Andrew Nam

According to our database1, Andrew Nam authored at least 9 papers between 2018 and 2025.

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Bibliography

2025
Understanding Task Representations in Neural Networks via Bayesian Ablation.
CoRR, May, 2025

Causal Head Gating: A Framework for Interpreting Roles of Attention Heads in Transformers.
CoRR, May, 2025

Using the Tools of Cognitive Science to Understand Large Language Models at Different Levels of Analysis.
CoRR, March, 2025

2023
Discrete, compositional, and symbolic representations through attractor dynamics.
CoRR, 2023

Show and tell: Learning causal structures from observations and explanations.
Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2021
Identifying Posts from Reddit Talking About ADRD Caring Experiences Using Machine Learning.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020
Racial disparities in automated speech recognition.
Proc. Natl. Acad. Sci. USA, 2020

Resource-Aware Pareto-Optimal Automated Machine Learning Platform.
CoRR, 2020

2018
Applying machine learning to the flagellar motor for biosensing.
Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018


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