Publications

An integrated, tiered microplastic workflow, supporting rapid broadscale detection options

Samantha K Lynch, Colin L Johnson, Shivanesh Rao, Jaimie Loa-Kum-Cheung, Edwina L Foulsham, Alessandra L Suzzi, Lachlan Hill, Neil Doszpot, Rajitha Athukorala, Uthpala Pinto, Keegan Vickers, Maddison Carbery, Marina F.M. Santana
MethodsX, Volume 15, December 2025; https://doi.org/10.1016/j.mex.2025.103536

A research agenda for improving flood resilience in Australia

Fiona Johnson, Suresh Hettiarachchi
Journal of Hydrology, Volume 662, Part A, December 2025; https://doi.org/10.1016/j.jhydrol.2025.133887

Bayesian forecasting of Italian seismicity using the spatiotemporal RETAS model

Tom Stindl, Zelong Bi, Clara Grazian
Computational Statistics & Data Analysis, Volume 212, December 2025; https://doi.org/10.1016/j.csda.2025.108219

Cost-effectiveness of green infrastructure under climate change: model parameterization, uncertainty, and sensitivity

Kexin Liu, Tsuyoshi Kinouchi, Gang Zhao, Fiona Johnson, Kefeng Zhang
Journal of Hydrology, Volume 661, Part C, November 2025; https://doi.org/10.1016/j.jhydrol.2025.133796

A mixture of experts approach to sandy shoreline modelling in storm dominated systems

Kit Calcraft, Joshua A. Simmons, Lucy A. Marshall, Kristen D. Splinter
Coastal Engineering, Volume 201, October 2025; https://doi.org/10.1016/j.coastaleng.2025.104813

Enhancing inundation mapping with geomorphological segmentation: Filling in gaps in spectral observations

Maria Julieta Rossi, R. Willem Vervoort
Science of The Total Environment, Volume 997, October 2025; https://doi.org/10.1016/j.scitotenv.2025.18018

Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood

Nhat-Minh Nguyen, Minh-Ngoc Tran, Christopher Drovandi & David Nott
Journal of Computational and Graphical Statistics, August 2025; https://doi.org/10.1080/10618600.2025.2520581

Generative Flexible Latent Structure Regression (GFLSR) model

Clara Grazian, Qian Jin, Pierre Lafaye De Micheaux
arXiv preprint, August 2025; https://doi.org/10.48550/arXiv.2508.04393

Next Generation Models for Subsequent Sports Injuries

Paul Pao-Yen Wu, Yu Yi Yu, Liam A. Toohey, Michael Drew, Scott A. Sisson, Clara Grazian, Kerrie Mengersen
Applied Stochastic Models in Business and Industry, Volume 41, Issue 4, August 2025; https://doi.org/10.1002/asmb.70034

Benchmarking shoreline prediction models over multi-decadal timescales

Yongjing Mao, Giovanni Coco, Sean Vitousek, Jose A. A. Antolinez, Georgios Azorakos, Masayuki Banno, Clément Bouvier, Karin R. Bryan, Laura Cagigal, Kit Calcraft, Bruno Castelle, Xinyu Chen, Maurizio D’Anna, Lucas de Freitas Pereira, Iñaki de Santiago, Aditya N. Deshmukh, Bixuan Dong, Ahmed Elghandour, Amirmahdi Gohari, Eduardo Gomez-de la Peña, Mitchell D. Harley, Michael Ibrahim, Déborah Idier, Camilo Jaramillo Cardona, Changbin Lim, Ivana Mingo, Julian O’Grady, Daniel Pais, Oxana Repina, Arthur Robinet, Dano Roelvink, Joshua Simmons, Erdinc Sogut, Katie Wilson & Kristen D. Splinter
Communications Earth & Environment, Volume 6, July 2025; https://doi.org/10.1038/s43247-025-02550-4

Variational Bayesian inference for models with nuisance parameters and an intractable likelihood

Y. H. Paco Tseng, Minh-Ngoc Tran & Robert Kohn
Statistics and Computing, Volume 35, June 2025; https://doi.org/10.1007/s11222-025-10654-2

Impacts of the Large Seasonal Cycle of Upwelling Zone Sea Surface Temperatures on the Atmosphere

Nandini Ramesh and William R. Boos
Journal of Climate, Volume 38, Issue 12, June 2025; https://doi.org/10.1175/JCLI-D-24-0169.1

Aridity modulates grassland biomass responses to combined drought and nutrient addition

V. F. Bondaruk, C. Xu, P. Wilfahrt, L. Yahdjian, Q. Yu, E. T. Borer, A. Jentsch, E. W. Seabloom, M. D. Smith, J. Alberti, G. R. Oñatibia, H. Dieguez, M. Carbognani, A. Kübert, S. A. Power, N. Eisenhauer, F. Isbell, H. Auge, M. H. Chandregowda, A. C. Churchill, P. Daleo, T. Forte, A. C. Greenville, S. E. Koerner, …Y. Hautier
Nature Ecology & Evolution, Volume 9, June 2025; https://doi.org/10.1038/s41559-025-02705-8

Improving Adversarial Training From the Perspective of Class-Flipping Distribution

Dawei Zhou, Nannan Wang, Tongliang Liu, Xinbo Gao
IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 47, Issue 6, June 2025; https://doi.org/10.1109/TPAMI.2025.3540200

Feature fusion-enhanced t-SNE image atlas for geophysical features discovery

Leonardo Portes, Guillaume Pirot, Michel M. Nzikou, Jeremie Giraud, Mark Lindsay, Mark Jessell & Edward Cripps
Scientific Reports, Volume 15, May 2025; https://doi.org/10.1038/s41598-025-01333-3

Dominant species predict plant richness and biomass in global grasslands

Pengfei Zhang, Eric W. Seabloom, Jasmine Foo, Andrew S. MacDougall, W. Stanley Harpole, Peter B. Adler, Yann Hautier, Nico Eisenhauer, Marie Spohn, Jonathan D. Bakker, Ylva Lekberg, Alyssa L. Young, Clinton Carbutt, Anita C. Risch, Pablo L. Peri, Nicholas G. Smith, Carly J. Stevens, Suzanne M. Prober, Johannes M. H. Knops, Glenda M. Wardle, Christopher R. Dickman, Anne Ebeling, Christiane Roscher, Holly M. Martinson, Jason P. Martina, Sally A. Power, Yujie Niu, Zhengwei Ren, Guozhen Du, Risto Virtanen, Pedro Tognetti, Michelle J. Tedder, Anke Jentsch, Jane A. Catford & Elizabeth T.
Nature Ecology & Evolution, May 2025; https://doi.org/10.1038/s41559-025-02701-y

Assessing named entity recognition by using geoscience domain schemas: the case of mineral systems

Sandra Paula Villacorta Chambi, Mark Lindsay, Jens Klump, Klaus Gessner, Erin Gray, Helen McFarlane
Frontiers in Earth Science, Volume 13, May 2025; https://doi.org/10.3389/feart.2025.1530004

Data-driven shoreline modelling at timescales of days to years

Joshua A. Simmons, Kristen D. Splinter
Coastal Engineering, Volume 197, April 2025; https://doi.org/10.1016/j.coastaleng.2024.104685

Assessing the invertibility of deep biometric representations: Investigating CNN hyperparameters for enhanced security against adversarial attacks

Clara Grazian, Qian Jin, Gioacchino Tangari
Expert Systems with Applications, Volume 264, March 2025; https://doi.org/10.1016/j.eswa.2024.125848

Detecting Petalura gigantea: Novel eDNA Method and Water Balance Modelling Insights Enable Improved Catchment Management and Conservation Outcomes

J. Cairns, I. R. C. Baird, F. Johnson, L. Noble, W. Glamore
Ecohydrology, Volume 18, Issue 2, March 2025; https://doi.org/10.1002/eco.70013

Assessing the invertibility of deep biometric representations: Investigating CNN hyperparameters for enhanced security against adversarial attacks

Clara Grazian, Qian Jin, Gioacchino Tangari
Expert Systems with Applications, Volume 264, March 2025; https://doi.org/10.1016/j.eswa.2024.125848

Interpreting Deepkriging for spatial interpolation in geostatistics

Fabian Leal-Villaseca, Edward Cripps, Mark Jessell, Mark Lindsay
Computers & Geosciences, Volume 196, February 2025; https://doi.org/10.1016/j.cageo.2024.105833

Environmental water requirements and climate sensitivity of Australia’s upland swamps

J. Cairns, W. Glamore, F. Johnson
Science of The Total Environment, Volume 966, February 2025; https://doi.org/10.1016/j.scitotenv.2025.178792

Evaluating the Performance of Sentinel-1 SAR Derived Snow Depth Retrievals Over the Extratropical Andes Cordillera

N. Bulovic, F. Johnson, H. Lievens, T. E. Shaw, J. McPhee, S. Gascoin, M. Demuzere, N. McIntyre
Water Resources Research, Volume 61, Issue 2, February 2025; https://doi.org/10.1029/2024WR037766

Do LSTM memory states reflect the relationships in reduced-complexity sandy shoreline models

Kit Calcraft, Kristen D. Splinter, Joshua A. Simmons, Lucy A. Marshall
Environmental Modelling & Software, Volume 183, January 2025; https://doi.org/10.1016/j.envsoft.2024.106236

A Beta Cauchy-Cauchy (BECCA) shrinkage prior for Bayesian variable selection

Linduni M. Rodrigo, Robert Kohn, Hadi M. Afshar, Sally Cripps
arXiv preprint, January 2025; https://doi.org/10.48550/arXiv.2501.07061

Spatial error constraints reduce overfitting for potential field geophysical inversion

Mark Douglas Lindsay, Vitaliy Ogarko, Jeremie Giraud and Mosayeb Khademi
EGUsphere, January 2025; https://doi.org/10.5194/egusphere-2024-3754

Compact Bayesian Neural Networks via pruned MCMC sampling

Ratneel Deo, Scott Sisson, Jody M. Webster, Rohitash Chandra
arXiv preprint, January 2025; https://doi.org/10.48550/arXiv.2501.06962

Understanding the implications of climate change for Australia’s surface water resources: Challenges and future directions

Conrad Wasko, Clare Stephens, Tim J. Peterson, Rory Nathan, Acacia Pepler, Suresh Hettiarachchi, Elisabeth Vogel, Fiona Johnson, Seth Westra
Journal of Hydrology, Volume 645, Part B, December 2024; https://doi.org/10.1016/j.jhydrol.2024.132221

Considerations in designing climate change assessments for complex, non-linear hydrological systems

Fiona Johnson, Clare Stephens, Martin Krogh
Journal of Hydrology, Volume 645, Part A, December 2024; https://doi.org/10.1016/j.jhydrol.2024.132182

Local nutrient addition drives plant diversity losses but not biotic homogenization in global grasslands

Qingqing Chen, Shane A. Blowes, W. Stanley Harpole, Emma Ladouceur, Elizabeth T. Borer, Andrew MacDougall, Jason P. Martina, Jonathan D. Bakker, Pedro M. Tognetti, Eric W. Seabloom, Pedro Daleo, Sally A. Power, Christiane Roscher, Peter Adler, Ian Donohue, George Wheeler, Carly Stevens, Ciska Veen, Anita C. Risch, Glenda M. Wardle, Yann Hautier, Catalina Estrada, Erika Hersch-Green, Yujie Niu, Pablo L. Peri, Anu Eskelinen, Daniel S Gruner, Harry Olde Venterink, Carla D’Antonio, Marc W. Cadotte, Sylvia Haider, Nico Eisenhauer, Jane Catford, Risto Virtanen, John W. Morgan, Michelle Tedder, Sumanta Bagchi, Maria C. Caldeira, Miguel Bugalho, Johannes M. H. Knops, Chris R. Dickman, Nicole Hagenah, Anke Jentsch, Petr Macek, Brooke B. Osborne, Lauri Laanisto, Jonathan M. Chase
bioRxiv preprint, December 2024; https://doi.org/10.1101/2024.03.27.586835

Modelling the availability of water, energy, and food resources in transboundary river basins to achieve Sustainable Development Goals 2, 6, and 7

Jack W. Lodge, Andrew P. Dansie, Nguyen Mai Dang, Fiona Johnson
Science of The Total Environment, Volume 949, November 2024; https://doi.org/10.1016/j.scitotenv.2024.175186

Continuity approximation in hybrid Bayesian networks structure learning

Wanchuang Zhu & Ngoc Lan Chi Nguyen
Statistics and Computing, Volume 34, November 2024; https://doi.org/10.1007/s11222-024-10531-4

A filtered Rankine–Hugoniot method for consistent stochastic particle LES-FDF modelling of combustion in high-speed flows

Gunvir Singh Walia, Sebastian Galindo-Lopez, Matthew J. Cleary, Santanu De
Combustion and Flame, Volume 269, November 2024; https://doi.org/10.1016/j.combustflame.2024.113680

Spectral domain likelihoods for Bayesian inference in time-varying parameter models

Oskar Gustafsson, Mattias Villani, Robert Kohn
arXiv preprint, November 2024; https://doi.org/10.48550/arXiv.2411.14010

Spectral Subsampling MCMC for Stationary Multivariate Time Series with Applications to Vector ARTFIMA Processes

Mattias Villani, Matias Quiroz, Robert Kohn, Robert Salomone
Econometrics and Statistics, Volume 32, October 2024; https://doi.org/10.1016/j.ecosta.2022.10.001

On Intriguing Layer-Wise Properties of Robust Overfitting in Adversarial Training

Duke Nguyen, Chaojian Yu, Vinoth Nandakumar, Young Choon Lee, Tongliang Liu
Transactions on Machine Learning Research, October 2024

Novel Bayesian algorithms for ARFIMA long-memory processes: a comparison between MCMC and ABC approaches

James Cohen Gabor, Clara Grazian
arXiv preprint, October 2024; https://doi.org/10.48550/arXiv.2410.13261

Mind the Gap Between Prototypes and Images in Cross-domain Finetuning

Hongduan Tian, Feng Liu, Zhanke Zhou, Tongliang Liu, Chengqi Zhang, Bo Han
arXiv preprint, October 2024; https://doi.org/10.48550/arXiv.2410.12474

Approximate Bayesian Computation with Statistical Distances for Model Selection

Christian Angelopoulos, Clara Grazian
arXiv preprint, October 2024; https://doi.org/10.48550/arXiv.2410.21603

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef

Ratneel Deo, Cédric M. John, Chen Zhang, Kate Whitton, Tristan Salles, Jody M. Webster & Rohitash Chandra
Scientific Data, Volume 11, September 2024; https://doi.org/10.1038/s41597-024-03766-3

Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning

Ziming Hong, Li Shen, Tongliang Liu
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), September 2024; https://doi.org/10.1109/CVPR52733.2024.02721

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency

Runqi Lin, Chaojian Yu, Bo Han, Hang Su, Tongliang Liu
arXiv preprint, September 2024; https://doi.org/10.48550/arXiv.2405.16262

Decomposed Prompt Decision Transformer for Efficient Unseen Task Generalization

Hongling Zheng, Li Shen, Yong Luo, Tongliang Liu, Jialie Shen, Dacheng Tao
38th Conference on Neural Information Processing Systems, September 2024

Assessing effects of afforestation on streamflow in Uruguay: From small to large basins

Jimena Alonso, Luis Silveira, R. Willem Vervoort
Hydrological Processes, Volume 38, Issue 9, September 2024; https://doi.org/10.1002/hyp.15272

An introduction to quantum computing for statisticians and data scientists

Anna Lopatnikova, Minh-Ngoc Tran, Scott A. Sisson
Foundations of Data Science, Volume 6, Issue 3, September 2024; https://doi.org/10.3934/fods.2024013

Overcoming survival bias in targeting mineral deposits of the future: Towards null and negative tests of the exploration search space, accounting for lack of visibility

Mahyar Yousefi, Vesa Nykänen, Jeff Harris, Jon M.A. Hronsky, Oliver P. Kreuzer, Guillaume Bertrand, Mark Lindsay
Ore Geology Reviews, Volume 172, September 2024; https://doi.org/10.1016/j.oregeorev.2024.106214

Parametric Maps of Kinetic Heterogeneity and Ki in Dynamic Total Body PET using Approximate Bayesian Computation

Q. Gu, G. Angelis, D. Bailey, P. Roach, C. Grazian, G. Emvalomenos
2024 IEEE Nuclear Science Symposium (NSS), Medical Imaging Conference (MIC) and Room Temperature Semiconductor Detector Conference (RTSD), September 2024; https://doi.org/10.1109/NSS/MIC/RTSD57108.2024.10657628

Analysis of the explicit volume diffusion subgrid closure for the (surface density and mass fraction) model to interfacial flows over a wide range of Weber numbers

Jiayue Yu, Sebastian Galindo-Lopez, Bosen Wang, Agisilaos Kourmatzis, Matthew J. Cleary
International Journal of Multiphase Flow, Volume 179, September 2024; https://doi.org/10.1016/j.ijmultiphaseflow.2024.104914

Time-Varying Multi-Seasonal AR Models

Ganna Fagerberg, Mattias Villani, Robert Kohn
arXiv preprint, September 2024; https://doi.org/10.48550/arXiv.2409.18640

Ada2vec: Adaptive Representation Learning for Large-Scale Dynamic Heterogeneous Networks

Ranran Bian, R. Willem Vervoort
Big Data Analytics and Knowledge Discovery, Volume 14912, August 2024; https://doi.org/10.1007/978-3-031-68323-7_15

Cooperative geophysical inversion integrated with 3-D geological modelling in the Boulia region, QLD

Mahtab Rashidifard, Jérémie Giraud, Mark Lindsay, Mark Jessell
Geophysical Journal International, Volume 238, Issue 2, August 2024; https://doi.org/10.1093/gji/ggae179

Mining impacts peatland hydrology reducing discharge and water storage volumes

J. Cairns, M. Mason, A. Harrison, F. Johnson, A. Davie, W. Glamore
Journal of Hydrology, Volume 640, August 2024; https://doi.org/10.1016/j.jhydrol.2024.131735

Transdimensional geometrical inversion: Application to undercover imaging using gravity data

Jeremie Giraud, Mahtab Rashidifard, Vitaliy Ogarko, Guillaume Caumon, Lachlan Grose, Julien Herrero, Paul Cupillard, Mark Lindsay, Mark Jessell and Laurent Aillères
SEG Global Meeting Abstracts, 2024; https://doi.org/10.1190/GEM2024-042.1

A multi-centennial drought reconstruction from tree-rings reveals a growing threat to Christmas Island’s water resources

S. Sharifazari, J.G. Palmer, F. Johnson, C.S.M. Turney, M.S. Andersen
Dendrochronologia, Volume 86, August 2024; https://doi.org/10.1016/j.dendro.2024.126238

Analysing symbolic data by pseudo-marginal methods

Yu Yang, Matias Quiroz, Boris Beranger, Robert Kohn, Scott A. Sisson
arXiv preprint, August 2024; https://doi.org/10.48550/arXiv.2408.04419

Dynamic linear regression models for forecasting time series with semi long memory errors

Thomas Goodwin, Matias Quiroz, Robert Kohn
arXiv preprint, August 2024; https://doi.org/10.48550/arXiv.2408.09096

Mitigating Label Noise on Graph via Topological Sample Selection

Yuhao Wu, Jiangchao Yao, Xiaobo Xia, Jun Yu, Ruxin Wang, Bo Han, Tongliang Liu
arXiv preprint, August 2024; https://doi.org/10.48550/arXiv.2403.01942

Uncertainty analysis of soot formation in laminar flames simulated with a sectional method

Xingyu Su, Matthew J. Cleary, Hua Zhou, Zhuyin Ren, Assaad R. Masri
Combustion and Flame, Volume 265, July 2024; https://doi.org/10.1016/j.combustflame.2024.113430

State Space Modelling for detecting and characterising gravitational waves afterglows

D. d’Antonio, M.E. Bell, J.J. Brown, C. Grazian
Astronomy and Computing, Volume 48, July 2024; https://doi.org/10.1016/j.ascom.2024.100860

Optimal Kernel Choice for Score Function-based Causal Discovery

Wenjie Wang, Biwei Huang, Feng Liu, Xinge You, Tongliang Liu, Kun Zhang, Mingming Gong
arXiv preprint, July 2024; https://doi.org/10.48550/arXiv.2407.10132

Evaluation of deep learning models for Australian climate extremes: prediction of streamflow and floods

Siddharth Khedkar, R. Willem Vervoort, Rohitash Chandra
arXiv preprint, July 2024; https://doi.org/10.48550/arXiv.2407.15882

SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

Yuwei Wan, Yixuan Liu, Aswathy Ajith, Clara Grazian, Bram Hoex, Wenjie Zhang, Chunyu Kit, Tong Xie, Ian Foster
arXiv preprint, July 2024; https://doi.org/10.48550/arXiv.2405.09939

Bayesian linear regression with Gaussian mixture likelihood for outlier detection of metal grades in Porphyry Cu deposit

Yufu Niu, Mark Lindsay, Richard Scalzo, Lequn Zhang, Peter Coghill, Kunning Tang
ESS Open Archive, July 2024; https://doi.org/10.22541/essoar.172108357.76952881/v1

Improving Accuracy-robustness Trade-off via Pixel Reweighted Adversarial Training

Jiacheng Zhang, Feng Liu, Dawei Zhou, Jingfeng Zhang, Tongliang Liu
arXiv preprint, June 2024; https://doi.org/10.48550/arXiv.2406.00685

Bayesian Consistency for Long Memory Processes: A Semiparametric Perspective

Clara Grazian
arXiv preprint, June 2024; https://doi.org/10.48550/arXiv.2406.12780

Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

Chentao Cao, Zhun Zhong, Zhanke Zhou, Yang Liu, Tongliang Liu, Bo Han
arXiv preprint, June 2024; https://doi.org/10.48550/arXiv.2406.00806

Unraveling the Impact of Heterophilic Structures on Graph Positive-Unlabeled Learning

Yuhao Wu, Jiangchao Yao, Bo Han, Lina Yao, Tongliang Liu
arXiv preprint, June 2024; https://doi.org/10.48550/arXiv.2405.19919

One-Shot Learning as Instruction Data Prospector for Large Language Models

Yunshui Li, Binyuan Hui, Xiaobo Xia, Jiaxi Yang, Min Yang, Lei Zhang, Shuzheng Si, Ling-Hao Chen, Junhao Liu, Tongliang Liu, Fei Huang, Yongbin Li
arXiv preprint, June 2024; https://doi.org/10.48550/arXiv.2312.10302

MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence

Hongduan Tian, Feng Liu, Tongliang Liu, Bo Du, Yiu-ming Cheung, Bo Han
arXiv preprint, May 2024; https://doi.org/10.48550/arXiv.2405.18786

Bayesian neural networks via MCMC: a Python-based tutorial

Rohitash Chandra, Joshua Simmons
IEEE Access, May 2024; https://doi.org/10.1109/ACCESS.2024.3401234

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials

Tong Xie, Yuwei Wan, Haoran Wang, Ina Østrøm, Shaozhou Wang, Mingrui He, Rong Deng, Xinyuan Wu, Clara Grazian, Chunyu Kit and Bram Hoex
Journal of Chemical Information and Modeling, Volume 64, Issue 7, May 2024; https://doi.org/10.1021/acs.jcim.3c00746

Towards Realistic Model Selection for Semi-supervised Learning

Muyang Li, Xiaobo Xia, Runze Wu, Fengming Huang, Jun Yu, Bo Han, Tongliang Liu
Proceedings of the 41 st International Conference on Machine Learning, May 2024

Refined Coreset Selection: Towards Minimal Coreset Size under Model Performance Constraints

Xiaobo Xia, Jiale Liu, Shaokun Zhang, Qingyun Wu, Hongxin Wei, Tongliang Liu
Proceedings of the 41 st International Conference on Machine Learning, May 2024

Identifiability and Asymptotics in Learning Homogeneous Linear ODE Systems from Discrete Observations

Yuanyuan Wang, Wei Huang, Mingming Gong, Xi Geng, Tongliang Liu, Kun Zhang, Dacheng Tao
Journal of Machine Learning Research, Volume 25, May 2024

Physiography, foraging mobility, and the first peopling of Sahul

Tristan Salles, Renaud Joannes-Boyau, Ian Moffat, Laurent Husson & Manon Lorcery
Nature Communications, Volume 15, April 2024; https://doi.org/10.1038/s41467-024-47662-1

Modelling a turbulent premixed flame series using an MMC-LES model with a flow-adapted flame wrinkling closure

Y. Shoraka, S. Galindo-Lopez, M.J. Cleary, A.R. Masri, A.Y. Klimenko
Proceedings of the Combustion Institute, Volume 40; https://doi.org/10.1016/j.proci.2024.105296

Bayesian inference of synthetic daily rating curves by coupling Chebyshev Polynomials and the GR4J model

Rafael Navas, Pablo Gamazo, R. Willem Vervoort
Proceedings of IAHS, Volume 385, April 2024; https://doi.org/10.5194/piahs-385-399-2024

Spatio-Temporal Stick-Breaking Process

Clara Grazian
Bayesian Analysis, March 2024; https://doi.org/10.1214/24-BA1419

Structured Variational Approximations with Skew Normal Decomposable Graphical Models and Implicit Copulas

Robert Salomone, Xuejun Yu, David J. Nott, Robert Kohn
Journal of Computational and Graphical Statistics, Volume 33, March 2024; https://doi.org/10.1080/10618600.2024.2319159

A systematic review of climate change science relevant to Australian design flood estimation

Conrad Wasko, Seth Westra, Rory Nathan, Acacia Pepler, Timothy H. Raupach, Andrew Dowdy, Fiona Johnson, Michelle Ho, Kathleen L. McInnes, Doerte Jakob, Jason Evans, Gabriele Villarini, and Hayley J. Fowler
Hydrology and Earth System Sciences, Volume 28, Issue 5, March 2024; https://doi.org/10.5194/hess-28-1251-2024

Creation of a structured solar cell material dataset and performance prediction using large language models

Tong Xie, Yuwei Wan, Yufei Zhou, Wei Huang, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex
Patterns, Volume 5, Issue 5, March 2024; https://doi.org/10.1016/j.patter.2024.100955

Agricultural water accounting: Complementing a governance monitoring schema with remote sensing calculations at different scales

Ignacio Fuentes, R. Willem Vervoort, James McPhee, Luis A. Reyes Rojas
Agricultural Water Management, Volume 292, March 2024; https://doi.org/10.1016/j.agwat.2024.108676

A unified machine learning framework for basketball team roster construction: NBA and WNBA

Yuhao Ke, Ranran Bian, Rohitash Chandra
Applied Soft Computing, Volume 153, March 2024; https://doi.org/10.1016/j.asoc.2024.111298

A Bayesian hierarchical model for the inference between metal grade with reduced variance: Case studies in porphyry Cu deposits

Yufu Niu, Mark Lindsay, Peter Coghill, Richard Scalzo, Lequn Zhang
Geoscience Frontiers, Volume 15, Issue 2, March 2024; https://doi.org/10.1016/j.gsf.2023.101767

ReefCoreSeg: A clustering-based framework for multi-source data fusion for segmentation of reef cores

Ratneel Deo, Jody M. Webster, Tristan Salles, Rohitash Chandra
IEEE Access, December 2023; https://doi.org/10.1109/ACCESS.2023.3341156

Out-of-distribution Detection Learning with Unreliable Out-of-distribution Sources

Haotian Zheng, Qizhou Wang, Zhen Fang, Xiaobo Xia, Feng Liu, Tongliang Liu, Bo Han
arXiv preprint, December 2023; https://doi.org/10.48550/arXiv.2311.03236

Landscape dynamics and the Phanerozoic diversification of the biosphere

Tristan Salles, Laurent Husson, Manon Lorcery, Beatriz Hadler Boggiani
Nature, November 2023; https://doi.org/10.1038/s41586-023-06777-z

DeepGR4J: A deep learning hybridization approach for conceptual rainfall-runoff modelling

Arpit Kapoor, Sahani Pathiraja, Lucy Marshall, Rohitash Chandra
Environmental Modelling & Software, Volume 169, November 2023; https://doi.org/10.1016/j.envsoft.2023.105831

Opinion Mining by Convolutional Neural Networks for Maximizing Discoverability of Nanomaterials

Tong Xie, Yuwei Wan, Haoran Wang, Ina Østrøm, Shaozhou Wang, Mingrui He, Rong Deng, Xinyuan Wu, Clara Grazian, Chunyu Kit, Bram Hoex
Journal of Chemical Information and Modeling, November 2023; https://doi.org/10.1021/acs.jcim.3c00746

Tractable skew-normal approximations via matching

Jackson Zhou, Clara Grazian, John T. Ormerod
Journal of Statistical Computation and Simulation, November 2023; https://doi.org/10.1080/00949655.2023.2277885

Influence of resampling techniques on Bayesian network performance in predicting increased algal activity

Maryam Zeinolabedini Rezaabad, Heather Lacey, Lucy Marshall, Fiona Johnson
Water Research, Volume 244, October 2023; https://doi.org/10.1016/j.watres.2023.120558

Fast Expectation Propagation for Heteroscedastic, Lasso-Penalized, and Quantile Regression

Jackson Zhou, John T. Ormerod, Clara Grazian
Journal of Machine Learning Research, Volume 24, October 2023; https://www.jmlr.org/papers/v24/23-0104.html

Effects of pressure on the structure of partially premixed turbulent diffusion flames: Calculations using MMC-LES

Saeed Aldawsari, Sebastian Galindo-Lopez, Matthew J. Cleary, Assaad R. Masri
Combustion and Flame, Volume 256, October 2023; https://doi.org/10.1016/j.combustflame.2023.112991

InstanT: Semi-supervised Learning with Instance-dependent Thresholds

Muyang Li, Runze Wu, Haoyu Liu, Jun Yu, Xun Yang, Bo Han, Tongliang Liu
arXiv preprint, October 2023; https://doi.org/10.48550/arXiv.2310.18910

FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning

Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
arXiv preprint, October 2023; https://doi.org/10.48550/arXiv.2310.16412

Diversified Outlier Exposure for Out-of-Distribution Detection via Informative Extrapolation

Jianing Zhu, Geng Yu, Jiangchao Yao, Tongliang Liu, Gang Niu, Masashi Sugiyama, Bo Han
arXiv preprint, October 2023; https://doi.org/10.48550/arXiv.2310.13923

FedFed: Feature Distillation against Data Heterogeneity in Federated Learning

Zhiqin Yang, Yonggang Zhang, Yu Zheng, Xinmei Tian, Hao Peng, Tongliang Liu, Bo Han
arXiv preprint, October 2023; https://doi.org/10.48550/arXiv.2310.05077

PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels

Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples

Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Late Stopping: Avoiding Confidently Learning from Mislabeled Examples

Suqin Yuan, Lei Feng, Tongliang Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Holistic Label Correction for Noisy Multi-Label Classification

Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization

Zhuo Huang, Miaoxi Zhu, Xiaobo Xia, Li Shen, Jun Yu, Chen Gong, Bo Han, Bo Du, Tongliang Liu
Proceedings of the IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), 2023

Examining past and projecting future: an 800-year streamflow reconstruction of the Australian Murray river

P A Higgins, J G Palmer, M S Andersen, C S M Turney, F Johnson, K Allen, D Verdon-Kidd, E R Cook
Environmental Research Letters, Volume 18, September 2023; https://doi.org/10.1088/1748-9326/acf8d9

HumanMAC: Masked Motion Completion for Human Motion Prediction

Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu
arXiv preprint, August 2023; https://doi.org/10.48550/arXiv.2302.03665

Exploring Model Misspecification in Statistical Finite Elements via Shallow Water Equations

Connor Duffin, Paul Branson, Matt Rayson, Mark Girolami, Edward Cripps, Thomas Stemler
arXiv preprint, July 2023; https://doi.org/10.48550/arXiv.2307.05334

Non-stationarity in extreme rainfalls across Australia

Lalani Jayaweera, Conrad Wasko, Rory Nathan, Fiona Johnson
Journal of Hydrology, Volume 624, September 2023; https://doi.org/10.1016/j.jhydrol.2023.129594

Extreme events in the multi-proxy South Pacific drought atlas

Philippa Higgins, Jonathan Palmer, Martin Andersen, Christian Turney, Fiona Johnson
Climatic Change, Volume 176, July 2023; https://doi.org/10.1007/s10584-023-03585-2

An application of copulas to OPEC’s changing influence on fossil fuel prices

Clara Grazian, A. McInnes
Econometric Reviews, Volume 42, July 2023; https://doi.org/10.1080/07474938.2023.2222637

Do Derived Drought Indices Better Characterize Future Drought Change?

Ze Jiang, Fiona Johnson, Ashish Sharma
Earth’s Future, Volume 11, Issue 7, July 2023; https://doi.org/10.1016/j.jhydrol.2023.129594

Adaptively switching between a particle marginal Metropolis-Hastings and a particle Gibbs kernel in SMC(2)

Imke Botha, Robert Kohn, Leah South, Christopher Drovandi
arXiv preprint, July 2023; https://doi.org/10.48550/arXiv.2307.11553

A review of globally available data sources for modelling the Water-Energy-Food Nexus

Jack Lodge, Andrew Dansie, Fiona Johnson
Earth-Science Reviews, Volume 243, August 2023; https://doi.org/10.1016/j.jhydrol.2023.129594

Automatically adapting the number of state particles in SMC(2)

Imke Botha, Robert Kohn, Leah South & Christopher Drovandi
Statistics and Computing, Volume 33, May 2023; https://doi.org/10.1007/s11222-023-10250-2

A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain

Ze Jiang, Fiona Johnson
Monthly Weather Review, April 2023; https://doi.org/10.1016/j.jhydrol.2023.129594

Large Language Models as Master Key: Unlocking the Secrets of Materials Science with GPT

Tong Xie, Yuwei Wan, Wei Huang, Yufei Zhou, Yixuan Liu, Qingyuan Linghu, Shaozhou Wang, Chunyu Kit, Clara Grazian, Wenjie Zhang, Bram Hoex
arXiv preprint, April 2023; https://doi.org/10.48550/arXiv.2304.02213

Particle Mean Field Variational Bayes

Minh-Ngoc Tran, Paco Tseng, Robert Kohn
arXiv preprint, May 2023; https://doi.org/10.48550/arXiv.2303.13930

Wasserstein Gaussianization and Efficient Variational Bayes for Robust Bayesian Synthetic Likelihood

Nhat-Minh Nguyen, Minh-Ngoc Tran, Christopher Drovandi, David Nott
arXiv preprint, May 2023; https://doi.org/10.48550/arXiv.2305.14746

Verifying model performance using validation of Pareto solutions

N. Harvey, L. Marshall, R.W. Vervoort
Journal of Hydrology, Volume 621, June 2023; https://doi.org/10.1016/j.jhydrol.2023.129594

Cyclone trajectory and intensity prediction with uncertainty quantification using variational recurrent neural networks

Arpit Kapoor, Anshul Negi, Lucy Marshall, Rohitash Chandra
Environmental Modelling & Software, Volume 162, April 2023; https://doi.org/10.1016/j.envsoft.2023.105654

Bayesian neural networks via MCMC: a Python-based tutorial

Rohitash Chandra, Royce Chen, Joshua Simmons
arXiv preprint, April 2023; https://doi.org/10.48550/arXiv.2304.02595

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style

Zhuo Huang, Xiaobo Xia, Li Shen, Bo Han, Mingming Gong, Chen Gong, Tongliang Liu
arXiv preprint, April 2023; https://doi.org/10.48550/arXiv.2207.03162

Combating Exacerbated Heterogeneity for Robust Models in Federated Learning

Jianing Zhu, Jiangchao Yao, Tongliang Liu, Quanming Yao, Jianliang Xu, Bo Han
arXiv preprint, March 2023; https://doi.org/10.48550/arXiv.2303.00250

Spatio-temporal stick-breaking process

Clara Grazian
arXiv preprint, March 2023; https://doi.org/10.48550/arXiv.2303.17177

Hundred million years of landscape dynamics from catchment to global scale

Tristan Salles, Laurent Husson, Patrice Rey, Claire Mallard, Sabin Zahirovic, Beatriz Hadler Boggiani, Nicolas Coltice, Maëlis Arnould
SCIENCE, Vol 379, Issue 6635; https://doi.org/10.1126/science.add2541

Remote sensing to detect harmful algal blooms in inland waterbodies

Shuang Liu, William Glamore, Bojan Tamburic, Abigail Morrow, Fiona Johnson
Science of The Total Environment, Vol. 851, Part 1, December 2022; https://doi.org/10.1016/j.scitotenv.2022.158096

Estimating Noise Transition Matrix with Label Correlations for Noisy Multi-Label Learning

Shikun Li, Xiaobo Xia, Hansong Zhang, Yibing Zhan, Shiming Ge, Tongliang Liu
Proceedings of the 39th International Conference on Machine Learning, 2022

Assessing the impact of conceptual mineral systems uncertainty on prospectivity predictions

Mark D. Lindsay, Agnieszka M. Piechocka, Mark W Jessell, Richard Scalzo, Jeremie Giraud, Guillaume Pirot, Edward Cripps
Geoscience Frontiers, Vol. 13, Issue 6, November 2022; https://doi.org/10.1016/j.gsf.2022.101435

Bayesian neuroevolution using distributed swarm optimization and tempered MCMC

Arpit Kapoor, Eshwar Nukala, Rohitash Chandra
Applied Soft Computing, Vol. 129, Issue 6, November 2022; https://doi.org/10.1016/j.asoc.2022.109528

Towards Lightweight Black-Box Attacks against Deep Neural Networks

Chenghao Sun, Yonggang Zhang, Wan Chaoqun, Qizhou Wang, Ya Li, Tongliang Liu, Bo Han, Xinmei Tian
Proceedings of the 39th International Conference on Machine Learning, 2022; https://doi.org/10.48550/arXiv.2209.14826

Preserved intercratonic lithosphere reveals Proterozoic assembly of Australia

Yongjun Lu, Michael T.D. Wingate, Robert H. Smithies, Klaus Gessner, Simon P. Johnson, Anthony I.S. Kemp, David E. Kelsey, Peter W. Haines, David McB. Martin, Laure Martin, Mark Lindsay
Geology, Vol. 50, Issue 10, August 2022; https://doi.org/10.1130/G50256.1

Sedimentary basins reduce stability of Antarctic ice streams through groundwater feedbacks

Lu Li, Alan R. A. Aitken, Mark D. Lindsay, and Bernd Kulessa
Nature Geoscience, 15, 645–650, 2022; https://doi.org/10.1038/s41561-022-00992-5

Estimating instance-dependent bayes-label transition matrix using a deep neural network

Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
Proceedings of the 39th International Conference on Machine Learning, 2022; https://doi.org/10.48550/arXiv.2105.13001

Modeling Adversarial Noise for Adversarial Training

Dawei Zhou, Nannan Wang, Bo Han, Tongliang Liu
Proceedings of the 39th International Conference on Machine Learning, 2022; https://doi.org/10.48550/arXiv.2109.09901

A synthetic likelihood approach for intractable markov random fields

Wanchuang Zhu, Yanan Fan
Computational Statistics, Vol. 37, Issue 3, July 2022; https://doi.org/10.1007/s00180-022-01256-x

Detecting Poisoning Nodes in Federated Learning by Ranking Gradients

Wanchuang Zhu, Benjamin ZH Zhao, Simon Luo, Ke Deng
Paper accepted in NeurIPS 2021 workshop

Distributed Bayesian optimisation framework for deep neuroevolution

Rohitash Chandra, Animesh Tiwari
Neurocomputing, Vol. 470, January 2022; https://doi.org/10.1016/j.neucom.2021.10.045

Bayesian LSTM with Stochastic Variational Inference for Estimating Model Uncertainty in Process-based Hydrological Models

Dayang Li, Lucy Marshall, Zhongmin Liang, Ashish Sharma, Yan Zhou
Water Resources Research, 09 September 2021; https://doi.org/10.1029/2021WR029772

‘You’ll Never Get Cultural Competence in Science’: An Australian Perspective on Integrating Cultural Competence into Science Teaching Via Cultural Accountability

Rebecca Cross, Rosanne Quinnell, Tina Bell, Paul Rhodes, Zsuzsanna Dancso, Thomas Hubble, Glenda Wardle, Melinda Lewis, Alice Motion, Dominic Murphy, Jaime Gongora
International Journal of Innovation in Science and Mathematics Education. Vol 29, No 3 (2021); http://dx.doi.org/10.30722/IJISME.29.03.005

Transboundary river basins: Scenarios of hydropower development and operation under extreme climate conditions

Kongmeng Ly, Graciela Metternicht, Lucy Marshall
Science of The Total Environment. 23 August 2021; https://doi.org/10.1016/j.scitotenv.2021.149828

Blockworlds 0.1.0: A demonstration of anti-aliased geophysics for probabilistic inversions of implicit and kinematic geological models

Richard Scalzo, Mark Lindsay, Mark Jessell, Guillaume Pirot, Jeremie Giraud, Edward Cripps, Sally Cripps
Geoscientific Model Development. Preprint, currently under review; https://doi.org/10.5194/gmd-2021-187

SMOTified-GAN for class imbalanced pattern classification problems

Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
arXiv:2108.03235 [cs.LG]

Daily time series of river water levels derived from a seasonal linear model using multisource satellite products under uncertainty

Hung T. Pham, Lucy Marshall, Fiona Johnson
Journal of Hydrology. 5 August 2021; https://doi.org/10.1016/j.jhydrol.2021.126783

Phenotypic plasticity masks range- wide genetic differentiation for vegetative but not reproductive traits in a short- lived plant

Jesus Villellas, Johan Ehrlén, Elizabeth E. Crone, Glenda M. Wardle, et al.
Ecology Letters. 2021;00:1–16; https://doi.org/10.1111/ele.13858

Predicting the emplacement of Cordilleran porphyry copper systems using a spatio-temporal machine learning model

Julian Diaz-Rodriguez, R. Dietmar Müller, Rohitash Chandra
Ore Geology Reviews. Volume 137, October 2021, 104300; https://doi.org/10.1016/j.oregeorev.2021.104300

Partition-Mallows Model and Its Inference for Rank Aggregation

Wanchuang Zhu, Yingkai Jiang, Jun S. Liu, Ke Deng
Journal of the American Statistical Association. 28 May 2021; https://doi.org/10.1080/01621459.2021.1930547

Volume and uncertainty estimates of on-farm reservoirs using surface reflectance and LiDAR data

Ignacio Fuentes, Richard Scalzo, Willem Vervoort
Environmental Modelling and Software. Volume 143, 2021; https://doi.org/10.1016/j.envsoft.2021.105095

Quantifying input error in hydrologic modeling using the Bayesian error analysis with reordering (BEAR) approach

Xia Wu, Lucy Marshall, Ashish Sharma
Journal of Hydrology. Volume 598, July 2021; https://doi.org/10.1016/j.jhydrol.2021.126202

Dynamic models using score copula innovations

Landan Zhang, Michael K. Pitt, Robert Kohn
April 2021; https://doi.org/10.48550/arXiv.2104.00997

Structural, petrophysical and geological constraints in potential field inversion using the Tomofast-x v1.0 open-source code

Jeremie Giraud, Vitaliy Ogarko, Roland Martin, Mark Jessell, Mark Lindsay
Geoscientific Model Development. Discuss. [preprint], https://doi.org/10.5194/gmd-2021-14, in review, 2021.

Affordance Transfer Learning for Human-Object Interaction Detection

Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao
Accepted to 2021 Conference on Computer Vision and Pattern Recognition

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

Generalization Bounds of Multitask Learning From Perspective of Vector-Valued Function Learning

Chao Zhang , Dacheng Tao, Tao Hu, Bingchen Liu
IEEE Transactions on Neural Networks and Learning Systems, Vol. 32, No.5, May 2021; DOI: 10.1109/TNNLS.2020.2995428

Revisiting Bayesian Autoencoders with MCMC

Rohitash Chandra, Mahir Jain, Manavendra Maharana, Pavel N. Krivitsky
arXiv:2104.05915 [cs.LG]

Generalization of level-set inversion to an arbitrary number of geological units in a regularized least-squares framework

Jérémie Giraud, Mark Lindsay, Mark Jessell
Geophysics. 13 April 2021; https://doi.org/10.1190/geo2020-0263.1

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

Targeted Attention Attack on Deep Learning Models in Road Sign Recognition

Xinghao Yang , Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao
IEEE Internet of Things Journal, Vol. 8, No.6, March 15 2021; DOI: 10.1109/JIOT.2020.3034899

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.

Recursive Context Routing for Object Detection

Zhe Chen, Jing Zhang, Dacheng Tao
International Journal of Computer Vision (2021), 129:142–160; https://doi.org/10.1007/s11263-020-01370-7

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

A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection

Zhe Chen, Wanli Ouyang, Tongliang Liu, Dacheng Tao
International Journal of Computer Vision (2021), 129:1121–1138; https://doi.org/10.1007/s11263-020-01412-0

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.

Short-Term and Long-Term Context Aggregation Network for Video Inpainting

Ang Li, Shanshan Zhao, Xingjun Ma, Mingming Gong, Jianzhong Qi, Rui Zhang, Dacheng Tao, Ramamohanarao Kotagiri
European Conference on Computer Vision. Computer Vision – ECCV 2020 pp 728-743; https://doi.org/10.1007/978-3-030-58548-8_42

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