Una-May O'Reilly
Una-May O'Reilly
MIT, CSAIL, Any Scale Learning for All (ALFA) Group
Verified email at csail.mit.edu - Homepage
Cited by
Cited by
Advances in genetic programming
KE Kinnear, WB Langdon, L Spector, PJ Angeline, UM O'Reilly
MIT press, 1994
Opentuner: An extensible framework for program autotuning
J Ansel, S Kamil, K Veeramachaneni, J Ragan-Kelley, J Bosboom, ...
Proceedings of the 23rd international conference on Parallel architectures …, 2014
Meta optimization: Improving compiler heuristics with machine learning
M Stephenson, S Amarasinghe, M Martin, UM O'Reilly
ACM sigplan notices 38 (5), 77-90, 2003
Genetic programming needs better benchmarks
J McDermott, DR White, S Luke, L Manzoni, M Castelli, L Vanneschi, ...
Proceedings of the 14th annual conference on Genetic and evolutionary …, 2012
Better GP benchmarks: community survey results and proposals
DR White, J McDermott, M Castelli, L Manzoni, BW Goldman, ...
Genetic Programming and Evolvable Machines 14 (1), 3-29, 2013
The Troubling Aspects of a Building Block Hypothesis for Genetic Programming
UM O'Reilly, F Oppacher
Quantum computing applications of genetic programming
L Spector, H Barnum, HJ Bernstein, N Swamy
Advances in genetic programming 3, 135-160, 1999
An analysis of genetic programming.
UM O'Reilly
Carleton University, 1995
Likely to stop? predicting stopout in massive open online courses
C Taylor, K Veeramachaneni, UM O'Reilly
arXiv preprint arXiv:1408.3382, 2014
Evolutionary Approaches To Minimizing Network Coding Resources.
M Kim, M Médard, V Aggarwal, UM O'Reilly, W Kim, CW Ahn, M Effros
INFOCOM, 1991-1999, 2007
Program search with a hierarchical variable length representation: Genetic programming, simulated annealing and hill climbing
UM O'Reilly, F Oppacher
International Conference on Parallel Problem Solving from Nature, 397-406, 1994
Autotuning algorithmic choice for input sensitivity
Y Ding, J Ansel, K Veeramachaneni, X Shen, UM O’Reilly, ...
ACM SIGPLAN Notices 50 (6), 379-390, 2015
Sensing and manipulating built-for-human environments
R Brooks, L Aryananda, A Edsinger, P Fitzpatrick, CC Kemp, ...
International Journal of Humanoid Robotics 1 (01), 1-28, 2004
Using a distance metric on genetic programs to understand genetic operators
UM O'Reilly
1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997
Adversarial deep learning for robust detection of binary encoded malware
A Al-Dujaili, A Huang, E Hemberg, UM O’Reilly
2018 IEEE Security and Privacy Workshops (SPW), 76-82, 2018
Multiple regression genetic programming
I Arnaldo, K Krawiec, UM O'Reilly
Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014
Hybridized crossover-based search techniques for program discovery
UM O'reilly, F Oppacher
Proceedings of 1995 IEEE International Conference on Evolutionary …, 1995
On the limiting distribution of program sizes in tree-based genetic programming
R Poli, WB Langdon, S Dignum
European Conference on Genetic Programming, 193-204, 2007
Where does the good stuff go, and why? How contextual semantics influences program structure in simple genetic programming
DE Goldberg, UM O’Reilly
European Conference on Genetic Programming, 16-36, 1998
Building predictive models via feature synthesis
I Arnaldo, UM O'Reilly, K Veeramachaneni
Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015
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