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34 papers · 1 filter
Acquisition-Independent Deep Learning for Quantitative MRI Parameter Estimation using Neural Controlled Differential Equations
Daan Kuppens, Sebastiano Barbieri, Daisy van den Berg +4
Deep learning has proven to be a suitable alternative to least-squares (LSQ) fitting for parameter estimation in various quantitative MRI (QMRI) models. However, current deep learn…
Superconductivity in Substitutional Ga-Hyperdoped Ge Epitaxial Thin Films
Julian A. Steele, Patrick J. Strohbeen, Carla Verdi +12
Doping-induced superconductivity in group IV elements may enable quantum functionalities in material systems accessible with well-established semiconductor technologies. Non-equili…
Random walk models in the life sciences: including births, deaths and local interactions
Michael J. Plank, Matthew J. Simpson, Ruth E. Baker
Random walks and related spatial stochastic models have been used in a range of application areas including animal and plant ecology, infectious disease epidemiology, developmental…
: A Method to Extract Event Logs for Object-Centric Processes
Jia Wei, Chun Ouyang, Arthur ter Hofstede +2
Real-world processes involve multiple object types with intricate interrelationships. Traditional event logs (in XES format), which record process execution centred around the case…
Dynamic Learning Rate for Deep Reinforcement Learning: A Bandit Approach
Henrique Donâncio, Antoine Barrier, Leah F. South +1
In deep Reinforcement Learning (RL), the learning rate critically influences both stability and performance, yet its optimal value shifts during training as the environment and pol…
Level set-based inverse homogenisation of three-dimensional piezoelectric materials
Zachary J. Wegert, Anthony P. Roberts, Vivien J. Challis
In this paper we use memory-distributed level set-based topology optimisation to design three-dimensional periodic piezoelectric materials with enhanced properties. We compare and…