1 citations · 1 across the 3 of their papers we have counts for
4 papers
High-Resolution Dynamic Functional Connectivity Generation with Graph-Variate Flow Matching
Om Roy, Yashar Moshfeghi, Keith Malcolm Smith
High-resolution dynamic functional connectivity (DFC) can reveal rapidly evolving brain-network interactions, but short temporal windows yield noisy, often low-rank covariance esti…
Temporal Fact Conflicts in LLMs: Reproducibility Insights from Unifying DYNAMICQA and MULAN
Ritajit Dey, Iadh Ounis, Graham McDonald +1
Large Language Models (LLMs) often struggle with temporal fact conflicts due to outdated or evolving information in their training data. Two recent studies with accompanying datase…
Cross-Sensory Brain Passage Retrieval: Scaling Beyond Visual to Audio
Niall McGuire, Yashar Moshfeghi
Query formulation from internal information needs remains fundamentally challenging across all Information Retrieval paradigms due to cognitive complexity and physical impairments.…
Graph Variate Neural Networks
Om Roy, Yashar Moshfeghi, Keith Smith
Modelling dynamically evolving spatio-temporal signals is a prominent challenge in the Graph Neural Network (GNN) literature. Notably, GNNs assume an existing underlying graph stru…