Richard Scalzo

According to our database, Richard Scalzo authored at least 7 papers between 2018 and 2025.

Collaborative distances:

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

2025

Emergence of Computational Structure in a Neural Network Physics Simulator.

Rohan Hitchcock, Gary W. Delaney, Jonathan H. Manton, Richard Scalzo, Jingge Zhu

CoRR, April, 2025

2024

PINN-Ray: A Physics-Informed Neural Network to Model Soft Robotic Fin Ray Fingers.

Xing Wang, Joel Janek Dabrowski, Joshua Pinskier, Lois Liow, Vinoth Viswanathan, Richard Scalzo, David Howard

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

Semi-Supervising an Anomalous Universe.

David Sweeney, Alberto Krone-Martins, Peter Tuthill, Richard Scalzo

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2021

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

Ignacio Fuentes, Richard Scalzo, R. Willem Vervoort

Environ. Model. Softw., 2021

2020

<i>Bayesreef</i>: A Bayesian inference framework for modelling reef growth in response to environmental change and biological dynamics.

Jodie Pall, Rohitash Chandra, Danial Azam, Tristan Salles, Jody M. Webster, Richard Scalzo, Sally Cripps

Environ. Model. Softw., 2020

2018

Efficiency and robustness in Monte Carlo sampling of 3-D geophysical inversions with Obsidian v0.1.2: Setting up for success.

Richard Scalzo, David Kohn, Hugo K. H. Olierook, Gregory Houseman, Rohitash Chandra, Mark A. Girolami, Sally Cripps

CoRR, 2018

Computer vision-based framework for extracting geological lineaments from optical remote sensing data.

Ehsan Farahbakhsh, Rohitash Chandra, Hugo K. H. Olierook, Richard Scalzo, Chris Clark, Steven M. Reddy, R. Dietmar Müller

CoRR, 2018