Andrew Nam

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 6

Top Topics

Pareto Optimality

Real Valued Time Series

Symbolic Representation

Speech Recognition

Top Venues

Proc. Natl. Acad. Sci. USA

Publications

Andrew Nam, Christopher Hughes, Thomas Icard, Tobias Gerstenberg
Show and tell: Learning causal structures from observations and explanations. CogSci (2023)
Andrew Nam, Eric Elmoznino, Nikolay Malkin, Chen Sun, Yoshua Bengio, Guillaume Lajoie
Discrete, compositional, and symbolic representations through attractor dynamics. CoRR (2023)
Congning Ni, Jonathan Hughes, Andrew Nam, Zhijun Yin
Identifying Posts from Reddit Talking About ADRD Caring Experiences Using Machine Learning. AMIA (2021)
Allison Koenecke, Andrew Nam, Emily Lake, Joe Nudell, Minnie Quartey, Zion Mengesha, Connor Toups, John R. Rickford, Dan Jurafsky, Sharad Goel
Racial disparities in automated speech recognition. Proc. Natl. Acad. Sci. USA 117 (14) (2020)
Yao Yang, Andrew Nam, Mohamad M. Nasr-Azadani, Teresa Tung
Resource-Aware Pareto-Optimal Automated Machine Learning Platform. CoRR (2020)
Tom J. Zajdel, Andrew Nam, Jove Yuan, Vikram R. Shirsat, Behzad Rad, Michel M. Maharbiz
Applying machine learning to the flagellar motor for biosensing. EMBC (2018)