The Fast Multipole Method I: Error Analysis and Asymptotic Complexity. - Eric Darve (SIAM J. Numer. Anal., 2000)

Analysis and Performance Results of a Molecular Modeling Application on Merrimac. - Mattan Erez; Jung Ho Ahn; Ankit Garg; William J. Dally; Eric Darve (SC, 2004)

Poster reception - N-Body simulation on GPUs. - Erich Elsen; Mike Houston; Vaidyanathan Vishal; Eric Darve; Pat Hanrahan; Vijay S. Pande (SC, 2006)

N-Body Simulations on GPUs - Erich Elsen; Vaidyanathan Vishal; Mike Houston; Vijay S. Pande; Pat Hanrahan; Eric Darve (CoRR, 2007)

Large calculation of the flow over a hypersonic vehicle using a GPU. - Erich Elsen; Patrick LeGresley; Eric Darve (J. Comput. Phys., 2008)

Stability of asynchronous variational integrators. - William Fong; Eric Darve; Adrian Lew (J. Comput. Phys., 2008)

Fast electrostatic force calculation on parallel computer clusters. - Amirali Kia; Daejoong Kim; Eric Darve (J. Comput. Phys., 2008)

Computing entries of the inverse of a sparse matrix using the FIND algorithm. - Song Li; Shaikh S. Ahmed; Gerhard Klimeck; Eric Darve (J. Comput. Phys., 2008)

The black-box fast multipole method. - William Fong; Eric Darve (J. Comput. Phys., 2009)

A hybrid method for the parallel computation of Green's functions. - Dan Erik Petersen; Song Li; Kurt Stokbro; Hans Henrik B. Sørensen; Per Christian Hansen; Stig Skelboe; Eric Darve (J. Comput. Phys., 2009)

Liszt: a domain specific language for building portable mesh-based PDE solvers. - Zach DeVito; Niels Joubert; Francisco Palacios; Stephen Oakley; Montserrat Medina; Mike Barrientos; Erich Elsen; Frank Ham; Alex Aiken; Karthik Duraisamy; Eric Darve; Juan J. Alonso; et al. (SC, 2011)

Folding proteins at 500 ns/hour with Work Queue. - Badi Abdul-Wahid; Li Yu; Dinesh Rajan; Haoyun Feng; Eric Darve; Douglas Thain; Jesús A. Izaguirre (eScience, 2012)

Abstract: Matrices Over Runtime Systems at Exascale. - 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; et al. (SC Companion, 2012)

Poster: Matrices over Runtime Systems at Exascale. - 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; et al. (SC Companion, 2012)

Pipelining the Fast Multipole Method over a Runtime System - Emmanuel Agullo; Bérenger Bramas; Olivier Coulaud; Eric Darve; Matthias Messner; Toru Takahashi 002 (CoRR, 2012)

Optimized M2L Kernels for the Chebyshev Interpolation based Fast Multipole Method - Matthias Messner; Bérenger Bramas; Olivier Coulaud; Eric Darve (CoRR, 2012)

Extension and optimization of the FIND algorithm: Computing Green's and less-than Green's functions. - Song Li; Eric Darve (J. Comput. Phys., 2012)

Fast directional multilevel summation for oscillatory kernels based on Chebyshev interpolation. - Matthias Messner; Martin Schanz; Eric Darve (J. Comput. Phys., 2012)

A fast algorithm for sparse matrix computations related to inversion. - Song Li; W. Wu; Eric Darve (J. Comput. Phys., 2013)

Erratum to "A fast algorithm for sparse matrix computations related to inversion" [J. Comput. Physics 242 (2013) 915-945]. - Song Li; W. Wu; Eric Darve (J. Comput. Phys., 2013)

An O (N log N) Fast Direct Solver for Partial Hierarchically Semi-Separable Matrices - With Application to Radial Basis Function Interpolation. - Sivaram Ambikasaran; Eric Darve (J. Sci. Comput., 2013)

Fourier-Based Fast Multipole Method for the Helmholtz Equation. - Cris Cecka; Eric Darve (SIAM J. Sci. Comput., 2013)

The Inverse Fast Multipole Method. - Sivaram Ambikasaran; Eric Darve (CoRR, 2014)

A Fast Sparse Solver for Finite-Element Matrices. - Amirhossein Aminfar; Eric Darve (CoRR, 2014)

A Kalman filter powered by H2-matrices for quasi-continuous data assimilation problems. - Judith Y. Li; Sivaram Ambikasaran; Eric Darve; Peter K. Kitanidis (CoRR, 2014)

AWE-WQ: Fast-Forwarding Molecular Dynamics Using the Accelerated Weighted Ensemble. - Badi Abdul-Wahid; Haoyun Feng; Dinesh Rajan; Ronan Costaouec; Eric Darve; Douglas Thain; Jesús A. Izaguirre (J. Chem. Inf. Model., 2014)

Task-Based FMM for Multicore Architectures. - Emmanuel Agullo; Bérenger Bramas; Olivier Coulaud; Eric Darve; Matthias Messner; Toru Takahashi 002 (SIAM J. Sci. Comput., 2014)

Cauchy Fast Multipole Method for General Analytic Kernels. - Pierre-David Létourneau; Cris Cecka; Eric Darve (SIAM J. Sci. Comput., 2014)

Fast hierarchical solvers for sparse matrices. - Hadi Pouransari; Pieter Coulier; Eric Darve (CoRR, 2015)

Structured Block Basis Factorization for Scalable Kernel Matrix Evaluation. - Ruoxi Wang; Yingzhou Li; Michael W. Mahoney; Eric Darve (CoRR, 2015)

A New Sparse Matrix Vector Multiplication GPU Algorithm Designed for Finite Element Problems. - Jonathan Wong; Ellen Kuhl; Eric Darve (CoRR, 2015)

Optimizing the Adaptive Fast Multipole Method for Fractal Sets. - Hadi Pouransari; Eric Darve (SIAM J. Sci. Comput., 2015)

Task-based FMM for heterogeneous architectures. - Emmanuel Agullo; Bérenger Bramas; Olivier Coulaud; Eric Darve; Matthias Messner; Toru Takahashi 002 (Concurr. Comput. Pract. Exp., 2016)

A fast block low-rank dense solver with applications to finite-element matrices. - Amirhossein Aminfar; Sivaram Ambikasaran; Eric Darve (J. Comput. Phys., 2016)

Sparse Supernodal Solver Using Block Low-Rank Compression. - Gregoire Pichon; Eric Darve; Mathieu Faverge; Pierre Ramet; Jean Roman (IPDPS Workshops, 2017)

On the numerical rank of radial basis function kernel matrices in high dimension. - Ruoxi Wang; Yingzhou Li; Eric Darve (CoRR, 2017)

Application of the inverse fast multipole method as a preconditioner in a 3D Helmholtz boundary element method. - Toru Takahashi 002; Pieter Coulier; Eric Darve (J. Comput. Phys., 2017)

The Inverse Fast Multipole Method: Using a Fast Approximate Direct Solver as a Preconditioner for Dense Linear Systems. - Pieter Coulier; Hadi Pouransari; Eric Darve (SIAM J. Sci. Comput., 2017)

Fast Hierarchical Solvers For Sparse Matrices Using Extended Sparsification and Low-Rank Approximation. - Hadi Pouransari; Pieter Coulier; Eric Darve (SIAM J. Sci. Comput., 2017)

Calibrating Lévy Process from Observations Based on Neural Networks and Automatic Differentiation with Convergence Proofs. - Kailai Xu; Eric Darve (CoRR, 2018)

Sparse supernodal solver using block low-rank compression: Design, performance and analysis. - Gregoire Pichon; Eric Darve; Mathieu Faverge; Pierre Ramet; Jean Roman (J. Comput. Sci., 2018)

A distributed-memory hierarchical solver for general sparse linear systems. - Chao Chen 008; Hadi Pouransari; Sivasankaran Rajamanickam; Erik G. Boman; Eric Darve (Parallel Comput., 2018)

Low-Rank Factorizations in Data Sparse Hierarchical Algorithms for Preconditioning Symmetric Positive Definite Matrices. - Emmanuel Agullo; Eric Darve; Luc Giraud; Yuval Harness (SIAM J. Matrix Anal. Appl., 2018)

On the Numerical Rank of Radial Basis Function Kernels in High Dimensions. - Ruoxi Wang; Yingzhou Li; Eric Darve (SIAM J. Matrix Anal. Appl., 2018)

Embedding Imputation with Grounded Language Information. - Ziyi Yang; Chenguang Zhu 001; Vin Sachidananda; Eric Darve (ACL (1), 2019)

PBBFMM3D: a Parallel Black-Box Fast Multipole Method for Non-oscillatory Kernels. - Ruoxi Wang; Chao Chen 008; Jonghyun Lee 005; Eric Darve (CoRR, 2019)

Adversarial Numerical Analysis for Inverse Problems. - Kailai Xu; Eric Darve (CoRR, 2019)

Learning Hidden Dynamics using Intelligent Automatic Differentiation. - Kailai Xu; Dongzhuo Li; Eric Darve; Jerry M. Harris (CoRR, 2019)

A robust hierarchical solver for ill-conditioned systems with applications to ice sheet modeling. - Chao Chen 008; Léopold Cambier; Erik G. Boman; Sivasankaran Rajamanickam; Raymond S. Tuminaro; Eric Darve (J. Comput. Phys., 2019)

Block Basis Factorization for Scalable Kernel Evaluation. - Ruoxi Wang; Yingzhou Li; Michael W. Mahoney; Eric Darve (SIAM J. Matrix Anal. Appl., 2019)

Fast Low-Rank Kernel Matrix Factorization Using Skeletonized Interpolation. - Léopold Cambier; Eric Darve (SIAM J. Sci. Comput., 2019)

Preface. - Jonghyun Lee 005; Eric F. Darve; Peter K. Kitanidis; Matthew W. Farthing; Tyler J. Hesser (AAAI Spring Symposium: MLPS, 2020)

Surfzone Topography-informed Deep Learning Techniques to Nearshore Bathymetry with Sparse Measurements. - Yizhou Qian; Hojat Ghorbanidehno; Matthew W. Farthing; Ty Hesser; Peter K. Kitanidis; Eric F. Darve (AAAI Spring Symposium: MLPS, 2020)

Data-Driven Inverse Modeling with Incomplete Observations. - Kailai Xu; Eric Darve (AAAI Spring Symposium: MLPS, 2020)

Regularized Cycle Consistent Generative Adversarial Network for Anomaly Detection. - Ziyi Yang; Iman Soltani Bozchalooi; Eric Darve (ECAI, 2020)

TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising. - Ziyi Yang; Chenguang Zhu 001; Robert Gmyr; Michael Zeng 001; Xuedong Huang 001; Eric Darve (EMNLP (Findings), 2020)

Calibrating Multivariate Lévy Processes with Neural Networks. - Kailai Xu; Eric Darve (MSML, 2020)

TaskTorrent: a Lightweight Distributed Task-Based Runtime System in C++. - Léopold Cambier; Yizhou Qian; Eric Darve (PAW-ATM@SC, 2020)

Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning. - Kailai Xu; Alexandre M. Tartakovsky; Jeff Burghardt; Eric Darve (CoRR, 2020)

Second Order Accurate Hierarchical Approximate Factorization of Sparse SPD Matrices. - Bazyli Klockiewicz; Léopold Cambier; Ryan Humble; Hamdi A. Tchelepi; Eric Darve (CoRR, 2020)

Solving Inverse Problems in Steady State Navier-Stokes Equations using Deep Neural Networks. - Tiffany Fan; Kailai Xu; Jay Pathak; Eric Darve (CoRR, 2020)

Multi-Constitutive Neural Network for Large Deformation Poromechanics Problem. - Qi Zhang; Yilin Chen; Ziyi Yang; Eric Darve (CoRR, 2020)

Distributed Machine Learning for Computational Engineering using MPI. - Kailai Xu; Weiqiang Zhu; Eric Darve (CoRR, 2020)

Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry. - Yizhou Qian; Mojtaba Forghani; Jonghyun Lee 005; Matthew W. Farthing; Tyler J. Hesser; Peter K. Kitanidis; Eric Darve (CoRR, 2020)

ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks. - Kailai Xu; Eric Darve (CoRR, 2020)

Application of deep learning to large scale riverine flow velocity estimation. - Mojtaba Forghani; Yizhou Qian; Jonghyun Lee 005; Matthew W. Farthing; Tyler J. Hesser; Peter K. Kitanidis; Eric F. Darve (CoRR, 2020)

Parallelization of the inverse fast multipole method with an application to boundary element method. - Toru Takahashi 002; Chao Chen 008; Eric Darve (Comput. Phys. Commun., 2020)

Learning constitutive relations from indirect observations using deep neural networks. - Daniel Zhengyu Huang; Kailai Xu; Charbel Farhat; Eric Darve (J. Comput. Phys., 2020)

An Algebraic Sparsified Nested Dissection Algorithm Using Low-Rank Approximations. - Léopold Cambier; Chao Chen 008; Erik G. Boman; Sivasankaran Rajamanickam; Raymond S. Tuminaro; Eric Darve (SIAM J. Matrix Anal. Appl., 2020)

Sparse Hierarchical Preconditioners Using Piecewise Smooth Approximations of Eigenvectors. - Bazyli Klockiewicz; Eric Darve (SIAM J. Sci. Comput., 2020)

Deep Learning-based Fast Solver of the Shallow Water Equations. - Mojtaba Forghani; Yizhou Qian; Jonghyun Lee 005; Matthew W. Farthing; Tyler J. Hesser; Peter K. Kitanidis; Eric Darve (AAAI Spring Symposium: MLPS, 2021)

ADCME MPI: Distributed Machine Learning for Computational Engineering. - Kailai Xu; Eric Darve (AAAI Spring Symposium: MLPS, 2021)

A Simple and Effective Method To Eliminate the Self Language Bias in Multilingual Representations. - Ziyi Yang; Yinfei Yang; Daniel Cer; Eric Darve (EMNLP (1), 2021)

Universal Sentence Representation Learning with Conditional Masked Language Model. - Ziyi Yang; Yinfei Yang; Daniel Cer; Jax Law; Eric Darve (EMNLP (1), 2021)

A task-based distributed parallel sparsified nested dissection algorithm. - Léopold Cambier; Eric Darve (PASC, 2021)

A fast sparse QR factorization for solving linear least squares problems in graphics. - Abeynaya Gnanasekaran; Eric Darve (SIGGRAPH Talks, 2021)

Towards a Scalable Hierarchical High-order CFD Solver. - Zan Xu; Léopold Cambier; Juan J. Alonso; Eric Darve (CoRR, 2021)

Trust Region Method for Coupled Systems of PDE Solvers and Deep Neural Networks. - Kailai Xu; Eric Darve (CoRR, 2021)

A Hybrid Direct-Iterative Method for Solving KKT Linear Systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (CoRR, 2021)

Variational encoder geostatistical analysis (VEGAS) with an application to large scale riverine bathymetry. - Mojtaba Forghani; Yizhou Qian; Jonghyun Lee 005; Matthew W. Farthing; Tyler J. Hesser; Peter K. Kitanidis; Eric F. Darve (CoRR, 2021)

A general approach to seismic inversion with automatic differentiation. - Weiqiang Zhu; Kailai Xu; Eric Darve; Gregory C. Beroza (Comput. Geosci., 2021)

Learning constitutive relations using symmetric positive definite neural networks. - Kailai Xu; Daniel Zhengyu Huang; Eric Darve (J. Comput. Phys., 2021)

PBBFMM3D: A parallel black-box algorithm for kernel matrix-vector multiplication. - Ruoxi Wang; Chao Chen 008; Jonghyun Lee 005; Eric Darve (J. Parallel Distributed Comput., 2021)

Soft Masking for Cost-Constrained Channel Pruning. - Ryan Humble; Maying Shen; Jorge Albericio Latorre; Eric Darve; José M. Álvarez 004 (ECCV (11), 2022)

Scalable low-rank factorization using a task-based runtime system with distributed memory. - Abeynaya Gnanasekaran; Eric Darve (PASC, 2022)

Probabilistic partition of unity networks for high-dimensional regression problems. - Tiffany Fan; Nathaniel Trask; Marta D'Elia; Eric Darve (CoRR, 2022)

Physics constrained learning for data-driven inverse modeling from sparse observations. - Kailai Xu; Eric Darve (J. Comput. Phys., 2022)

Hierarchical Orthogonal Factorization: Sparse Least Squares Problems. - Abeynaya Gnanasekaran; Eric Darve (J. Sci. Comput., 2022)

Linear solvers for power grid optimization problems: A review of GPU-accelerated linear solvers. - Kasia Swirydowicz; Eric Darve; Wesley B. Jones; Jonathan Maack; Shaked Regev; Michael A. Saunders; Stephen J. Thomas; Slaven Peles (Parallel Comput., 2022)

Hierarchical Orthogonal Factorization: Sparse Square Matrices. - Abeynaya Gnanasekaran; Eric Darve (SIAM J. Matrix Anal. Appl., 2022)

Memory-Augmented Generative Adversarial Networks for Anomaly Detection. - Ziyi Yang; Teng Zhang; Iman Soltani Bozchalooi; Eric Darve (IEEE Trans. Neural Networks Learn. Syst., 2022)

Anomaly Detection with Domain Adaptation. - Ziyi Yang; Iman Soltani 001; Eric Darve (CVPR Workshops, 2023)

Coincident Learning for Unsupervised Anomaly Detection. - Ryan Humble; Zhe Zhang 033; Finn H. O'Shea; Eric Darve; Daniel Ratner (CoRR, 2023)

Physics-based parameterized neural ordinary differential equations: prediction of laser ignition in a rocket combustor. - Yizhou Qian; Jonathan Wang; Quentin Douasbin; Eric Darve (CoRR, 2023)

Resilient VAE: Unsupervised Anomaly Detection at the SLAC Linac Coherent Light Source. - Ryan Humble; William Colocho; Finn H. O'Shea; Daniel Ratner; Eric Darve (CoRR, 2023)

Factor Fitting, Rank Allocation, and Partitioning in Multilevel Low Rank Matrices. - Tetiana Parshakova; Trevor Hastie; Eric Darve; Stephen Boyd (CoRR, 2023)

HyKKT: a hybrid direct-iterative method for solving KKT linear systems. - Shaked Regev; Naiyuan Chiang; Eric Darve; Cosmin G. Petra; Michael A. Saunders; Kasia Swirydowicz; Slaven Peles (Optim. Methods Softw., 2023)

Matrix Sketching for Online Analysis of LCLS Imaging Datasets. - John Winnicki; Frédéric Poitevin; Haoyuan Li; Eric Darve (SC Workshops, 2024)

Multi-fidelity Hamiltonian Monte Carlo. - Dhruv V. Patel; Jonghyun Lee 005; Matthew W. Farthing; Peter K. Kitanidis; Eric F. Darve (CoRR, 2024)

Coincident learning for unsupervised anomaly detection of scientific instruments. - Ryan Humble; Zhe Zhang 033; Finn H. O'Shea; Eric Darve; Daniel Ratner (Mach. Learn. Sci. Technol., 2024)

A Numerically Stable Communication-Avoiding ({s} )-Step GMRES Algorithm. - Zan Xu; Juan J. Alonso; Eric Darve (SIAM J. Matrix Anal. Appl., 2024)

Learning reduced-order models for cardiovascular simulations with graph neural networks. - Luca Pegolotti; Martin R. Pfaller; Natalia L. Rubio; Ke Ding; Rita Brugarolas Brufau; Eric Darve; Alison L. Marsden (Comput. Biol. Medicine, 2024)

Hybrid physics-based and data-driven modeling of vascular bifurcation pressure differences. - Natalia L. Rubio; Luca Pegolotti; Martin R. Pfaller; Eric F. Darve; Alison L. Marsden (Comput. Biol. Medicine, 2025)

Transfer Learning for Anomaly Detection in Rotating Machinery Using Data-Driven Key Order Estimation. - Jia Liang; Huanyi Shui; Rajesh Gupta; Devesh Upadhyay; Eric Darve (IEEE Trans Autom. Sci. Eng., 2025)

Physically Interpretable Representation and Controlled Generation for Turbulence Data. - Tiffany Fan; Murray Cutforth; Marta D'Elia; Alexandre Cortiella; Alireza Doostan; Eric Darve (CoRR, 2025)