1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Probabilistic Dreaming for World Models
Gavin Wong
"Dreaming" enables agents to learn from imagined experiences, enabling more robust and sample-efficient learning of world models. In this work, we consider innovations to the state…
cs.LG2025★ 1 cited
Biological Pathway Informed Models with Graph Attention Networks (GATs)
Gavin Wong, Ping Shu Ho, Ivan Au Yeung +2
Biological pathways map gene-gene interactions that govern all human processes. Despite their importance, most ML models treat genes as unstructured tokens, discarding known pathwa…
cs.CR2021
On Ensemble Learning
Mark Stamp, Aniket Chandak, Gavin Wong +1
In this paper, we consider ensemble classifiers, that is, machine learning based classifiers that utilize a combination of scoring functions. We provide a framework for categorizin…