| 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 | 705 | 2014 |
| Advances in genetic programming KE Kinnear, PJ Angeline MIT press, 1994 | 569 | 1994 |
| 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 | 381 | 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 | 315 | 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, 3-29, 2013 | 269 | 2013 |
| 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 | 209 | 2018 |
| Distributed, multi-model, self-learning platform for machine learning WD Drevo, KK Veeramachaneni, U O'reilly US Patent App. 14/598,628, 2016 | 201 | 2016 |
| The Troubling Aspects of a Building Block Hypothesis for Genetic Programming UM O'Reilly, F Oppacher | 189 | 1995 |
| Likely to stop? predicting stopout in massive open online courses C Taylor, K Veeramachaneni, UM O'Reilly arXiv preprint arXiv:1408.3382, 2014 | 182 | 2014 |
| Multiple regression genetic programming I Arnaldo, K Krawiec, UM O'Reilly Proceedings of the 2014 Annual Conference on Genetic and Evolutionary …, 2014 | 149 | 2014 |
| An analysis of genetic programming. UM O'Reilly Carleton University, 1995 | 148 | 1995 |
| 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 | 144 | 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 | 140 | 2015 |
| 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 | 137 | 2007 |
| Sensing and manipulating built-for-human environments R Brooks, L Aryananda, A Edsinger, P Fitzpatrick, CC Kemp, UM O'reilly, ... International Journal of Humanoid Robotics 1 (01), 1-28, 2004 | 121 | 2004 |
| Quantum computing applications of genetic programming L Spector, H Barnum, HJ Bernstein, N Swamy | 116 | 1999 |
| Using a distance metric on genetic programs to understand genetic operators UM O'Reilly 1997 IEEE International Conference on Systems, Man, and Cybernetics …, 1997 | 109 | 1997 |
| Building predictive models via feature synthesis I Arnaldo, UM O'Reilly, K Veeramachaneni Proceedings of the 2015 annual conference on genetic and evolutionary …, 2015 | 102 | 2015 |
| Comprehension of computer code relies primarily on domain-general executive brain regions AA Ivanova, S Srikant, Y Sueoka, HH Kean, R Dhamala, UM O'reilly, ... elife 9, e58906, 2020 | 99 | 2020 |
| Using reinforcement learning to optimize occupant comfort and energy usage in HVAC systems P Fazenda, K Veeramachaneni, P Lima, UM O'Reilly Journal of Ambient Intelligence and Smart Environments 6 (6), 675-690, 2014 | 95 | 2014 |
Erik HembergResearch Scientist, MIT CSAILVerified email at csail.mit.edu
