13 citations · 13 across the 6 of their papers we have counts for
6 papers
Probabilistic Prediction of Neural Dynamics via Autoregressive Flow Matching
Nicole Rogalla, Yuzhen Qin, Mario Senden +2
Forecasting neural activity in response to naturalistic stimuli remains a key challenge for understanding brain dynamics and enabling downstream neurotechnological applications. He…
Role Differentiation in a Coupled Resource Ecology under Multi-Level Selection
Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven
A group of non-cooperating agents can succumb to the \emph{tragedy-of-the-commons} if all of them seek to maximize the same resource channel to improve their viability. In nature,…
Emergence of Internal State-Modulated Swarming in Multi-Agent Patch Foraging System
Siddharth Chaturvedi, Ahmed EL-Gazzar, Marcel van Gerven
Active particles are entities that sustain persistent out-of-equilibrium motion by consuming energy. Under certain conditions, they exhibit the tendency to self-organize through co…
ABMax: A JAX-based Agent-based Modeling Framework
Siddharth Chaturvedi, Ahmed El-Gazzar, Marcel van Gerven
Agent-based modeling (ABM) is a principal approach for studying complex systems. By decomposing a system into simpler, interacting agents, agent-based modeling (ABM) allows researc…
Probabilistic Forecasting via Autoregressive Flow Matching
Ahmed ElGazzar, Marcel van Gerven
In this work, we propose FlowTime, a generative model for probabilistic forecasting of multivariate timeseries data. Given historical measurements and optional future covariates, w…
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI Modelling
Ahmed El-Gazzar, Rajat Mani Thomas, Guido van Wingen
The characterisation of the brain as a functional network in which the connections between brain regions are represented by correlation values across time series has been very popu…