Maarten V. de Hoop

102 papers A* 9A 2Journal 90Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dimension-Free Multimodal Sampling via Preconditioned Annealed Langevin Dynamics. CoRR Lorenzo Baldassari, Josselin Garnier, Knut Solna, Maarten V. de Hoop
2026	J	`jnl`	Flowers: A Warp Drive for Neural PDE Solvers. CoRR Till Muser, Alexandra Spitzer, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
2026	J	`jnl`	Forward and inverse problems for measure flows in Bayes Hilbert spaces. CoRR S. David Mis, Maarten V. de Hoop
2026	J	`jnl`	Hybrid operator learning of wave scattering maps in high-contrast media. CoRR Advait Balaji, Trevor Teolis, S. David Mis, Jose Antonio Lara Benitez, Chao Wang, Maarten V. de Hoop
2026	J	`jnl`	Inverse spectral problem for glassy state relaxation approximated by Prony series. Appl. Math. Lett. Shuli Chen, Maarten V. de Hoop, Youjun Deng, Ching-Lung Lin, Gen Nakamura
2026	J	`jnl`	Neural Operators Can Discover Functional Clusters. CoRR Yicen Li, Jose Antonio Lara Benitez, Ruiyang Hong, Anastasis Kratsios, Paul David McNicholas, Maarten V. de Hoop
2025	J	`jnl`	An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems. Trans. Mach. Learn. Res. Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
2025	J	`jnl`	Anisotropic Extended Burgers Model, Its Relaxation Tensor, and Properties of the Associated Boltzmann Viscoelastic System. SIAM J. Appl. Math. Maarten V. de Hoop, Masato Kimura, Ching-Lung Lin, Gen Nakamura, Kazumi Tanuma
2025	J	`jnl`	Extension and neural operator approximation of the electrical impedance tomography inverse map. CoRR Maarten V. de Hoop, Nikola B. Kovachki, Matti Lassas, Nicholas H. Nelsen
2025	J	`jnl`	Neural equilibria for long-term prediction of nonlinear conservation laws. CoRR Jose Antonio Lara Benitez, Junyi Guo, Kareem Hegazy, Ivan Dokmanic, Michael W. Mahoney, Maarten V. de Hoop
2025	J	`jnl`	Preconditioned Langevin Dynamics with Score-Based Generative Models for Infinite-Dimensional Linear Bayesian Inverse Problems. CoRR Lorenzo Baldassari, Josselin Garnier, Knut Solna, Maarten V. de Hoop
2025	J	`jnl`	Rates and architectures for learning geometrically non-trivial operators. CoRR T. Mitchell Roddenberry, Leo Tzou, Ivan Dokmanic, Maarten V. de Hoop, Richard G. Baraniuk
2025	A*	`conf`	Semialgebraic Neural Networks: From roots to representations. ICLR S. David Mis, Matti Lassas, Maarten V. de Hoop
2025	J	`jnl`	Semialgebraic Neural Networks: From roots to representations. CoRR S. David Mis, Matti Lassas, Maarten V. de Hoop
2025	A*	`conf`	Transformers are Universal In-context Learners. ICLR Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré
2025	J	`jnl`	Transformers through the lens of support-preserving maps between measures. CoRR Takashi Furuya, Maarten V. de Hoop, Matti Lassas
2024	A*	`conf`	Can neural operators always be continuously discretized? NeurIPS Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2024	J	`jnl`	Can neural operators always be continuously discretized? CoRR Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas
2024	J	`jnl`	Early-Warning Inverse Source Problem for the Elasto-Gravitational Equations. SIAM J. Appl. Math. Lorenzo Baldassari, Maarten V. de Hoop, Elisa Francini, Sergio Vessella
2024	A*	`conf`	Implicit Neural Representations and the Algebra of Complex Wavelets. ICLR T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2024	J	`jnl`	Mixture of Experts Soften the Curse of Dimensionality in Operator Learning. CoRR Anastasis Kratsios, Takashi Furuya, Jose Antonio Lara Benitez, Matti Lassas, Maarten V. de Hoop
2024	J	`jnl`	Out-of-distributional risk bounds for neural operators with applications to the Helmholtz equation. J. Comput. Phys. Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Anastasis Kratsios, Xavier Tricoche, Maarten V. de Hoop
2024	J	`jnl`	Reducing the cost of posterior sampling in linear inverse problems via task-dependent score learning. CoRR Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin
2024	J	`jnl`	Resolvent Estimates for Viscoelastic Systems of Extended Maxwell Type and Their Applications. SIAM J. Math. Anal. Maarten V. de Hoop, Masato Kimura, Ching-Lung Lin, Gen Nakamura
2024	J	`jnl`	SeisLM: a Foundation Model for Seismic Waveforms. CoRR Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanic
2024	J	`jnl`	Taming Score-Based Diffusion Priors for Infinite-Dimensional Nonlinear Inverse Problems. CoRR Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
2024	J	`jnl`	Three-Dimensional Random Wave Coupling Along a Boundary and an Associated Inverse Problem. Multiscale Model. Simul. Maarten V. de Hoop, Josselin Garnier, Knut Sølna
2024	J	`jnl`	Transformers are Universal In-context Learners. CoRR Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré
2024	J	`jnl`	WaveBench: Benchmarking Data-driven Solvers for Linear Wave Propagation PDEs. Trans. Mach. Learn. Res. Tianlin Liu, Jose Antonio Lara Benitez, Florian Faucher, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
2023	J	`jnl`	A Transfer Principle: Universal Approximators Between Metric Spaces From Euclidean Universal Approximators. CoRR Anastasis Kratsios, Chong Liu, Matti Lassas, Maarten V. de Hoop, Ivan Dokmanic
2023	J	`jnl`	Conditional Injective Flows for Bayesian Imaging. IEEE Trans. Computational Imaging AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic
2023	A*	`conf`	Conditional score-based diffusion models for Bayesian inference in infinite dimensions. NeurIPS Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
2023	J	`jnl`	Conditional score-based diffusion models for Bayesian inference in infinite dimensions. CoRR Lorenzo Baldassari, Ali Siahkoohi, Josselin Garnier, Knut Solna, Maarten V. de Hoop
2023	J	`jnl`	Convergence Rates for Learning Linear Operators from Noisy Data. SIAM/ASA J. Uncertain. Quantification Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
2023	J	`jnl`	Fine-tuning Neural-Operator architectures for training and generalization. CoRR Jose Antonio Lara Benitez, Takashi Furuya, Florian Faucher, Xavier Tricoche, Maarten V. de Hoop
2023	A*	`conf`	Globally injective and bijective neural operators. NeurIPS Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2023	J	`jnl`	Globally injective and bijective neural operators. CoRR Takashi Furuya, Michael Puthawala, Matti Lassas, Maarten V. de Hoop
2023	J	`jnl`	Guest Editorial Special Issue on Deep Learning for Earth and Planetary Geosciences. IEEE Trans. Neural Networks Learn. Syst. Antonio R. Paiva, Weichang Li, Chris A. Mattmann, Youzuo Lin, Maarten V. de Hoop
2023	J	`jnl`	Harpa: High-Rate Phase Association with Travel Time Neural Fields. CoRR Cheng Shi, Maarten V. de Hoop, Ivan Dokmanic
2023	J	`jnl`	Implicit Neural Representations and the Algebra of Complex Wavelets. CoRR T. Mitchell Roddenberry, Vishwanath Saragadam, Maarten V. de Hoop, Richard G. Baraniuk
2023	J	`jnl`	Martian time-series unraveled: A multi-scale nested approach with factorial variational autoencoders. CoRR Ali Siahkoohi, Rudy Morel, Randall Balestriero, Erwan Allys, Grégory Sainton, Taichi Kawamura, Maarten V. de Hoop
2023	A*	`conf`	Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data. ICML Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
2023	J	`jnl`	Unearthing InSights into Mars: unsupervised source separation with limited data. CoRR Ali Siahkoohi, Rudy Morel, Maarten V. de Hoop, Erwan Allys, Grégory Sainton, Taichi Kawamura
2022	J	`jnl`	A Non-perturbative Approach to Computing Seismic Normal Modes in Rotating Planets. J. Sci. Comput. Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
2022	J	`jnl`	Conditional Injective Flows for Bayesian Imaging. CoRR AmirEhsan Khorashadizadeh, Konik Kothari, Leonardo Salsi, Ali Aghababaei Harandi, Maarten V. de Hoop, Ivan Dokmanic
2022	J	`jnl`	Deep Invertible Approximation of Topologically Rich Maps between Manifolds. CoRR Michael Puthawala, Matti Lassas, Ivan Dokmanic, Pekka Pankka, Maarten V. de Hoop
2022	J	`jnl`	Globally Injective ReLU Networks. J. Mach. Learn. Res. Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2022	J	`jnl`	Interconnected Hierarchical Structures for Fast Direct Elliptic Solution. J. Sci. Comput. Xiao Liu, Jianlin Xia, Maarten V. de Hoop, Xiaofeng Ou
2022	J	`jnl`	Neural multi-event forecasting on spatio-temporal point processes using probabilistically enriched transformers. CoRR Negar Erfanian, Santiago Segarra, Maarten V. de Hoop
2022	J	`jnl`	Recovery of Piecewise Smooth Density and Lamé Parameters from High Frequency Exterior Cauchy Data. SIAM J. Imaging Sci. Sombuddha Bhattacharyya, Maarten V. de Hoop, Vitaly Katsnelson, Gunther Uhlmann
2022	J	`jnl`	Recurrent Scattering Network Detects Metastable Behavior in Polyphonic Seismo-Volcanic Signals for Volcano Eruption Forecasting. IEEE Trans. Geosci. Remote. Sens. Ángel Bueno Rodríguez, Randall Balestriero, Silvio De Angelis, M. Carmen Benítez, Luciano Zuccarello, Richard G. Baraniuk, Jesús M. Ibáñez, Maarten V. de Hoop
2022	J	`jnl`	The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. CoRR Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart
2022	A*	`conf`	Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. ICML Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2021	J	`jnl`	A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. Comput. Math. Appl. Khemraj Shukla, Jesse Chan, Maarten V. de Hoop
2021	J	`jnl`	Convergence Rates for Learning Linear Operators from Noisy Data. CoRR Maarten V. de Hoop, Nikola B. Kovachki, Nicholas H. Nelsen, Andrew M. Stuart
2021	J	`jnl`	Planetary Normal Mode Computation: Parallel Algorithms, Performance, and Reproducibility. IEEE Trans. Parallel Distributed Syst. Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
2021	J	`jnl`	Trumpets: Injective Flows for Inference and Inverse Problems. CoRR Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
2021	A	`conf`	Trumpets: Injective flows for inference and inverse problems. UAI Konik Kothari, AmirEhsan Khorashadizadeh, Maarten V. de Hoop, Ivan Dokmanic
2021	J	`jnl`	Universal Joint Approximation of Manifolds and Densities by Simple Injective Flows. CoRR Michael Puthawala, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2020	J	`jnl`	A high order discontinuous Galerkin method for the symmetric form of the anisotropic viscoelastic wave equation. CoRR Khemraj Shukla, Jesse Chan, Maarten V. de Hoop
2020	J	`jnl`	A multi-rate iterative coupling scheme for simulating dynamic ruptures and seismic waves generation in the prestressed earth. J. Comput. Phys. Ruichao Ye, Kundan Kumar, Maarten V. de Hoop, Michel Campillo
2020	J	`jnl`	A weight-adjusted discontinuous Galerkin method for the poroelastic wave equation: Penalty fluxes and micro-heterogeneities. J. Comput. Phys. Khemraj Shukla, Jesse Chan, Maarten V. de Hoop, Priyank Jaiswal
2020	J	`jnl`	Fast Factorization Update for General Elliptic Equations Under Multiple Coefficient Updates. SIAM J. Sci. Comput. Xiao Liu, Jianlin Xia, Maarten V. de Hoop
2020	J	`jnl`	Globally Injective ReLU Networks. CoRR Michael Puthawala, Konik Kothari, Matti Lassas, Ivan Dokmanic, Maarten V. de Hoop
2020	A*	`conf`	Learning the Geometry of Wave-Based Imaging. NeurIPS Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
2020	J	`jnl`	Learning the geometry of wave-based imaging. CoRR Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
2020	J	`jnl`	Solving the Three-Dimensional High-frequency Helmholtz Equation Using Contour Integration and Polynomial Preconditioning. SIAM J. Matrix Anal. Appl. Xiao Liu, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
2019	J	`jnl`	Deep learning architectures for nonlinear operator functions and nonlinear inverse problems. CoRR Maarten V. de Hoop, Matti Lassas, Christopher A. Wong
2019	J	`jnl`	Learning Schatten-Von Neumann Operators. CoRR Puoya Tabaghi, Maarten V. de Hoop, Ivan Dokmanic
2019	—	`conf`	Random mesh projectors for inverse problems. ICLR (Poster) Konik Kothari, Sidharth Gupta, Maarten V. de Hoop, Ivan Dokmanic
2019	J	`jnl`	Unique Recovery of Piecewise Analytic Density and Stiffness Tensor from the Elastic-Wave Dirichlet-To-Neumann Map. SIAM J. Appl. Math. Maarten V. de Hoop, Gen Nakamura, Jian Zhai
2019	J	`jnl`	Unsupervised classification of acoustic emissions from catalogs and fault time-to-failure prediction. CoRR Hope Jasperson, Chas Bolton, Paul Johnson, Chris Marone, Maarten V. de Hoop
2018	J	`jnl`	An Exact Redatuming Procedure for the Inverse Boundary Value Problem for the Wave Equation. SIAM J. Appl. Math. Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
2018	A	`conf`	Computing planetary interior normal modes with a highly parallel polynomial filtering eigensolver. SC Jia Shi, Ruipeng Li, Yuanzhe Xi, Yousef Saad, Maarten V. de Hoop
2018	J	`jnl`	Deep Mesh Projectors for Inverse Problems. CoRR Sidharth Gupta, Konik Kothari, Maarten V. de Hoop, Ivan Dokmanic
2018	J	`jnl`	Lipschitz stability for a piecewise linear Schrödinger potential from local Cauchy data. Asymptot. Anal. Giovanni Alessandrini, Maarten V. de Hoop, Romina Gaburro, Eva Sincich
2018	J	`jnl`	Recovery of a Smooth Metric via Wave Field and Coordinate Transformation Reconstruction. SIAM J. Appl. Math. Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
2017	J	`jnl`	A Distributed-Memory Randomized Structured Multifrontal Method for Sparse Direct Solutions. SIAM J. Sci. Comput. Zi-Xing Xing, Jianlin Xia, Maarten V. de Hoop, Stephen Cauley, Venkataramanan Balakrishnan
2017	J	`jnl`	Reconstruction of Lamé Moduli and Density at the Boundary Enabling Directional Elastic Wavefield Decomposition. SIAM J. Appl. Math. Maarten V. de Hoop, Gen Nakamura, Jian Zhai
2016	J	`jnl`	A Parallel Geometric Multifrontal Solver Using Hierarchically Semiseparable Structure. ACM Trans. Math. Softw. Shen Wang, Xiaoye S. Li, François-Henry Rouet, Jianlin Xia, Maarten V. de Hoop
2016	J	`jnl`	Inverse Boundary Value Problem For The Helmholtz Equation: Quantitative Conditional Lipschitz Stability Estimates. SIAM J. Math. Anal. Elena Beretta, Maarten V. de Hoop, Florian Faucher, Otmar Scherzer
2016	J	`jnl`	Inverse Problems with Invariant Multiscale Statistics. CoRR Ivan Dokmanic, Joan Bruna, Stéphane Mallat, Maarten V. de Hoop
2016	J	`jnl`	On the Construction of Virtual Interior Point Source Travel Time Distances from the Hyperbolic Neumann-to-Dirichlet Map. SIAM J. Appl. Math. Maarten V. de Hoop, Paul Kepley, Lauri Oksanen
2016	J	`jnl`	Parallel Randomized and Matrix-Free Direct Solvers for Large Structured Dense Linear Systems. SIAM J. Sci. Comput. Xiao Liu, Jianlin Xia, Maarten V. de Hoop
2015	J	`jnl`	An analysis of a multi-level projected steepest descent iteration for nonlinear inverse problems in Banach spaces subject to stability constraints. Numerische Mathematik Maarten V. de Hoop, Lingyun Qiu, Otmar Scherzer
2015	J	`jnl`	Multiscale Reverse-Time-Migration-Type Imaging Using the Dyadic Parabolic Decomposition of Phase Space. SIAM J. Imaging Sci. Fredrik Andersson, Maarten V. de Hoop, Herwig Wendt
2014	J	`jnl`	Exact and Approximate Expansions with Pure Gaussian Wave Packets. SIAM J. Math. Anal. Maarten V. de Hoop, Karlheinz Gröchenig, José Luis Romero
2014	J	`jnl`	Reconstruction of a Conformally Euclidean Metric from Local Boundary Diffraction Travel Times. SIAM J. Math. Anal. Maarten V. de Hoop, Sean F. Holman, Einar Iversen, Matti Lassas, Bjørn Ursin
2013	J	`jnl`	Efficient Scalable Algorithms for Solving Dense Linear Systems with Hierarchically Semiseparable Structures. SIAM J. Sci. Comput. Shen Wang, Xiaoye S. Li, Jianlin Xia, Yingchong Situ, Maarten V. de Hoop
2013	J	`jnl`	Lipschitz Stability of an Inverse Boundary Value Problem for a Schrödinger-Type Equation. SIAM J. Math. Anal. Elena Beretta, Maarten V. de Hoop, Lingyun Qiu
2013	J	`jnl`	Multiscale Discrete Approximations of Fourier Integral Operators Associated with Canonical Transformations and Caustics. Multiscale Model. Simul. Maarten V. de Hoop, Gunther Uhlmann, András Vasy, Herwig Wendt
2013	J	`jnl`	Retrieval of a Green's Function with Reflections from Partly Coherent Waves Generated by a Wave Packet Using Cross Correlations. SIAM J. Appl. Math. Maarten V. de Hoop, Josselin Garnier, Sean F. Holman, Knut Sølna
2012	J	`jnl`	Multiscale Discrete Approximation of Fourier Integral Operators. Multiscale Model. Simul. Fredrik Andersson, Maarten V. de Hoop, Herwig Wendt
2011	J	`jnl`	Sparse approximation of functions using sums of exponentials and AAK theory. J. Approx. Theory Fredrik Andersson, Marcus Carlsson, Maarten V. de Hoop
2010	J	`jnl`	Acoustic inverse scattering via Helmholtz operator factorization and optimization. J. Comput. Phys. Shen Wang, Maarten V. de Hoop, Jianlin Xia
2010	J	`jnl`	Discrete Almost-Symmetric Wave Packets and Multiscale Geometrical Representation of (Seismic) Waves. IEEE Trans. Geosci. Remote. Sens. Anton A. Duchkov, Fredrik Andersson, Maarten V. de Hoop
2009	J	`jnl`	Estimating a Green's Function from "Field-Field" Correlations in a Random Medium. SIAM J. Appl. Math. Maarten V. de Hoop, Knut Solna
2005	J	`jnl`	Modeling of Seismic Data in the Downward Continuation Approach. SIAM J. Appl. Math. Christiaan C. Stolk, Maarten V. de Hoop
2004	J	`jnl`	Retrofocusing of Acoustic Wave Fields by Iterated Time Reversal. SIAM J. Appl. Math. B. Lars G. Jonsson, Maarten V. de Hoop, Mats Gustafsson, Vaughan H. Weston
2003	J	`jnl`	Uniform Asymptotic Expansion of the Square-Root Helmholtz Operator and the One-Way Wave Propagator. SIAM J. Appl. Math. A. K. Gautesen, Maarten V. de Hoop
2000	J	`jnl`	Uniform Asymptotic Expansion of the Generalized Bremmer Series. SIAM J. Appl. Math. A. K. Gautesen, Maarten V. de Hoop
1996	J	`jnl`	Beyond Effective Medium Theory: Pulse Stabilization for Multimode Wave Propagation in High-Contrast Layered Media. SIAM J. Appl. Math. Pawel Lewicki, Robert Burridge, Maarten V. de Hoop