activity
20182026
most citedXNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets

72 citations · 98 across the 12 of their papers we have counts for

collaborators
Showing cs.MAShow all

5 papers · 1 filter

cs.MA2025

Automatic Differentiation of Agent-Based Models

Arnau Quera-Bofarull, Nicholas Bishop, Joel Dyer +4

Agent-based models (ABMs) simulate complex systems by capturing the bottom-up interactions of individual agents comprising the system. Many complex systems of interest, such as epi…

cs.MA2024★ 2 cited

On the limits of agency in agent-based models

Ayush Chopra, Shashank Kumar, Nurullah Giray-Kuru +2

Agent-based modeling (ABM) offers powerful insights into complex systems, but its practical utility has been limited by computational constraints and simplistic agent behaviors, es…

cs.MA2024

Private Agent-Based Modeling

Ayush Chopra, Arnau Quera-Bofarull, Nurullah Giray-Kuru +2

The practical utility of agent-based models in decision-making relies on their capacity to accurately replicate populations while seamlessly integrating real-world data streams. Ye…

cs.MA2023★ 3 cited

Some challenges of calibrating differentiable agent-based models

Arnau Quera-Bofarull, Joel Dyer, Anisoara Calinescu +1

Agent-based models (ABMs) are a promising approach to modelling and reasoning about complex systems, yet their application in practice is impeded by their complexity, discrete natu…

cs.MA2023★ 1 cited

Bayesian calibration of differentiable agent-based models

Arnau Quera-Bofarull, Ayush Chopra, Anisoara Calinescu +2

Agent-based modelling (ABMing) is a powerful and intuitive approach to modelling complex systems; however, the intractability of ABMs' likelihood functions and the non-differentiab…