neural networks research group
areas
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people
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projects
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demos
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publications
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software/data
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Austin Waters
Ph.D. Student
Austin's research is in statistical machine learning and machine perception. He is currently working on nonparametric topic models that can learn structure in corpora of non-text documents such as images, videos, or audio.
Email:
austin [at] cs utexas edu
Homepage:
http://www.cs.utexas.edu/~austin/
Publications
GRADE: Machine Learning Support for Graduate Admissions
Austin Waters, Risto Miikkulainen
To Appear In
Innovative Applications in Artificial Intelligence
, 2013.
2013
Spherical Topic Models
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney
In
Proceedings of the 27th International Conference on Machine Learning (ICML 2010)
, 2010.
2010
Spherical Topic Models
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney
In
NIPS'09 workshop: Applications for Topic Models: Text and Beyond
, 2009.
2009
Areas of Interest
Supervised Learning
Unsupervised Learning, Clustering, and Self-Organization