Maarten V. de Hoop

Orcid: 0000-0002-6333-0379

Affiliations:
  • Rice University, CAAM, Houston, TX, USA
  • Purdue University, West Lafayette, IN, USA


According to our database1, Maarten V. de Hoop authored at least 73 papers between 1996 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Three-Dimensional Random Wave Coupling Along a Boundary and an Associated Inverse Problem.
Multiscale Model. Simul., March, 2024

WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs.
Trans. Mach. Learn. Res., 2024

Resolvent Estimates for Viscoelastic Systems of Extended Maxwell Type and Their Applications.
SIAM J. Math. Anal., 2024

Early-Warning Inverse Source Problem for the Elasto-Gravitational Equations.
SIAM J. Appl. Math., 2024

Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation.
J. Comput. Phys., 2024

Transformers are Universal In-context Learners.
CoRR, 2024

Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems.
CoRR, 2024

Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning.
CoRR, 2024

Mixture of Experts Soften the Curse of Dimensionality in Operator Learning.
CoRR, 2024

Implicit Neural Representations and the Algebra of Complex Wavelets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences.
IEEE Trans. Neural Networks Learn. Syst., July, 2023

Convergence Rates for Learning Linear Operators from Noisy Data.
SIAM/ASA J. Uncertain. Quantification, June, 2023

Conditional Injective Flows for Bayesian Imaging.
IEEE Trans. Computational Imaging, 2023

Harpa: High-Rate Phase Association with Travel Time Neural Fields.
CoRR, 2023

Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders.
CoRR, 2023

A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators.
CoRR, 2023

Fine-tuning Neural-Operator architectures for training and generalization.
CoRR, 2023

Globally injective and bijective neural operators.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conditional score-based diffusion models for Bayesian inference in infinite dimensions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data.
Proceedings of the International Conference on Machine Learning, 2023

2022
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data.
SIAM J. Imaging Sci., December, 2022

Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference.
Dataset, May, 2022

Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting.
IEEE Trans. Geosci. Remote. Sens., 2022

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets.
J. Sci. Comput., 2022

Interconnected Hierarchical Structures for Fast Direct Elliptic Solution.
J. Sci. Comput., 2022

Globally Injective ReLU Networks.
J. Mach. Learn. Res., 2022

Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers.
CoRR, 2022

Deep Invertible Approximation of Topologically Rich Maps between Manifolds.
CoRR, 2022

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks.
CoRR, 2022

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows.
Proceedings of the International Conference on Machine Learning, 2022

2021
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility.
IEEE Trans. Parallel Distributed Syst., 2021

A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation.
Comput. Math. Appl., 2021

Trumpets: Injective flows for inference and inverse problems.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Fast Factorization Update for General Elliptic Equations Under Multiple Coefficient Updates.
SIAM J. Sci. Comput., 2020

Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning.
SIAM J. Matrix Anal. Appl., 2020

A multi-rate iterative coupling scheme for simulating dynamic ruptures and seismic waves generation in the prestressed earth.
J. Comput. Phys., 2020

A weight-adjusted discontinuous Galerkin method for the poroelastic wave equation: Penalty fluxes and micro-heterogeneities.
J. Comput. Phys., 2020

Learning the Geometry of Wave-Based Imaging.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Unique Recovery of Piecewise Analytic Density and Stiffness Tensor from the Elastic-Wave Dirichlet-To-Neumann Map.
SIAM J. Appl. Math., 2019

Deep learning architectures for nonlinear operator functions and nonlinear inverse problems.
CoRR, 2019

Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction.
CoRR, 2019

Learning Schatten-Von Neumann Operators.
CoRR, 2019

Random mesh projectors for inverse problems.
Proceedings of the 7th International Conference on Learning Representations, 2019

2018
Recovery of a Smooth Metric via Wave Field and Coordinate Transformation Reconstruction.
SIAM J. Appl. Math., 2018

An Exact Redatuming Procedure for the Inverse Boundary Value Problem for the Wave Equation.
SIAM J. Appl. Math., 2018

Deep Mesh Projectors for Inverse Problems.
CoRR, 2018

Lipschitz stability for a piecewise linear Schrödinger potential from local Cauchy data.
Asymptot. Anal., 2018

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver.
Proceedings of the International Conference for High Performance Computing, 2018

2017
A Distributed-Memory Randomized Structured Multifrontal Method for Sparse Direct Solutions.
SIAM J. Sci. Comput., 2017

Reconstruction of Lamé Moduli and Density at the Boundary Enabling Directional Elastic Wavefield Decomposition.
SIAM J. Appl. Math., 2017

2016
A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structure.
ACM Trans. Math. Softw., 2016

Parallel Randomized and Matrix-Free Direct Solvers for Large Structured Dense Linear Systems.
SIAM J. Sci. Comput., 2016

Inverse Boundary Value Problem For The Helmholtz Equation: Quantitative Conditional Lipschitz Stability Estimates.
SIAM J. Math. Anal., 2016

On the Construction of Virtual Interior Point Source Travel Time Distances from the Hyperbolic Neumann-to-Dirichlet Map.
SIAM J. Appl. Math., 2016

Inverse Problems with Invariant Multiscale Statistics.
CoRR, 2016

2015
Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space.
SIAM J. Imaging Sci., 2015

An analysis of a multi-level projected steepest descent iteration for nonlinear inverse problems in Banach spaces subject to stability constraints.
Numerische Mathematik, 2015

2014
Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times.
SIAM J. Math. Anal., 2014

Exact and Approximate Expansions with Pure Gaussian Wave Packets.
SIAM J. Math. Anal., 2014

2013
Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures.
SIAM J. Sci. Comput., 2013

Lipschitz Stability of an Inverse Boundary Value Problem for a Schrödinger-Type Equation.
SIAM J. Math. Anal., 2013

Retrieval of a Green's Function with Reflections from Partly Coherent Waves Generated by a Wave Packet Using Cross Correlations.
SIAM J. Appl. Math., 2013

Multiscale Discrete Approximations of Fourier Integral Operators Associated with Canonical Transformations and Caustics.
Multiscale Model. Simul., 2013

2012
Multiscale Discrete Approximation of Fourier Integral Operators.
Multiscale Model. Simul., 2012

2011
Sparse approximation of functions using sums of exponentials and AAK theory.
J. Approx. Theory, 2011

2010
Discrete Almost-Symmetric Wave Packets and Multiscale Geometrical Representation of (Seismic) Waves.
IEEE Trans. Geosci. Remote. Sens., 2010

Acoustic inverse scattering via Helmholtz operator factorization and optimization.
J. Comput. Phys., 2010

2009
Estimating a Green's Function from "Field-Field" Correlations in a Random Medium.
SIAM J. Appl. Math., 2009

2005
Modeling of Seismic Data in the Downward Continuation Approach.
SIAM J. Appl. Math., 2005

2004
Retrofocusing of Acoustic Wave Fields by Iterated Time Reversal.
SIAM J. Appl. Math., 2004

2003
Uniform Asymptotic Expansion of the Square-Root Helmholtz Operator and the One-Way Wave Propagator.
SIAM J. Appl. Math., 2003

2000
Uniform Asymptotic Expansion of the Generalized Bremmer Series.
SIAM J. Appl. Math., 2000

1996
Beyond Effective Medium Theory: Pulse Stabilization for Multimode Wave Propagation in High-Contrast Layered Media.
SIAM J. Appl. Math., 1996


  Loading...