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.
GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen To Appear In AI Magazine, 2014. 2014

Infinite-Word Topic Models for Digital Media Austin Waters PhD Thesis, Department of Computer Science, The University of Texas at Austin, 2014. 2014

GRADE: Machine Learning Support for Graduate Admissions Austin Waters, Risto Miikkulainen In Proceedings of the 25th Conference on Innovative Applications of Artificial Intelligence, ... 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