| Multiresolution neural networks for tracking seismic horizons from few training images B Peters, J Granek, E Haber Interpretation 7 (3), SE201-SE213, 2019 | 71 | 2019 |
| Constraints versus penalties for edge-preserving full-waveform inversion B Peters, FJ Herrmann The Leading Edge 36 (1), 94-100, 2017 | 59 | 2017 |
| Neural networks for geophysicists and their application to seismic data interpretation B Peters, E Haber, J Granek The Leading Edge 38 (7), 534-540, 2019 | 53 | 2019 |
| Projection methods and applications for seismic nonlinear inverse problems with multiple constraints B Peters, BR Smithyman, FJ Herrmann Geophysics 84 (2), R251-R269, 2019 | 38 | 2019 |
| A new take on FWI-wavefield reconstruction inversion T van Leeuwen, FJ Herrmann, B Peters 76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014 | 25 | 2014 |
| Mineral prospectivity mapping using a VNet convolutional neural network M McMillan, E Haber, B Peters, J Fohring The Leading Edge 40 (2), 99-105, 2021 | 24 | 2021 |
| Fully hyperbolic convolutional neural networks K Lensink, B Peters, E Haber Research in the Mathematical Sciences 9 (4), 60, 2022 | 22 | 2022 |
| Wave-equation based inversion with the penalty method-adjoint-state versus wavefield-reconstruction inversion B Peters, FJ Herrmann, T van Leeuwen 76th EAGE Conference and Exhibition 2014 2014 (1), 1-5, 2014 | 20 | 2014 |
| Constrained waveform inversion of colocated VSP and surface seismic data BR Smithyman, B Peters, FJ Herrmann 77th EAGE Conference and Exhibition 2015 2015 (1), 1-5, 2015 | 13 | 2015 |
| Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems B Peters, FJ Herrmann arXiv preprint arXiv:1902.09699, 2019 | 10 | 2019 |
| A sparse reduced hessian approximation for multi-parameter wavefield reconstruction inversion B Peters, FJ Herrmann SEG Technical Program Expanded Abstracts 2014, 1206-1210, 2014 | 8 | 2014 |
| InvertibleNetworks. jl: A Julia package for scalable normalizing flows R Orozco, P Witte, M Louboutin, A Siahkoohi, G Rizzuti, B Peters, ... arXiv preprint arXiv:2312.13480, 2023 | 7 | 2023 |
| Fully reversible neural networks for large-scale surface and sub-surface characterization via remote sensing KL Bas Peters, Eldad Haber AI for Earth Sciences workshop, International Conference on Learning …, 2020 | 7* | 2020 |
| A numerical solver for least-squares sub-problems in 3D wavefield reconstruction inversion and related problem formulations B Peters, FJ Herrmann SEG International Exposition and Annual Meeting, D023S011R004, 2019 | 7 | 2019 |
| Projection methods and applications for seismic nonlinear inverse problems with multiple constraints: Geophysics, 84 B Peters, BR Smithyman, FJ Herrmann R251–R269, 2019 | 7* | 2019 |
| Symmetric block-low-rank layers for fully reversible multilevel neural networks B Peters, E Haber, K Lensink arXiv preprint arXiv:1912.12137, 2019 | 6 | 2019 |
| Multiresolution neural networks for tracking seismic horizons from few training images: Interpretation, 7 B Peters, J Granek, E Haber SE201–SE213, 2019 | 6 | 2019 |
| Point-to-set distance functions for output-constrained neural networks B Peters Journal of Applied and Numerical Optimization 4 (2), 175-201, 2022 | 5 | 2022 |
| InvertibleNetworks. jl: A Julia framework for invertible neural networks P Witte, G Rizzuti, M Louboutin, A Siahkoohi, F Herrmann, B Peters Georgia Institute of Technology, https://github. com/slimgroup …, 2021 | 5 | 2021 |
| Fully reversible neural networks for large-scale 3D seismic horizon tracking B Peters, E Haber EAGE 2020 Annual Conference & Exhibition Online 2020 (1), 1-5, 2020 | 5 | 2020 |
Felix J. HerrmannProfessor Schools of Earth and Atmospheric Sciences, Computational Science and EngineeringVerified email at gatech.edu