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 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  

  2. 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

  3. 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

  4. 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
    Dataset  

  5. 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  

  6. 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  

  7. 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  

  8. 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  

  9. 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  

  10. 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  

  11. 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  

  12. 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  

  13. 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  

  14. 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  

  15. 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  

  16. 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  

  17. 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  

  18. 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  

  19. 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  

  20. 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  

  21. 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  

  22. 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  

  23. 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  

  24. 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.2010.04658.x
    Paper