Petra M. Kuhnert

According to our database, Petra M. Kuhnert authored at least 12 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Position: We need responsible, application-driven (RAD) AI research.

Sarah Hartman, Cheng Soon Ong, Julia Powles, Petra Kuhnert

CoRR, May, 2025

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional, Black-box Systems.

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Gaussian Ensemble Belief Propagation for Efficient Inference in High-Dimensional Systems.

Daniel MacKinlay, Russell Tsuchida, Daniel Edward Pagendam, Petra Kuhnert

CoRR, 2024

Resolving Ethics Trade-offs in Implementing Responsible AI.

Conrad Sanderson, Emma Schleiger, David Douglas, Petra Kuhnert, Qinghua Lu

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

A framework for modelling spatio-temporal trends in crop production using generalised additive models.

Michael J. Wellington, Roger A. Lawes, Petra M. Kuhnert

Comput. Electron. Agric., September, 2023

A Neural Emulator for Uncertainty Estimation of Fire Propagation.

Andrew Bolt, Conrad Sanderson, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

2022

Modelling Within-Season Variation in Light Use Efficiency Enhances Productivity Estimates for Cropland.

Michael J. Wellington, Petra M. Kuhnert, Luigi J. Renzullo, Roger A. Lawes

Remote. Sens., 2022

Bayesian Physics Informed Neural Networks for Data Assimilation and Spatio-Temporal Modelling of Wildfires.

Joel Janek Dabrowski, Daniel Edward Pagendam, James Hilton, Conrad Sanderson, Daniel MacKinlay, Carolyn Huston, Andrew Bolt, Petra Kuhnert

CoRR, 2022

An Emulation Framework for Fire Front Spread.

Andrew Bolt, Joel Janek Dabrowski, Carolyn Huston, Petra Kuhnert

CoRR, 2022

A Spatio-Temporal Neural Network Forecasting Approach for Emulation of Firefront Models.

Andrew Bolt, Carolyn Huston, Petra Kuhnert, Joel Janek Dabrowski, James Hilton, Conrad Sanderson

Proceedings of the Signal Processing: Algorithms, 2022

Smallset Timelines: A Visual Representation of Data Preprocessing Decisions.

Lydia R. Lucchesi, Petra M. Kuhnert, Jenny L. Davis, Lexing Xie

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Vizumap: an R package for visualising uncertainty in spatial data.

Lydia R. Lucchesi, Petra M. Kuhnert, Christopher K. Wikle

J. Open Source Softw., 2021