de Hoop, Maarten v.

12 publications

TMLR 2025 An Unconditional Representation of the Conditional Score in Infinite Dimensional Linear Inverse Problems Fabian Schneider, Duc-Lam Duong, Matti Lassas, Maarten V. de Hoop, Tapio Helin

NeurIPS 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

ICLR 2025 Semialgebraic Neural Networks: From Roots to Representations S David Mis, Matti Lassas, Maarten V. de Hoop

ICLR 2025 Transformers Are Universal In-Context Learners Takashi Furuya, Maarten V. de Hoop, Gabriel Peyré

NeurIPS 2024 Can Neural Operators Always Be Continuously Discretized? Takashi Furuya, Michael Puthawala, Maarten V. de Hoop, Matti Lassas

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

NeurIPSW 2024 SeisLM: A Foundation Model for Seismic Waveforms Tianlin Liu, Jannes Münchmeyer, Laura Laurenti, Chris Marone, Maarten V. de Hoop, Ivan Dokmanić

TMLR 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 Dokmanić

NeurIPS 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

ICML 2023 Unearthing InSights into Mars: Unsupervised Source Separation with Limited Data Ali Siahkoohi, Rudy Morel, Maarten V. De Hoop, Erwan Allys, Gregory Sainton, Taichi Kawamura

ICLR 2019 Random Mesh Projectors for Inverse Problems Konik Kothari, Sidharth Gupta, Maarten v. de Hoop, Ivan Dokmanic