Austin Waters
Ph.D. Alumni
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.
Homepage:
http://www.cs.utexas.edu/~austin/
Publications
GRADE: Machine Learning Support for Graduate Admissions 2014
Austin Waters, Risto Miikkulainen, AI Magazine, Vol. 35 (2014), pp. 64-75.
Infinite-Word Topic Models for Digital Media 2014
Austin Waters, PhD Thesis, Department of Computer Science, The University of Texas at Austin.
GRADE: Machine Learning Support for Graduate Admissions 2013
Austin Waters, Risto Miikkulainen, In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence 2013.
Spherical Topic Models 2010
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond J. Mooney, In Proceedings of the 27th International Conference on Machine Learning (ICML 2010) 2010.
Spherical Topic Models 2009
Joseph Reisinger, Austin Waters, Bryan Silverthorn, and Raymond Mooney, In NIPS'09 workshop: Applications for Topic Models: Text and Beyond 2009.
Areas of Interest
Supervised Learning Unsupervised Learning, Clustering, and Self-Organization
Labs
Formerly affiliated with Neural Networks