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.

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

1. M. Sambridge, A.P. Valentine & J. Hauser, in review.
   Trans-conceptual sampling: Bayesian inference with competing assumptions.
   Journal of Geophysical Research: Solid Earth.
   Preprint  
   
   
2. M. Scheiter, A.P. Valentine & M. Sambridge, in review.
   Bayesian Inference in Geophysics with AI-enhanced Markov chain Monte Carlo.
   Journal of Geophysical Research: Solid Earth.
   Preprint  
   
   
3. 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
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4. 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
   Preprint  
   
   
5. 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
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6. 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
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7. 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
   
   
8. 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
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9. 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  
   
   
10. 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
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11. 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  
    
    
12. 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
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13. 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
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14. 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  
    
    
15. 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  
    
    
16. 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
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17. 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
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18. 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
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19. 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
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20. 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
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21. 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
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22. 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
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23. 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
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24. 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
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25. 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
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26. 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
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27. 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
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28. 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
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29. 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
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30. 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
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31. 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
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32. 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
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33. 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
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34. 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
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35. 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
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36. 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
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37. 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