Andrew Valentine

Publications

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.

  1. A.P. Valentine & M. Sambridge, in review.
    pyprop8: A lightweight code to simulate seismic observables in a layered half-space.
    Journal of Open Source Software.
    Code  

  2. D.R. Davies, S. Ghelichkhan, M.J. Hoggard, A.P. Valentine and F.D. Richards, in press.
    Observations and models of dynamic topography: Current status and future directions.
    In J.C. Duarte (eds.), Dynamics of plate tectonics and mantle convection, Elsevier.
    Preprint   Code  

  3. A.P. Valentine & M. Sambridge, in press.
    Emerging directions in geophysical inversion.
    Preprint  

  4. M. Sambridge, A. Jackson & A.P. Valentine, in press.
    Geophysical inversion and optimal transport.
    Geophysical Journal International. doi:10.1093/gji/ggac151
    Preprint   Code  

  5. 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  

  6. 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  

  7. 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
    Paper  

  8. 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  

  9. 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
    Paper  

  10. 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
    Paper  

  11. 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  

  12. 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  

  13. 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.
    Geophysical Journal International, 11, pp.1463. doi:10.3390/w11071463
    Paper   Supplement  

  14. 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  

  15. 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
    Paper  

  16. 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
    Paper  

  17. 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  

  18. 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
    Paper  

  19. 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
    Paper  

  20. 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
    Paper  

  21. 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
    Paper  

  22. 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
    Paper  

  23. 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
    Paper  

  24. 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
    Paper  

  25. 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
    Paper  

  26. 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  

  27. 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
    Paper  

  28. 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
    Paper  

  29. 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
    Paper  

  30. 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  

  31. 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
    Paper  

  32. 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
    Paper