72 citations · 98 across the 12 of their papers we have counts for
12 papers
: A Time-Series Foundation Model for Forecasting with Context
Lucas Meyer, Claudio Sole, Huikan Xiang +6
We present , a family of open-weights foundation models for forecasting with multivariate context. We release its first two members: and …
Differentiable Electricity-Market Clearing for Gradient-Based Planning
Luca Mungo, Maarten P. Scholl, Arnau Quera-Bofarull
Planning a large data center is difficult because a facility big enough to matter changes the electricity prices it will pay. Those prices are set by market clearing, a constrained…
A differentiable model of supply-chain shocks
Saad Hamid, José Moran, Luca Mungo +2
Modelling how shocks propagate in supply chains is an increasingly important challenge in economics. Its relevance has been highlighted in recent years by events such as Covid-19 a…
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…
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…
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…
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…
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…
Qwind3: UV line-driven accretion disc wind models for AGN feedback
Arnau Quera-Bofarull, Chris Done, Cedric G. Lacey +2
The ultraviolet (UV) bright accretion disc in active galactic nuclei (AGN) should give rise to line driving, producing a powerful wind which may play an important role in AGN feedb…
Qwind code release: a non-hydrodynamical approach to modelling line-driven winds in active galactic nuclei
Arnau Quera-Bofarull, Chris Done, Cedric Lacey +3
Ultraviolet (UV) line driven winds may be an important part of the active galactic nucleus (AGN) feedback process, but understanding their impact is hindered by the complex nature…
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Bullock, Carolina Cuesta-Lazaro, Arnau Quera-Bofarull
X-Ray image enhancement, along with many other medical image processing applications, requires the segmentation of images into bone, soft tissue, and open beam regions. We apply a…
Gravitational corrections to light propagation in a perturbed FLRW-universe and corresponding weak lensing spectra
Carolina Cuesta-Lazaro, Arnau Quera-Bofarull, Robert Reischke +1
When the gravitational lensing of the large-scale structure is calculated from a cosmological model a few assumptions enter: one assumes that the photons follow unperturbed b…