymond Namyst, Pierre Ramet, Toru Takahashi, Samuel Thibault, Stanimire Tomov, Ichitaro Yamazaki
Abstract: Matrices Over Runtime Systems at Exascale. SC Companion (2012)
Emmanuel Agullo, Bérenger Bramas, Olivier Coulaud, Eric Darve, Matthias Messner, Toru Takahashi
Pipelining the Fast Multipole Method over a Runtime System CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Eric Darve