Publications

Precipitation reconstruction from climate-sensitive lithologies using Bayesian machine learning

Rohitash Chandra, Sally Cripps, Nathaniel Butterworth, R. Dietmar Muller
Environmental Modelling & Software. Volume 139, May 2021; https://doi.org/10.1016/j.envsoft.2021.105002

3D geological structure inversion from Noddy-generated magnetic data using deep learning methods

Jiateng Guo, Yunqiang Li, Mark Walter Jessell, Jeremie Giraud, Chaoling Li, Lixin Wu, Fengdan Li, Shanjun Liu,
Computers & Geosciences. Volume 149, April 2021; https://doi.org/10.1016/j.cageo.2021.104701.

Effect Estimates of COVID-19 Non-Pharmaceutical Interventions are Non-Robust and Highly Model-Dependent

Vincent Chin, John P.A. Ioannidis, Martin A. Tanner, Sally Cripps
Journal of Clinical Epidemiology. March 26, 2021; https://doi.org/10.1016/j.jclinepi.2021.03.014

dh2loop 1.0: an open-source python library for automated processing and classification of geological logs

Ranee Joshi, Kavitha Madaiah, Mark Jessell, Mark Lindsay, Guillaume Pirot
Geoscientific Model Development. [preprint], https://doi.org/10.5194/gmd-2020-391, in review, 2021.

Deep learning via LSTM models for COVID-19 infection forecasting in India

Rohitash Chandra, Ayush Jain, Divyanshu Singh Chauhan
arXiv:2101.11881 [cs.LG]

Non-Volume Preserving Hamiltonian Monte Carlo and No-U-TurnSamplers

Sally Cripps, Hadi Afshar
To appear in the Proceedings of the 2021 International Conference on Artificial Intelligence and Statistics

Efficient Selection Between Hierarchical Cognitive Models: Cross-validation With Variational Bayes

Viet-Hung Dao, David Gunawan, Minh-Ngoc Tran, Robert Kohn, Guy E. Hawkins, Scott D. Brown
https://arxiv.org/abs/2102.06814

The Australian bushfire disaster: How to avoid repeating this catastrophe for biodiversity

Danielle Celermajer, Rosemary Lyster, Glenda M. Wardle, Rachel Walmsley, Ed Couzens
WIREs Climate Change. March 03, 2021; e704. https://doi.org/10.1002/wcc.704

Statistical finite elements for misspecified models

Connor Duffin, Edward Cripps, Thomas Stemler, Mark Girolami
Proceedings of the National Academy of Sciences. January 2021, 118 (2) e2015006118; DOI: 10.1073/pnas.2015006118

Automated geological map deconstruction for 3D model construction

Mark Jessell, Vitaliy Ogarko, Mark Lindsay, Ranee Joshi, Agnieszka Piechocka, Lachlan Grose, Miguel de la Varga, Laurent Ailleres, Guillaume Pirot
Geoscientific Model Development. [preprint], https://doi.org/10.5194/gmd-2020-400, in review, 2021.

Climate change and other trends in streamflow observations in Australian forested catchments since 1970

R. Willem Vervoort, Michaela M. Dolk, Floris F. van Ogtrop
Hydrological Processes. 2021; 35:e13999. https://doi.org/10.1002/hyp.13999

Genetic differentiation can be predicted from observational data for reproductive but not vegetative traits in a widespread short-lived plant

Jesus Villellas, Johan Ehrlén, Elizabeth Crone, et al.
Authorea. January 04, 2021. DOI: 10.22541/au.160975628.85388662/v1

Mineral systems prospectivity modelling for gold and nickel in the Halls Creek Orogen, Western Australia

Fariba Kohanpour, Sandra Occhipinti, Mark Lindsay, Weronika Gorczyk, Fred Jourdan, Marc Poujol
Ore Geology Reviews. Volume 127, December 2020; https://doi.org/10.1016/j.oregeorev.2020.103809

The evolution from plate margin to intraplate mineral systems in the Capricorn Orogen, links to prospectivity

Sandra Occhipinti, Václav Metelka, Mark Lindsay, Alan Aitken, Franco Pirajno, Ian Tyler
Ore Geology Reviews. Volume 127, December 2020; https://doi.org/10.1016/j.oregeorev.2020.103811

Cooperative Inversion of Seismic and Gravity Data Using Weighted Structure-Based Constraints

Mahtab Rashidifard, Jeremie Giraud, Vitaliy Ogarko, Mark Jessell, Mark Lindsay
Proceedings of NSG2020 3rd Conference on Geophysics for Mineral Exploration and Mining. December 2020; https://doi.org/10.3997/2214-4609.202020042

Convex Optimization for Blind Source Separation on Statistical Manifolds

Simon Luo, Lamiae Azizi, Mahito Sugiyama
NeurIPS 2020 workshop on Differential Geometry meets Deep Learning. December 2020.

A Deep Architecture for Log-Linear Models

Simon Luo, Sally Cripps, Mahito Sugiyama
NeurIPS 2020 workshop on Differential Geometry meets Deep Learning. December 2020.

Building trust in SWAT model scenarios through a multi-institutional approach in Uruguay

Flora Mer, Walter Baethgen, R. Willem Vervoort
Socio-Environmental Systems Modelling. Volume 2, 2020; https://doi.org/10.18174/sesmo.2020a17892

Quantifying input uncertainty in the calibration of water quality models: reshuffling errors via the secant method

Xia Wu, Lucy Marshall, Ashish Sharma
Hydrology and Earth System Sciences. November 12, 2020; https://doi.org/10.5194/hess-2020-563

Improving the Combination of Satellite Soil Moisture Data Sets by Considering Error Cross Correlation: A Comparison Between Triple Collocation (TC) and Extended Double Instrumental Variable (EIVD) Alternatives

Seokhyeon Kim, Hung T. Pham, Yi Y. Liu, Lucy Marshall, Ashish Sharma
IEEE Transactions on Geoscience and Remote Sensing. November 02, 2020; doi: 10.1109/TGRS.2020.3032418.

Towards plausible lithological classification from geophysical inversion: honouring geological principles in subsurface imaging

Jérémie Giraud, Mark Lindsay, Mark Jessell, Vitaliy Ogarko
Solid Earth, 11, 419–436, 2020; https://doi.org/10.5194/se-11-419-2020