Beyond Effective Medium Theory: Pulse Stabilization for Multimode Wave Propagation in High-Contrast Layered Media. - Pawel Lewicki; Robert Burridge; Maarten V. de Hoop (SIAM J. Appl. Math., 1996)

Uniform Asymptotic Expansion of the Generalized Bremmer Series. - A. K. Gautesen; Maarten V. de Hoop (SIAM J. Appl. Math., 2000)

Uniform Asymptotic Expansion of the Square-Root Helmholtz Operator and the One-Way Wave Propagator. - A. K. Gautesen; Maarten V. de Hoop (SIAM J. Appl. Math., 2003)

Retrofocusing of Acoustic Wave Fields by Iterated Time Reversal. - B. Lars G. Jonsson; Maarten V. de Hoop; Mats Gustafsson; Vaughan H. Weston (SIAM J. Appl. Math., 2004)

Modeling of Seismic Data in the Downward Continuation Approach. - Christiaan C. Stolk; Maarten V. de Hoop (SIAM J. Appl. Math., 2005)

Estimating a Green's Function from "Field-Field" Correlations in a Random Medium. - Maarten V. de Hoop; Knut Solna (SIAM J. Appl. Math., 2009)

Acoustic inverse scattering via Helmholtz operator factorization and optimization. - Shen Wang; Maarten V. de Hoop; Jianlin Xia (J. Comput. Phys., 2010)

Discrete Almost-Symmetric Wave Packets and Multiscale Geometrical Representation of (Seismic) Waves. - Anton A. Duchkov; Fredrik Andersson; Maarten V. de Hoop (IEEE Trans. Geosci. Remote. Sens., 2010)

Sparse approximation of functions using sums of exponentials and AAK theory. - Fredrik Andersson; Marcus Carlsson; Maarten V. de Hoop (J. Approx. Theory, 2011)

Multiscale Discrete Approximation of Fourier Integral Operators. - Fredrik Andersson; Maarten V. de Hoop; Herwig Wendt (Multiscale Model. Simul., 2012)

Multiscale Discrete Approximations of Fourier Integral Operators Associated with Canonical Transformations and Caustics. - Maarten V. de Hoop; Gunther Uhlmann; András Vasy; Herwig Wendt (Multiscale Model. Simul., 2013)

Retrieval of a Green's Function with Reflections from Partly Coherent Waves Generated by a Wave Packet Using Cross Correlations. - Maarten V. de Hoop; Josselin Garnier; Sean F. Holman; Knut Sølna (SIAM J. Appl. Math., 2013)

Lipschitz Stability of an Inverse Boundary Value Problem for a Schrödinger-Type Equation. - Elena Beretta; Maarten V. de Hoop; Lingyun Qiu (SIAM J. Math. Anal., 2013)

Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures. - Shen Wang; Xiaoye S. Li; Jianlin Xia; Yingchong Situ; Maarten V. de Hoop (SIAM J. Sci. Comput., 2013)

Exact and Approximate Expansions with Pure Gaussian Wave Packets. - Maarten V. de Hoop; Karlheinz Gröchenig; José Luis Romero (SIAM J. Math. Anal., 2014)

Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. - Maarten V. de Hoop; Sean F. Holman; Einar Iversen; Matti Lassas; Bjørn Ursin (SIAM J. Math. Anal., 2014)

An analysis of a multi-level projected steepest descent iteration for nonlinear inverse problems in Banach spaces subject to stability constraints. - Maarten V. de Hoop; Lingyun Qiu; Otmar Scherzer (Numerische Mathematik, 2015)

Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space. - Fredrik Andersson; Maarten V. de Hoop; Herwig Wendt (SIAM J. Imaging Sci., 2015)

Inverse Problems with Invariant Multiscale Statistics. - Ivan Dokmanic; Joan Bruna; Stéphane Mallat; Maarten V. de Hoop (CoRR, 2016)

On the Construction of Virtual Interior Point Source Travel Time Distances from the Hyperbolic Neumann-to-Dirichlet Map. - Maarten V. de Hoop; Paul Kepley; Lauri Oksanen (SIAM J. Appl. Math., 2016)

Inverse Boundary Value Problem For The Helmholtz Equation: Quantitative Conditional Lipschitz Stability Estimates. - Elena Beretta; Maarten V. de Hoop; Florian Faucher; Otmar Scherzer (SIAM J. Math. Anal., 2016)

Parallel Randomized and Matrix-Free Direct Solvers for Large Structured Dense Linear Systems. - Xiao Liu; Jianlin Xia; Maarten V. de Hoop (SIAM J. Sci. Comput., 2016)

A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structure. - Shen Wang; Xiaoye S. Li; François-Henry Rouet; Jianlin Xia; Maarten V. de Hoop (ACM Trans. Math. Softw., 2016)

Reconstruction of Lamé Moduli and Density at the Boundary Enabling Directional Elastic Wavefield Decomposition. - Maarten V. de Hoop; Gen Nakamura; Jian Zhai (SIAM J. Appl. Math., 2017)

A Distributed-Memory Randomized Structured Multifrontal Method for Sparse Direct Solutions. - Zi-Xing Xing; Jianlin Xia; Maarten V. de Hoop; Stephen Cauley; Venkataramanan Balakrishnan (SIAM J. Sci. Comput., 2017)

Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (SC, 2018)

Lipschitz stability for a piecewise linear Schrödinger potential from local Cauchy data. - Giovanni Alessandrini; Maarten V. de Hoop; Romina Gaburro; Eva Sincich (Asymptot. Anal., 2018)

Deep Mesh Projectors for Inverse Problems. - Sidharth Gupta; Konik Kothari; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2018)

An Exact Redatuming Procedure for the Inverse Boundary Value Problem for the Wave Equation. - Maarten V. de Hoop; Paul Kepley; Lauri Oksanen (SIAM J. Appl. Math., 2018)

Recovery of a Smooth Metric via Wave Field and Coordinate Transformation Reconstruction. - Maarten V. de Hoop; Paul Kepley; Lauri Oksanen (SIAM J. Appl. Math., 2018)

Random mesh projectors for inverse problems. - Konik Kothari; Sidharth Gupta; Maarten V. de Hoop; Ivan Dokmanic (ICLR (Poster), 2019)

Learning Schatten-Von Neumann Operators. - Puoya Tabaghi; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2019)

Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction. - Hope Jasperson; Chas Bolton; Paul Johnson; Chris Marone; Maarten V. de Hoop (CoRR, 2019)

Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. - Maarten V. de Hoop; Matti Lassas; Christopher A. Wong (CoRR, 2019)

Unique Recovery of Piecewise Analytic Density and Stiffness Tensor from the Elastic-Wave Dirichlet-To-Neumann Map. - Maarten V. de Hoop; Gen Nakamura; Jian Zhai (SIAM J. Appl. Math., 2019)

Learning the Geometry of Wave-Based Imaging. - Konik Kothari; Maarten V. de Hoop; Ivan Dokmanic (NeurIPS, 2020)

A weight-adjusted discontinuous Galerkin method for the poroelastic wave equation: Penalty fluxes and micro-heterogeneities. - Khemraj Shukla; Jesse Chan; Maarten V. de Hoop; Priyank Jaiswal (J. Comput. Phys., 2020)

A multi-rate iterative coupling scheme for simulating dynamic ruptures and seismic waves generation in the prestressed earth. - Ruichao Ye; Kundan Kumar; Maarten V. de Hoop; Michel Campillo (J. Comput. Phys., 2020)

Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning. - Xiao Liu; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (SIAM J. Matrix Anal. Appl., 2020)

Fast Factorization Update for General Elliptic Equations Under Multiple Coefficient Updates. - Xiao Liu; Jianlin Xia; Maarten V. de Hoop (SIAM J. Sci. Comput., 2020)

Trumpets: Injective flows for inference and inverse problems. - Konik Kothari; AmirEhsan Khorashadizadeh; Maarten V. de Hoop; Ivan Dokmanic (UAI, 2021)

A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. - Khemraj Shukla; Jesse Chan; Maarten V. de Hoop (Comput. Math. Appl., 2021)

Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (IEEE Trans. Parallel Distributed Syst., 2021)

Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. - Michael Puthawala; Matti Lassas; Ivan Dokmanic; Maarten V. de Hoop (ICML, 2022)

The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. - Maarten V. de Hoop; Daniel Zhengyu Huang; Elizabeth Qian; Andrew M. Stuart (CoRR, 2022)

Deep Invertible Approximation of Topologically Rich Maps between Manifolds. - Michael Puthawala; Matti Lassas; Ivan Dokmanic; Pekka Pankka; Maarten V. de Hoop (CoRR, 2022)

Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. - Negar Erfanian; Santiago Segarra; Maarten V. de Hoop (CoRR, 2022)

Globally Injective ReLU Networks. - Michael Puthawala; Konik Kothari; Matti Lassas; Ivan Dokmanic; Maarten V. de Hoop (J. Mach. Learn. Res., 2022)

Interconnected Hierarchical Structures for Fast Direct Elliptic Solution. - Xiao Liu; Jianlin Xia; Maarten V. de Hoop; Xiaofeng Ou (J. Sci. Comput., 2022)

A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets. - Jia Shi 004; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (J. Sci. Comput., 2022)

Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting. - Ángel Bueno Rodríguez; Randall Balestriero; Silvio De Angelis; M. Carmen Benítez; Luciano Zuccarello; Richard G. Baraniuk; Jesús M. Ibáñez; Maarten V. de Hoop (IEEE Trans. Geosci. Remote. Sens., 2022)

Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference. - Le Mai Weakley; Jia Shi 004; Scott Michael; Ruipeng Li; Yuanzhe Xi; Yousef Saad; Maarten V. de Hoop (IEEE DataPort, 2022)

Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data. - Sombuddha Bhattacharyya; Maarten V. de Hoop; Vitaly Katsnelson; Gunther Uhlmann (SIAM J. Imaging Sci., 2022)

Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data. - Ali Siahkoohi; Rudy Morel; Maarten V. de Hoop; Erwan Allys; Grégory Sainton; Taichi Kawamura (ICML, 2023)

Conditional score-based diffusion models for Bayesian inference in infinite dimensions. - Lorenzo Baldassari; Ali Siahkoohi; Josselin Garnier; Knut Solna; Maarten V. de Hoop (NeurIPS, 2023)

Globally injective and bijective neural operators. - Takashi Furuya; Michael Puthawala; Matti Lassas; Maarten V. de Hoop (NeurIPS, 2023)

Fine-tuning Neural-Operator architectures for training and generalization. - Jose Antonio Lara Benitez; Takashi Furuya; Florian Faucher; Xavier Tricoche; Maarten V. de Hoop (CoRR, 2023)

A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators. - Anastasis Kratsios; Chong Liu; Matti Lassas; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2023)

Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders. - Ali Siahkoohi; Rudy Morel; Randall Balestriero; Erwan Allys; Grégory Sainton; Taichi Kawamura; Maarten V. de Hoop (CoRR, 2023)

Harpa: High-Rate Phase Association with Travel Time Neural Fields. - Cheng Shi; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2023)

Conditional Injective Flows for Bayesian Imaging. - AmirEhsan Khorashadizadeh; Konik Kothari; Leonardo Salsi; Ali Aghababaei Harandi; Maarten V. de Hoop; Ivan Dokmanic (IEEE Trans. Computational Imaging, 2023)

Convergence Rates for Learning Linear Operators from Noisy Data. - Maarten V. de Hoop; Nikola B. Kovachki; Nicholas H. Nelsen; Andrew M. Stuart (SIAM/ASA J. Uncertain. Quantification, 2023)

Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. - Antonio R. Paiva; Weichang Li; Chris A. Mattmann; Youzuo Lin; Maarten V. de Hoop (IEEE Trans. Neural Networks Learn. Syst., 2023)

Implicit Neural Representations and the Algebra of Complex Wavelets. - T. Mitchell Roddenberry; Vishwanath Saragadam; Maarten V. de Hoop; Richard G. Baraniuk (ICLR, 2024)

Can neural operators always be continuously discretized? - Takashi Furuya; Michael Puthawala; Matti Lassas; Maarten V. de Hoop (NeurIPS, 2024)

Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. - Anastasis Kratsios; Takashi Furuya; Jose Antonio Lara Benitez; Matti Lassas; Maarten V. de Hoop (CoRR, 2024)

Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. - Fabian Schneider; Duc-Lam Duong; Matti Lassas; Maarten V. de Hoop; Tapio Helin (CoRR, 2024)

Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems. - Lorenzo Baldassari; Ali Siahkoohi; Josselin Garnier; Knut Solna; Maarten V. de Hoop (CoRR, 2024)

SeisLM: a Foundation Model for Seismic Waveforms. - Tianlin Liu; Jannes Münchmeyer; Laura Laurenti; Chris Marone; Maarten V. de Hoop; Ivan Dokmanic (CoRR, 2024)

Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation. - Jose Antonio Lara Benitez; Takashi Furuya; Florian Faucher; Anastasis Kratsios; Xavier Tricoche; Maarten V. de Hoop (J. Comput. Phys., 2024)

Early-Warning Inverse Source Problem for the Elasto-Gravitational Equations. - Lorenzo Baldassari; Maarten V. de Hoop; Elisa Francini; Sergio Vessella (SIAM J. Appl. Math., 2024)

Resolvent Estimates for Viscoelastic Systems of Extended Maxwell Type and Their Applications. - Maarten V. de Hoop; Masato Kimura; Ching-Lung Lin; Gen Nakamura (SIAM J. Math. Anal., 2024)

WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. - Tianlin Liu; Jose Antonio Lara Benitez; Florian Faucher; AmirEhsan Khorashadizadeh; Maarten V. de Hoop; Ivan Dokmanic (Trans. Mach. Learn. Res., 2024)

Three-Dimensional Random Wave Coupling Along a Boundary and an Associated Inverse Problem. - Maarten V. de Hoop; Josselin Garnier; Knut Sølna (Multiscale Model. Simul., 2024)

Transformers are Universal In-context Learners. - Takashi Furuya; Maarten V. de Hoop; Gabriel Peyré (ICLR, 2025)

Semialgebraic Neural Networks: From roots to representations. - S. David Mis; Matti Lassas; Maarten V. de Hoop (ICLR, 2025)

Anisotropic Extended Burgers Model, Its Relaxation Tensor, and Properties of the Associated Boltzmann Viscoelastic System. - Maarten V. de Hoop; Masato Kimura; Ching-Lung Lin; Gen Nakamura; Kazumi Tanuma (SIAM J. Appl. Math., 2025)

Neural equilibria for long-term prediction of nonlinear conservation laws. - Jose Antonio Lara Benitez; Junyi Guo; Kareem Hegazy; Ivan Dokmanic; Michael W. Mahoney; Maarten V. de Hoop (CoRR, 2025)

Preconditioned Langevin Dynamics with Score-Based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems. - Lorenzo Baldassari; Josselin Garnier; Knut Solna; Maarten V. de Hoop (CoRR, 2025)