3 papers
cs.LG2025
A physics informed neural network approach to simulating ice dynamics governed by the shallow ice approximation
Kapil Chawla, William Holmes
In this article we develop a Physics Informed Neural Network (PINN) approach to simulate ice sheet dynamics governed by the Shallow Ice Approximation. This problem takes the form o…
cs.CR2024
Applying Action Masking and Curriculum Learning Techniques to Improve Data Efficiency and Overall Performance in Operational Technology Cyber Security using Reinforcement Learning
Alec Wilson, William Holmes, Ryan Menzies +1
In previous work, the IPMSRL environment (Integrated Platform Management System Reinforcement Learning environment) was developed with the aim of training defensive RL agents in a…
math.NA2024
From Obstacle Problems to Neural Insights: Feed Forward Neural Network Modeling of Ice Thickness
Kapil Chawla, William Holmes, Roger Temam
In this study, we integrate the established obstacle problem formulation from ice sheet modeling with cutting-edge deep learning methodologies to enhance ice thickness predictions,…