13 papers
TVGL-CFM:Generating and Forecasting Time-Varying Trajectories of Dynamic Networks with Conditional Flow Matching
Om Roy, Yashar Moshfeghi, Keith Malcolm Smith
Many complex systems such as brain networks, financial markets, and gene-regulatory circuits are described not by a fixed graph but by one that changes over time. A standard way to…
Covariance Density Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Graph neural networks have re-defined how we model and predict on network data but there lacks a consensus on choosing the correct underlying graph structure on which to model sign…
POW: Political Overton Windows of Large Language Models
Leif Azzopardi, Yashar Moshfeghi
Political bias in Large Language Models (LLMs) presents a growing concern for the responsible deployment of AI systems. Traditional audits often attempt to locate a model's politic…
Towards Brain Passage Retrieval -- An Investigation of EEG Query Representations
Niall McGuire, Yashar Moshfeghi
Information Retrieval (IR) systems primarily rely on users' ability to translate their internal information needs into (text) queries. However, this translation process is often un…
On Error Classification from Physiological Signals within Airborne Environment
Niall McGuire, Yashar Moshfeghi
Human error remains a critical concern in aviation safety, contributing to 70-80% of accidents despite technological advancements. While physiological measures show promise for err…
Brain-Machine Interfaces & Information Retrieval Challenges and Opportunities
Yashar Moshfeghi, Niall McGuire
The fundamental goal of Information Retrieval (IR) systems lies in their capacity to effectively satisfy human information needs - a challenge that encompasses not just the technic…