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Maarten V. de Hoop
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- affiliation: Rice University, CAAM, Houston, TX, USA
- affiliation: Purdue University, West Lafayette, IN, USA
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2020 – today
- 2024
- [j47]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: 113168 (2024) - [j46]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): 39-65 (2024) - [j45]Lorenzo Baldassari
Early-Warning Inverse Source Problem for the Elasto-Gravitational Equations. SIAM J. Appl. Math. 84(3): 831-855 (2024) - [j44]Maarten V. de Hoop, Masato Kimura, Ching-Lung Lin, Gen Nakamura:
Resolvent Estimates for Viscoelastic Systems of Extended Maxwell Type and Their Applications. SIAM J. Math. Anal. 56(5): 5782-5806 (2024) - [j43]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) - [c9]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR 2024 - [i27]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 abs/2404.09101 (2024) - [i26]Fabian Schneider, Duc-Lam Duong
Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR abs/2405.15643 (2024) - [i25]Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop:
Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems. CoRR abs/2405.15676 (2024) - [i24]Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré:
Transformers are Universal In-context Learners. CoRR abs/2408.01367 (2024) - 2023
- [j42]Maarten V. de Hoop, Nikola B. Kovachki
Convergence Rates for Learning Linear Operators from Noisy Data. SIAM/ASA J. Uncertain. Quantification 11(2): 480-513 (2023) - [j41]AmirEhsan Khorashadizadeh
Conditional Injective Flows for Bayesian Imaging. IEEE Trans. Computational Imaging 9: 224-237 (2023) - [j40]Antonio R. Paiva
Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. IEEE Trans. Neural Networks Learn. Syst. 34(7): 3242-3244 (2023) - [c8]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: 31754-31772 - [c7]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 - [c6]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. NeurIPS 2023 - [i23]Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop:
Fine-tuning Neural-Operator architectures for training and generalization. CoRR abs/2301.11509 (2023) - [i22]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 abs/2301.11981 (2023) - [i21]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 abs/2304.12231 (2023) - [i20]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 abs/2305.16189 (2023) - [i19]Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop:
Conditional score-based diffusion models for Bayesian inference in infinite dimensions. CoRR abs/2305.19147 (2023) - [i18]Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop:
Globally injective and bijective neural operators. CoRR abs/2306.03982 (2023) - [i17]Cheng Shi, Maarten V. de Hoop, Ivan Dokmanic:
Harpa: High-Rate Phase Association with Travel Time Neural Fields. CoRR abs/2307.07572 (2023) - [i16]T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk:
Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR abs/2310.00545 (2023) - 2022
- [j39]Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Globally Injective ReLU Networks. J. Mach. Learn. Res. 23: 105:1-105:55 (2022) - [j38]Xiao Liu, Jianlin Xia, Maarten V. de Hoop, Xiaofeng Ou:
Interconnected Hierarchical Structures for Fast Direct Elliptic Solution. J. Sci. Comput. 91(1): 15 (2022) - [j37]Jia Shi
A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets. J. Sci. Comput. 91(2): 67 (2022) - [j36]Sombuddha Bhattacharyya
Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data. SIAM J. Imaging Sci. 15(4): 1910-1943 (2022) - [j35]Ángel Bueno Rodríguez
Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [c5]Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML 2022: 17959-17983 - [d1]Le Mai Weakley, Jia Shi, Scott Michael, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop:
Mars and Moon models used for the reproducibility challenge of the Student Cluster Competition at the SC19 conference. IEEE DataPort, 2022 - [i15]Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart:
The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. CoRR abs/2203.13181 (2022) - [i14]AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic
Conditional Injective Flows for Bayesian Imaging. CoRR abs/2204.07664 (2022) - [i13]Michael Puthawala, Matti Lassas, Ivan Dokmanic
Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR abs/2210.00577 (2022) - [i12]Negar Erfanian, Santiago Segarra
Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR abs/2211.02922 (2022) - 2021
- [j34]Khemraj Shukla
A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. Comput. Math. Appl. 99: 113-132 (2021) - [j33]Jia Shi
Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility. IEEE Trans. Parallel Distributed Syst. 32(11): 2609-2622 (2021) - [c4]Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic:
Trumpets: Injective flows for inference and inverse problems. UAI 2021: 1269-1278 - [i11]Konik Kothari, AmirEhsan Khorashadizadeh
Trumpets: Injective Flows for Inference and Inverse Problems. CoRR abs/2102.10461 (2021) - [i10]Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen
Convergence Rates for Learning Linear Operators from Noisy Data. CoRR abs/2108.12515 (2021) - [i9]Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop:
Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR abs/2110.04227 (2021) - 2020
- [j32]Khemraj Shukla
A weight-adjusted discontinuous Galerkin method for the poroelastic wave equation: Penalty fluxes and micro-heterogeneities. J. Comput. Phys. 403 (2020) - [j31]Ruichao Ye
A multi-rate iterative coupling scheme for simulating dynamic ruptures and seismic waves generation in the prestressed earth. J. Comput. Phys. 405: 109098 (2020) - [j30]Xiao Liu, Yuanzhe Xi
Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning. SIAM J. Matrix Anal. Appl. 41(1): 58-82 (2020) - [j29]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): A1174-A1199 (2020) - [c3]Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic:
Learning the Geometry of Wave-Based Imaging. NeurIPS 2020 - [i8]Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic:
Learning the geometry of wave-based imaging. CoRR abs/2006.05854 (2020) - [i7]Michael Puthawala
Globally Injective ReLU Networks. CoRR abs/2006.08464 (2020) - [i6]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 abs/2011.01529 (2020)
2010 – 2019
- 2019
- [j28]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): 2359-2384 (2019) - [c2]Konik Kothari, Sidharth Gupta, Maarten V. de Hoop, Ivan Dokmanic:
Random mesh projectors for inverse problems. ICLR (Poster) 2019 - [i5]Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic:
Learning Schatten-Von Neumann Operators. CoRR abs/1901.10076 (2019) - [i4]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 abs/1912.06087 (2019) - [i3]Maarten V. de Hoop, Matti Lassas, Christopher A. Wong:
Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR abs/1912.11090 (2019) - 2018
- [j27]Giovanni Alessandrini, Maarten V. de Hoop, Romina Gaburro
Lipschitz stability for a piecewise linear Schrödinger potential from local Cauchy data. Asymptot. Anal. 108(3): 115-149 (2018) - [j26]Maarten V. de Hoop, Paul Kepley
An Exact Redatuming Procedure for the Inverse Boundary Value Problem for the Wave Equation. SIAM J. Appl. Math. 78(1): 171-192 (2018) - [j25]Maarten V. de Hoop, Paul Kepley
Recovery of a Smooth Metric via Wave Field and Coordinate Transformation Reconstruction. SIAM J. Appl. Math. 78(4): 1931-1953 (2018) - [c1]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: 71:1-71:13 - [i2]Sidharth Gupta, Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic:
Deep Mesh Projectors for Inverse Problems. CoRR abs/1805.11718 (2018) - 2017
- [j24]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): 520-536 (2017) - [j23]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) - 2016
- [j22]Maarten V. de Hoop, Paul Kepley
On the Construction of Virtual Interior Point Source Travel Time Distances from the Hyperbolic Neumann-to-Dirichlet Map. SIAM J. Appl. Math. 76(2): 805-825 (2016) - [j21]Elena Beretta
Inverse Boundary Value Problem For The Helmholtz Equation: Quantitative Conditional Lipschitz Stability Estimates. SIAM J. Math. Anal. 48(6): 3962-3983 (2016) - [j20]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) - [j19]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): 21:1-21:21 (2016) - [i1]Ivan Dokmanic, Joan Bruna, Stéphane Mallat, Maarten V. de Hoop:
Inverse Problems with Invariant Multiscale Statistics. CoRR abs/1609.05502 (2016) - 2015
- [j18]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): 127-148 (2015) - [j17]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): 2383-2411 (2015) - 2014
- [j16]Maarten V. de Hoop, Karlheinz Gröchenig, José Luis Romero
Exact and Approximate Expansions with Pure Gaussian Wave Packets. SIAM J. Math. Anal. 46(3): 2229-2253 (2014) - [j15]Maarten V. de Hoop, Sean F. Holman
Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. SIAM J. Math. Anal. 46(6): 3705-3726 (2014) - 2013
- [j14]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): 566-585 (2013) - [j13]Maarten V. de Hoop, Josselin Garnier, Sean F. Holman
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): 493-522 (2013) - [j12]Elena Beretta
Lipschitz Stability of an Inverse Boundary Value Problem for a Schrödinger-Type Equation. SIAM J. Math. Anal. 45(2): 679-699 (2013) - [j11]Shen Wang, Xiaoye S. Li, Jianlin Xia
Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures. SIAM J. Sci. Comput. 35(6) (2013) - 2012
- [j10]Fredrik Andersson, Maarten V. de Hoop, Herwig Wendt
Multiscale Discrete Approximation of Fourier Integral Operators. Multiscale Model. Simul. 10(1): 111-145 (2012) - 2011
- [j9]Fredrik Andersson, Marcus Carlsson
Sparse approximation of functions using sums of exponentials and AAK theory. J. Approx. Theory 163(2): 213-248 (2011) - 2010
- [j8]Shen Wang, Maarten V. de Hoop, Jianlin Xia:
Acoustic inverse scattering via Helmholtz operator factorization and optimization. J. Comput. Phys. 229(22): 8445-8462 (2010) - [j7]Anton A. Duchkov
Discrete Almost-Symmetric Wave Packets and Multiscale Geometrical Representation of (Seismic) Waves. IEEE Trans. Geosci. Remote. Sens. 48(9): 3408-3423 (2010)
2000 – 2009
- 2009
- [j6]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): 909-932 (2009) - 2005
- [j5]Christiaan C. Stolk
Modeling of Seismic Data in the Downward Continuation Approach. SIAM J. Appl. Math. 65(4): 1388-1406 (2005) - 2004
- [j4]B. Lars G. Jonsson
Retrofocusing of Acoustic Wave Fields by Iterated Time Reversal. SIAM J. Appl. Math. 64(6): 1954-1986 (2004) - 2003
- [j3]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): 777-800 (2003) - 2000
- [j2]A. K. Gautesen, Maarten V. de Hoop:
Uniform Asymptotic Expansion of the Generalized Bremmer Series. SIAM J. Appl. Math. 60(4): 1302-1329 (2000)
1990 – 1999
- 1996
- [j1]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): 256-276 (1996)
Coauthor Index
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