Andrew Valentine



My Google Scholar profile can be found here and my ORCID is 0000-0001-6134-9351. Please contact me if you encounter difficulties in accessing any of my papers.

To understand the bigger picture of how these papers fit together, take a look at my research pages.

  1. Y. Lin, P.L. Whitehouse, A.P. Valentine & S.A. Woodroffe, 2023.
    GEORGIA: a Graph neural network based EmulatOR for Glacial Isostatic Adjustment.
    Geophysical Research Letters, e2023GL103672. doi:10.1029/2023GL103672
    Paper   Supplement   Code  

  2. A.P. Valentine & M. Sambridge, 2023.
    Emerging directions in geophysical inversion.
    In A. Ismail-Zadeh, F. Castelli, D. Jones & S. Sanchez (eds.), Applications of Data Assimilation and Inverse Problems in the Earth Sciences, Cambridge University Press. doi:10.1017/9781009180412.003

  3. B. Turunçtur, A.P. Valentine & M. Sambridge, 2023.
    Overcomplete Tomography: A novel approach to imaging.
    RAS Techniques and Instruments, 2, pp.207-215. doi:10.1093/rasti/rzad010
    Paper   Code  

  4. D.R. Davies, S. Ghelichkhan, M.J. Hoggard, A.P. Valentine and F.D. Richards, 2023.
    Observations and models of dynamic topography: Current status and future directions.
    In J.C. Duarte (eds.), Dynamics of plate tectonics and mantle convection, Elsevier. doi:10.1016/B978-0-323-85733-8.00017-2
    Preprint   Code  

  5. M. Sambridge, A. Jackson & A.P. Valentine, 2023.
    Reply to comment on Geophysical inversion and optimal transport, 231, 172-198, by Okazaki and Ueda.
    Geophysical Journal International, 233, pp.1488-1491. doi:10.1093/gji/ggad002

  6. A.P. Valentine & M. Sambridge, 2022.
    pyprop8: A lightweight code to simulate seismic observables in a layered half-space.
    Journal of Open Source Software, 7, pp.4217. doi:10.21105/joss.04217
    Paper   Code  

  7. M. Sambridge, A. Jackson & A.P. Valentine, 2022.
    Geophysical inversion and optimal transport.
    Geophysical Journal International, 231, pp.172-198. doi:10.1093/gji/ggac151
    Preprint   Code  

  8. M. Scheiter, A.P. Valentine & M. Sambridge, 2022.
    Upscaling and downscaling geophysical model ensembles with generative models.
    Geophysical Journal International, 230, pp.916-931. doi:10.1093/gji/ggac100
    Paper   Code  

  9. C. Le Losq, A.P. Valentine, B.O. Mysen & D.R. Neuville, 2021.
    Structure and properties of alkali aluminosilicate glasses and melts: insights from deep learning.
    Geochimica et Cosmochimica Acta, 314, pp.27-54. doi:10.1016/j.gca.2021.08.023
    Paper   Supplement   Perspective   Code   Interactive  

  10. A. Rijal, L. Cobden, J. Trampert, J. Jackson and A. Valentine, 2021.
    Inferring material properties of the lower mantle minerals using mixture density networks.
    Physics of the Earth and Planetary Interiors, 319. doi:10.1016/j.pepi.2021.106784

  11. A.P. Valentine and D.R. Davies, 2020.
    Global models from sparse data: A robust estimate of Earth's residual topography spectrum.
    Geochemistry, Geophysics, Geosystems, e2020GC009240. doi:10.1029/2020GC009240
    Preprint   Dataset   Code  

  12. A.P. Valentine and M. Sambridge, 2020.
    Gaussian process models — II. Lessons for discrete inversion.
    Geophysical Journal International, 220, pp.1648-1656. doi:10.1093/gji/ggz521

  13. A.P. Valentine and M. Sambridge, 2020.
    Gaussian process models — I. A framework for probabilistic continuous inverse theory.
    Geophysical Journal International, 220, pp.1632-1647. doi:10.1093/gji/ggz520

  14. B. Hejrani, R. Hassan, A. Gorbatov, M. Sambridge, R. Hawkins, A. Valentine, K. Czarnota & J. Zhao, 2020.
    Ambient noise tomography of Australia: application to AusArray deployment.
    In K. Czarnota, I. Roach, S. Abbott, M. Haynes, N. Kositcin, A. Ray & E. Slatter (eds.), Exploring for the Future: Extended Abstracts, Geoscience Australia. doi:10.11636/135130
    Paper   Dataset  

  15. D.R. Davies, A.P. Valentine, S.C. Kramer, N. Rawlinson, M.J. Hoggard, C. Eakin and C.R. Wilson, 2019.
    Earth's multi-scale topographic response to global mantle flow.
    Nature Geoscience, 12, pp.845-850. doi:10.1038/s41561-019-0441-4
    Paper   Supplement   Dataset  

  16. T. Enemark, L.J.M. Peeters, D. Mallants, O. Batelaan, A.P. Valentine and M. Sambridge, 2019.
    Hydrogeological Bayesian hypothesis testing through trans-dimensional sampling of a stochastic water balance model.
    Water, 11, pp.1463. doi:10.3390/w11071463
    Paper   Supplement  

  17. A.P. Valentine and M. Sambridge, 2018.
    Optimal regularisation for a class of linear inverse problem.
    Geophysical Journal International, 215, pp.1003-1021. doi:10.1093/gji/ggy303
    Paper   Code  

  18. D. Al-Attar, O. Crawford, A.P. Valentine and J. Trampert, 2018.
    Hamilton's principle and normal mode coupling in an aspherical planet with a fluid core.
    Geophysical Journal International, 214, pp.485-507. doi:10.1093/gji/ggy141

  19. F. Akbarashrafi, D. Al-Attar, A. Deuss, J. Trampert and A.P. Valentine, 2018.
    Exact free oscillation spectra, splitting functions and the resolvability of Earth's density structure.
    Geophysical Journal International, 213, pp.58-76. doi:10.1093/gji/ggx539

  20. P. Käufl, A.P. Valentine and J. Trampert, 2016.
    Probabilistic point source inversion of strong-motion data in 3D media using pattern recognition: A case study for the 2008 Mw5.4 Chino Hills earthquake.
    Geophysical Research Letters, 43, pp.8492-8498. doi:10.1002/2016GL069887
    Paper   Supplement   Dataset  

  21. S. Atkins, A.P. Valentine, P.J. Tackley and J. Trampert, 2016.
    Using pattern recognition to infer parameters governing mantle convection.
    Physics of the Earth and Planetary Interiors, 257, pp.171-186. doi:10.1016/j.pepi.2016.05.016

  22. P. Käufl, A.P. Valentine, R.W.L. de Wit and J. Trampert, 2016.
    Solving probabilistic inverse problems rapidly with prior samples.
    Geophysical Journal International, 205, pp.1710-1728. doi:10.1093/gji/ggw108

  23. A.P. Valentine and L.M. Kalnins, 2016.
    An introduction to learning algorithms and potential applications in geomorphometry and earth surface dynamics.
    Earth Surface Dynamics, 4, pp.445-460. doi:10.5194/esurf-4-445-2016

  24. A.P. Valentine and J. Trampert, 2016.
    The impact of approximations and arbitrary choices on geophysical images.
    Geophysical Journal International, 204, pp.59-73. doi:10.1093/gji/ggv440

  25. P. Käufl, A.P. Valentine, R.W.L. de Wit and J. Trampert, 2015.
    Robust and fast probabilistic source parameter estimation from near-field displacement waveforms using pattern recognition.
    Bulletin of the Seismological Society of America, 105, pp.2299-2312. doi:10.1785/0120150010

  26. R.W.L. de Wit, P. Käufl, A.P. Valentine and J. Trampert, 2014.
    Bayesian inversion of free oscillations for Earth's radial (an)elastic structure.
    Physics of the Earth and Planetary Interiors, 237, pp.1-17. doi:10.1016/j.pepi.2014.09.004

  27. P. Käufl, A.P. Valentine, T.B. O'Toole and J. Trampert, 2014.
    A framework for fast probabilistic centroid–moment-tensor determination — Inversion of regional static displacement measurements.
    Geophysical Journal International, 196, pp.1676-1693. doi:10.1093/gji/ggt473

  28. R.W.L. de Wit, A.P. Valentine and J. Trampert, 2013.
    Bayesian inference of Earth's radial seismic structure from body wave travel times using neural networks.
    Geophysical Journal International, 195, pp.408-422. doi:10.1093/gji/ggt220

  29. A.P. Valentine, L.M. Kalnins and J. Trampert, 2013.
    Discovery and analysis of topographic features using learning algorithms: A seamount case-study.
    Geophysical Research Letters, 40, pp.3048-3054. doi:10.1002/grl.50615
    Paper   Supplement  

  30. T.B. O'Toole, A.P. Valentine and J.H. Woodhouse, 2013.
    Earthquake source parameters from GPS-measured static displacements with potential for real-time application.
    Geophysical Research Letters, 40, pp.60-65. doi:10.1029/2012GL054209

  31. A.P. Valentine and J. Trampert, 2012.
    Assessing the uncertainties on seismic source parameters: Towards realistic error estimates for centroid-moment tensor determinations.
    Physics of the Earth and Planetary Interiors, 210-211, pp.36-49. doi:10.1016/j.pepi.2012.08.003

  32. T.B. O'Toole, A.P. Valentine and J.H. Woodhouse, 2012.
    Centroid-moment tensor inversions using high-rate GPS waveforms.
    Geophysical Journal International, 191, pp.257-270. doi:10.1111/j.1365-246X.2012.05608.x

  33. A.P. Valentine and J. Trampert, 2012.
    Data space reduction, quality assessment and searching of seismograms: autoencoder networks for waveform data.
    Geophysical Journal International, 189, pp.1183-1202. doi:10.1111/j.1365-246X.2012.05429.x
    Paper   Code  

  34. A.P. Valentine and J.H. Woodhouse, 2010.
    Approaches to automatic data selection for global seismic tomography.
    Geophysical Journal International, 182, pp.1001-1012. doi:10.1111/j.1365-246X.2010.04658.x

  35. A.P. Valentine and J.H. Woodhouse, 2010.
    Reducing errors in seismic tomography: Combined inversion for sources and structure.
    Geophysical Journal International, 180, pp.847-857. doi:10.1111/j.1365-246X.2009.04452.x