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
A field guide to genetic programming
R Poli, WB Langdon, NF McPhee, JR Koza
Lulu. com, 2008
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
arXiv preprint cs/0702037, 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
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
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
Using a distance metric on genetic programs to understand genetic operators
UM O'Reilly
1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997
Hybridized crossover-based search techniques for program discovery
UM O'reilly, F Oppacher
Proceedings of 1995 IEEE International Conference on Evolutionary …, 1995
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
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
Designing nanophotonic structures using conditional deep convolutional generative adversarial networks
S So, J Rho
Nanophotonics 8 (7), 1255-1261, 2019
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