Maarten V. de Hoop

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 63

Top Topics

Euclidean Metric

Bayesian Inference

Inverse Problems

Top Venues

SIAM J. Appl. Math.

J. Comput. Phys.

SIAM J. Sci. Comput.

Publications

Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR (2024)
Maarten V. de Hoop, Josselin Garnier, Knut Sølna
Three-Dimensional Random Wave Coupling Along a Boundary and an Associated Inverse Problem. Multiscale Model. Simul. 22 (1) (2024)
Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. 2024 (2024)
Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems. CoRR (2024)
Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop
Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR (2024)
T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR (2024)
Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop
Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation. J. Comput. Phys. 513 (2024)
Lorenzo Baldassari, Maarten V. de Hoop, Elisa Francini, Sergio Vessella
Early-Warning Inverse Source Problem for the Elasto-Gravitational Equations. SIAM J. Appl. Math. 84 (3) (2024)
Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
Unearthing InSights into Mars: unsupervised source separation with limited data. CoRR (2023)
Cheng Shi, Maarten V. de Hoop, Ivan Dokmanic
Harpa: High-Rate Phase Association with Travel Time Neural Fields. CoRR (2023)
Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Globally injective and bijective neural operators. NeurIPS (2023)
Anastasis Kratsios, Chong Liu, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators. CoRR (2023)
AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic
Conditional Injective Flows for Bayesian Imaging. IEEE Trans. Computational Imaging 9 (2023)
Antonio R. Paiva, Weichang Li, Chris A. Mattmann, Youzuo Lin, Maarten V. de Hoop
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. IEEE Trans. Neural Networks Learn. Syst. 34 (7) (2023)
Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Conditional score-based diffusion models for Bayesian inference in infinite dimensions. CoRR (2023)
Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
Convergence Rates for Learning Linear Operators from Noisy Data. SIAM/ASA J. Uncertain. Quantification 11 (2) (2023)
T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR (2023)
Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data. ICML (2023)
Ali Siahkoohi, Rudy Morel, Randall Balestriero, Erwan Allys, Grégory Sainton, Taichi Kawamura, Maarten V. de Hoop
Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders. CoRR (2023)
Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
Globally injective and bijective neural operators. CoRR (2023)
Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
Conditional score-based diffusion models for Bayesian inference in infinite dimensions. NeurIPS (2023)
Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop
Fine-tuning Neural-Operator architectures for training and generalization. CoRR (2023)
Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets. J. Sci. Comput. 91 (2) (2022)
Negar Erfanian, Santiago Segarra, Maarten V. de Hoop
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR (2022)
AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic
Conditional Injective Flows for Bayesian Imaging. CoRR (2022)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML (2022)
Ángel Bueno Rodríguez, Randall Balestriero, Silvio De Angelis, M. Carmen Benítez, Luciano Zuccarello, Richard G. Baraniuk, Jesús M. Ibáñez, Maarten V. de Hoop
Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop
Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR (2022)
Xiao Liu, Jianlin Xia, Maarten V. de Hoop, Xiaofeng Ou
Interconnected Hierarchical Structures for Fast Direct Elliptic Solution. J. Sci. Comput. 91 (1) (2022)
Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart
The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. CoRR (2022)
Sombuddha Bhattacharyya, Maarten V. de Hoop, Vitaly Katsnelson, Gunther Uhlmann
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data. SIAM J. Imaging Sci. 15 (4) (2022)
Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Globally Injective ReLU Networks. J. Mach. Learn. Res. 23 (2022)
Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
Trumpets: Injective Flows for Inference and Inverse Problems. CoRR (2021)
Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility. IEEE Trans. Parallel Distributed Syst. 32 (11) (2021)
Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
Trumpets: Injective flows for inference and inverse problems. UAI (2021)
Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR (2021)
Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
Convergence Rates for Learning Linear Operators from Noisy Data. CoRR (2021)
Khemraj Shukla, Jesse Chan, Maarten V. de Hoop
A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. Comput. Math. Appl. 99 (2021)
Ruichao Ye, Kundan Kumar, Maarten V. de Hoop, Michel Campillo
A multi-rate iterative coupling scheme for simulating dynamic ruptures and seismic waves generation in the prestressed earth. J. Comput. Phys. 405 (2020)
Xiao Liu, Jianlin Xia, Maarten V. de Hoop
Fast Factorization Update for General Elliptic Equations Under Multiple Coefficient Updates. SIAM J. Sci. Comput. 42 (2) (2020)
Xiao Liu, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning. SIAM J. Matrix Anal. Appl. 41 (1) (2020)
Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
Globally Injective ReLU Networks. CoRR (2020)
Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
Learning the Geometry of Wave-Based Imaging. NeurIPS (2020)
Khemraj Shukla, Jesse Chan, Maarten V. de Hoop
A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. CoRR (2020)
Khemraj Shukla, Jesse Chan, Maarten V. de Hoop, Priyank Jaiswal
A weight-adjusted discontinuous Galerkin method for the poroelastic wave equation: Penalty fluxes and micro-heterogeneities. J. Comput. Phys. 403 (2020)
Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
Learning the geometry of wave-based imaging. CoRR (2020)
Maarten V. de Hoop, Matti Lassas, Christopher A. Wong
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR (2019)
Hope Jasperson, Chas Bolton, Paul Johnson, Chris Marone, Maarten V. de Hoop
Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction. CoRR (2019)
Konik Kothari, Sidharth Gupta, Maarten V. de Hoop, Ivan Dokmanic
Random mesh projectors for inverse problems. ICLR (Poster) (2019)
Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic
Learning Schatten-Von Neumann Operators. CoRR (2019)
Maarten V. de Hoop, Gen Nakamura, Jian Zhai
Unique Recovery of Piecewise Analytic Density and Stiffness Tensor from the Elastic-Wave Dirichlet-To-Neumann Map. SIAM J. Appl. Math. 79 (6) (2019)
Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
Recovery of a Smooth Metric via Wave Field and Coordinate Transformation Reconstruction. SIAM J. Appl. Math. 78 (4) (2018)
Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver. SC (2018)
Giovanni Alessandrini, Maarten V. de Hoop, Romina Gaburro, Eva Sincich
Lipschitz stability for a piecewise linear Schrödinger potential from local Cauchy data. Asymptot. Anal. 108 (3) (2018)
Sidharth Gupta, Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
Deep Mesh Projectors for Inverse Problems. CoRR (2018)
Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
An Exact Redatuming Procedure for the Inverse Boundary Value Problem for the Wave Equation. SIAM J. Appl. Math. 78 (1) (2018)
Maarten V. de Hoop, Gen Nakamura, Jian Zhai
Reconstruction of Lamé Moduli and Density at the Boundary Enabling Directional Elastic Wavefield Decomposition. SIAM J. Appl. Math. 77 (2) (2017)
Zi-Xing Xing, Jianlin Xia, Maarten V. de Hoop, Stephen Cauley, Venkataramanan Balakrishnan
A Distributed-Memory Randomized Structured Multifrontal Method for Sparse Direct Solutions. SIAM J. Sci. Comput. 39 (4) (2017)
Elena Beretta, Maarten V. de Hoop, Florian Faucher, Otmar Scherzer
Inverse Boundary Value Problem For The Helmholtz Equation: Quantitative Conditional Lipschitz Stability Estimates. SIAM J. Math. Anal. 48 (6) (2016)
Shen Wang, Xiaoye S. Li, François-Henry Rouet, Jianlin Xia, Maarten V. de Hoop
A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structure. ACM Trans. Math. Softw. 42 (3) (2016)
Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
On the Construction of Virtual Interior Point Source Travel Time Distances from the Hyperbolic Neumann-to-Dirichlet Map. SIAM J. Appl. Math. 76 (2) (2016)
Ivan Dokmanic, Joan Bruna, Stéphane Mallat, Maarten V. de Hoop
Inverse Problems with Invariant Multiscale Statistics. CoRR (2016)
Xiao Liu, Jianlin Xia, Maarten V. de Hoop
Parallel Randomized and Matrix-Free Direct Solvers for Large Structured Dense Linear Systems. SIAM J. Sci. Comput. 38 (5) (2016)
Fredrik Andersson, Maarten V. de Hoop, Herwig Wendt
Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space. SIAM J. Imaging Sci. 8 (4) (2015)
Maarten V. de Hoop, Lingyun Qiu, Otmar Scherzer
An analysis of a multi-level projected steepest descent iteration for nonlinear inverse problems in Banach spaces subject to stability constraints. Numerische Mathematik 129 (1) (2015)
Maarten V. de Hoop, Sean F. Holman, Einar Iversen, Matti Lassas, Bjørn Ursin
Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. SIAM J. Math. Anal. 46 (6) (2014)
Maarten V. de Hoop, Karlheinz Gröchenig, José Luis Romero
Exact and Approximate Expansions with Pure Gaussian Wave Packets. SIAM J. Math. Anal. 46 (3) (2014)
Shen Wang, Xiaoye S. Li, Jianlin Xia, Yingchong Situ, Maarten V. de Hoop
Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures. SIAM J. Sci. Comput. 35 (6) (2013)
Maarten V. de Hoop, Josselin Garnier, Sean F. Holman, Knut Sølna
Retrieval of a Green's Function with Reflections from Partly Coherent Waves Generated by a Wave Packet Using Cross Correlations. SIAM J. Appl. Math. 73 (1) (2013)
Maarten V. de Hoop, Gunther Uhlmann, András Vasy, Herwig Wendt
Multiscale Discrete Approximations of Fourier Integral Operators Associated with Canonical Transformations and Caustics. Multiscale Model. Simul. 11 (2) (2013)
Elena Beretta, Maarten V. de Hoop, Lingyun Qiu
Lipschitz Stability of an Inverse Boundary Value Problem for a Schrödinger-Type Equation. SIAM J. Math. Anal. 45 (2) (2013)
Fredrik Andersson, Maarten V. de Hoop, Herwig Wendt
Multiscale Discrete Approximation of Fourier Integral Operators. Multiscale Model. Simul. 10 (1) (2012)
Fredrik Andersson, Marcus Carlsson, Maarten V. de Hoop
Sparse approximation of functions using sums of exponentials and AAK theory. J. Approx. Theory 163 (2) (2011)
Anton A. Duchkov, Fredrik Andersson, Maarten V. de Hoop
Discrete Almost-Symmetric Wave Packets and Multiscale Geometrical Representation of (Seismic) Waves. IEEE Trans. Geosci. Remote. Sens. 48 (9) (2010)
Shen Wang, Maarten V. de Hoop, Jianlin Xia
Acoustic inverse scattering via Helmholtz operator factorization and optimization. J. Comput. Phys. 229 (22) (2010)
Maarten V. de Hoop, Knut Solna
Estimating a Green's Function from "Field-Field" Correlations in a Random Medium. SIAM J. Appl. Math. 69 (4) (2009)
Christiaan C. Stolk, Maarten V. de Hoop
Modeling of Seismic Data in the Downward Continuation Approach. SIAM J. Appl. Math. 65 (4) (2005)
B. Lars G. Jonsson, Maarten V. de Hoop, Mats Gustafsson, Vaughan H. Weston
Retrofocusing of Acoustic Wave Fields by Iterated Time Reversal. SIAM J. Appl. Math. 64 (6) (2004)
A. K. Gautesen, Maarten V. de Hoop
Uniform Asymptotic Expansion of the Square-Root Helmholtz Operator and the One-Way Wave Propagator. SIAM J. Appl. Math. 63 (3) (2003)
A. K. Gautesen, Maarten V. de Hoop
Uniform Asymptotic Expansion of the Generalized Bremmer Series. SIAM J. Appl. Math. 60 (4) (2000)
Pawel Lewicki, Robert Burridge, Maarten V. de Hoop
Beyond Effective Medium Theory: Pulse Stabilization for Multimode Wave Propagation in High-Contrast Layered Media. SIAM J. Appl. Math. 56 (1) (1996)