neural networks research group
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Joseph Reisinger
Neural Networks Lab: Former Ph.D. Student, Undergraduate Alumni
Machine Learning Lab: Ph.D. Alumni
Joe's work with the NNRG focused on evolvability, modularity and indirect encoding in evolutionary computation. He later completed a PhD with the Machine Learning group, working on lexical semantics.
Homepage:
http://www.cs.utexas.edu/~joeraii
Projects
NEAT: Evolving Increasingly Complex Neural Network Topologies 2000 - 2011
Leveraging Evolvability in Search 2004 - 2007
Publications
     [Expand to show all 15][Minimize]
Latent Variable Models of Distributional Lexical Semantics Joseph Reisinger PhD Thesis, Department of Computer Science, University of Texas at Austin, May 2012. 2012
Cross-Cutting Models of Lexical Semantics Joseph Reisinger and Raymond Mooney In Proceedings of The Conference on Empirical Methods in Natural Language Processing (EMNLP 2011)... 2011
Fine-Grained Class Label Markup of Search Queries Joseph Reisinger and Marius Pasca In Proceedings of The 49th Annual Meeting of the Association for Computational Linguistics: Human... 2011
A Mixture Model with Sharing for Lexical Semantics Joseph Reisinger and Raymond J. Mooney In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP-2010)... 2010
Cross-cutting Models of Distributional Lexical Semantics Joseph S. Reisinger June 2010. Ph.D. proposal, Department of Computer Sciences, University of Texas at Austin. 2010
Multi-Prototype Vector-Space Models of Word Meaning Joseph Reisinger, Raymond J. Mooney In Proceedings of the 11th Annual Conference of the North American Chapter of the Association for... 2010
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
Online Kernel Selection for Bayesian Reinforcement Learning Joseph Reisinger and Peter Stone and Risto Miikkulainen In Proceedings of the Twenty-Fifth International Conference on Machine Learning, July 2008. 2008
Acquiring Evolvability through Adaptive Representations Joseph Reisinger and Risto Miikkulainen In Proceeedings of the Genetic and Evolutionary Computation Conference, 1045-1052, 2007. 2007
Coevolving Strategies for General Game Playing Joseph Reisinger, Erkin Bahceci, Igor Karpov and Risto Miikkulainen In Proceedings of the {IEEE} Symposium on Computational Intelligence and Games, 320-327, Pis... 2007
Selecting for Evolvable Representations Joseph Reisinger and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2006. 2006
Towards an Empirical Measure of Evolvability Joseph Reisinger, Kenneth O. Stanley, Risto Miikkulainen In Genetic and Evolutionary Computation Conference {(GECCO2005)} Workshop Program, 257-264, W... 2005
Evolving Reusable Neural Modules Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference, 2004. 2004
Exploiting Morphological Conventions for Genetic Reuse Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen In Proceedings of the Genetic and Evolutionary Computation Conference ({GECCO}-2004) Workshop Pr... 2004
Areas of Interest
Evolutionary Computation Neuroevolution Reinforcement Learning Game Playing
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