Scholar
Maarten de Hoop
Google Scholar ID: El9s8sIAAAAJ
Rice University
Citations & Impact
Citations
4,802
H-index
28
i10-index
91
Publications
20
Co-authors
22
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- ‘Transformers are universal in-context learners’, ICLR (2025), with T. Furuya and G. Peyré
- ‘Semialgebraic Neural Networks: From roots to representations’, ICLR (2025), with D. Mis and M. Lassas
- ‘Can neural operators always be continuously discretized?’, NeurIPS (2024), with T. Furuya, M. Puthawala and M. Lassas
- ‘Clustering earthquake signals and background noises in continuous seismic data with unsupervised deep learning’, Nature Comm. (2020), with L. Seydoux et al.
- ‘Machine learning for data-driven discovery in solid Earth geoscience’, Science (2019), with K. Bergen et al.
Research Experience
- Research in microlocal analysis and industrial seismic imaging
- Analysis of inverse problems in geophysics
- Model analysis in theoretical global seismology
- Model analysis and inverse problems in planetary seismology and MHD
- Application of deep learning to data-driven discovery in solid Earth geoscience
Background
- Research interests include scattering, imaging, and analysis of inverse problems
- Mathematics of deep learning and data-driven discovery
- Multi-scale, (nonlinear) multi-physics, and relativistic elasticity
- Acoustic, (nonlinear and fractional gradient) elastic, viscoelastic, poroelastic wave phenomena, and diffuse electromagnetic phenomena
- Self-gravitation, earthquake dynamics, geomechanics, normal modes, tidal deformation, and MHD
- Studies planetary bodies including Earth, Mars, Saturn, and Jupiter
