← Search

Timothy Rogers

2 accepted papers

2024

Simulating Opinion Dynamics with Networks of LLM-based Agents

NAACL 2024findings

Accurately simulating human opinion dynamics is crucial for understanding a variety of societal phenomena, including polarization and the spread of misinformation. However, the agent-based models (ABMs) commonly used for such simulations often over-simplify human behavior. We propose a new approach…

2016

Representational Similarity Learning with Application to Brain Networks

ICML 2016poster

Representational Similarity Learning (RSL) aims to discover features that are important in representing (human-judged) similarities among objects. RSL can be posed as a sparsity-regularized multi-task regression problem. Standard methods, like group lasso, may not select important features if they a…

Cited by 33SourcePDFScholar