| 2026 | EUROGP | A Hybrid LLM-Coevolution Framework to Generate Abusive Tax Strategies. | Joy Sera Bhattacharya, Erik Hemberg, Una-May O'Reilly |
| 2026 | GECCO | Discrete Self-Adaptation in Competitive Coevolution for Constrained Hardware. | Steven Jorgensen, Jennifer Fairhurst, Erik Hemberg, Una-May O'Reilly |
| 2026 | GECCO | Evolutionary Computation for Tax-Minimizing Strategies in Special Economic Zones. | Andres Leguizamon, Carlos David Sanchez, Sofia Ocampo, Una-May O'Reilly, Erik Hemberg |
| 2025 | FOGA | Runtime Bounds for a Coevolutionary Algorithm on Classes of Potential Games. | Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly, Per Kristian Lehre |
| 2025 | GECCO | Evolutionary and Coevolutionary Multi-Agent Design Choices and Dynamics. | Erik Hemberg, Stephen Moskal, Una-May O'Reilly, Eric Liu, Lucille Fuller |
| 2025 | GECCO | Guiding Evolutionary AutoEncoder Training with Activation-Based Pruning Operators. | Steven Jorgensen, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly |
| 2025 | GECCO | Coevolutionary Computation for Adversarial Deep Learning. | Jamal Toutouh, Una-May O'Reilly |
| 2025 | NAACL | LLM-Supported Natural Language to Bash Translation. | Finnian Westenfelder, Erik Hemberg, Stephen Moskal, Una-May O'Reilly, Silviu Chiricescu |
| 2024 | GECCO | A Self-adaptive Coevolutionary Algorithm. | Mario Alejandro Hevia Fajardo, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly, Per Kristian Lehre |
| 2024 | GECCO | Cooperative Coevolutionary Spatial Topologies for Autoencoder Training. | Erik Hemberg, Una-May O'Reilly, Jamal Toutouh |
| 2024 | GECCO | Large Language Model-based Test Case Generation for GP Agents. | Steven Jorgensen, Giorgia Nadizar, Gloria Pietropolli, Luca Manzoni, Eric Medvet, Una-May O'Reilly, Erik Hemberg |
| 2024 | GECCO | Coevolution in Natural and Artificial Systems. | Una-May O'Reilly |
| 2024 | GECCO | Using Large Language Models for Evolutionary Search. | Una-May O'Reilly, Erik Hemberg |
| 2024 | GECCO | Coevolutionary Computation for Adversarial Deep Learning. | Jamal Toutouh, Una-May O'Reilly |
| 2023 | GECCO | Analysis of a Pairwise Dominance Coevolutionary Algorithm And DefendIt. | Per Kristian Lehre, Mario Alejandro Hevia Fajardo, Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2023 | GECCO | Genetic Programming: A Tutorial Introduction. | Una-May O'Reilly, Erik Hemberg |
| 2023 | GECCO | Semi-Supervised Learning with Coevolutionary Generative Adversarial Networks. | Jamal Toutouh, Subhash Nalluru, Erik Hemberg, Una-May O'Reilly |
| 2023 | GECCO | Coevolutionary Computation for Adversarial Deep Learning. | Jamal Toutouh, Una-May O'Reilly |
| 2023 | LAK | Investigating Student's Problem-solving Approaches in MOOCs using Natural Language Processing. | ByeongJo Kong, Erik Hemberg, Ana Bell, Una-May O'Reilly |
| 2023 | PLDI | RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms. | Michael Wang, Shashank Srikant, Malavika Samak, Una-May O'Reilly |
| 2022 | EUROGP | Exploiting Knowledge from Code to Guide Program Search. | Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly |
| 2022 | EUROGP | Synthesizing Programs from Program Pieces Using Genetic Programming and Refinement Type Checking. | Sabrina Tseng, Erik Hemberg, Una-May O'Reilly |
| 2022 | GECCO | Using domain knowledge in coevolution and reinforcement learning to simulate a logistics enterprise. | Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly |
| 2022 | GECCO | Coevolutionary generative adversarial networks for medical image augumentation at scale. | Diana Flores, Erik Hemberg, Jamal Toutouh, Una-May O'Reilly |
| 2022 | GECCO | GUI-based, efficient genetic programming for Unity3D. | Robert Gold, Andrew Haydn Grant, Erik Hemberg, Chathika Gunaratne, Una-May O'Reilly |
| 2022 | GECCO | CyberEvo: evolutionary search of knowledge-based behaviors in a cyber attack campaign. | Stephen Moskal, Erik Hemberg, Una-May O'Reilly |
| 2022 | GECCO | Coevolutionary computation for adversarial deep learning. | Jamal Toutouh, Una-May O'Reilly |
| 2022 | GECCO | Analyzing multi-agent reinforcement learning and coevolution in cybersecurity. | Matthew J. Turner, Erik Hemberg, Una-May O'Reilly |
| 2021 | EUROGP | Getting a Head Start on Program Synthesis with Genetic Programming. | Jordan Wick, Erik Hemberg, Una-May O'Reilly |
| 2021 | GECCO | Simulating a logistics enterprise using an asymmetrical wargame simulation with soar reinforcement learning and coevolutionary algorithms. | Ying Zhao, Erik Hemberg, Nate Derbinsky, Gabino Mata, Una-May O'Reilly |
| 2021 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly, Erik Hemberg |
| 2021 | GECCO | Using knowledge of human-generated code to bias the search in program synthesis with grammatical evolution. | Dirk Schweim, Erik Hemberg, Dominik Sobania, Una-May O'Reilly, Franz Rothlauf |
| 2021 | GECCO | Coevolutionary modeling of cyber attack patterns and mitigations using public datasets. | Michal Shlapentokh-Rothman, Jonathan Kelly, Avital Baral, Erik Hemberg, Una-May O'Reilly |
| 2021 | GECCO | Signal propagation in a gradient-based and evolutionary learning system. | Jamal Toutouh, Una-May O'Reilly |
| 2021 | GECCO | Coevolutionary computation for adversarial deep learning. | Jamal Toutouh, Una-May O'Reilly |
| 2021 | ICLR | Generating Adversarial Computer Programs using Optimized Obfuscations. | Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, Una-May O'Reilly |
| 2020 | CCS | The Robust Malware Detection Challenge and Greedy Random Accelerated Multi-Bit Search. | Sicco Verwer, Azqa Nadeem, Christian A. Hammerschmidt, Laurens Bliek, Abdullah Al-Dujaili, Una-May O'Reilly |
| 2020 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly, Erik Hemberg |
| 2020 | GECCO | Securing the software defined perimeter with evolutionary co-optimization. | Michal Shlapentokh-Rothman, Erik Hemberg, Una-May O'Reilly |
| 2020 | GECCO | Re-purposing heterogeneous generative ensembles with evolutionary computation. | Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2020 | ICLR | Sign Bits Are All You Need for Black-Box Attacks. | Abdullah Al-Dujaili, Una-May O'Reilly |
| 2020 | ICML | Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. | Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly |
| 2020 | PPSN | Analyzing the Components of Distributed Coevolutionary GAN Training. | Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2019 | EUROGP | Improving Genetic Programming with Novel Exploration - Exploitation Control. | Jonathan Kelly, Erik Hemberg, Una-May O'Reilly |
| 2019 | GECCO | On domain knowledge and novelty to improve program synthesis performance with grammatical evolution. | Erik Hemberg, Jonathan Kelly, Una-May O'Reilly |
| 2019 | GECCO | Introduction to genetic programming. | Una-May O'Reilly, Erik Hemberg |
| 2019 | GECCO | Spatial evolutionary generative adversarial networks. | Jamal Toutouh, Erik Hemberg, Una-May O'Reilly |
| 2019 | IM | Adversarially Adapting Deceptive Views and Reconnaissance Scans on a Software Defined Network. | Jonathan Kelly, Michael DeLaus, Erik Hemberg, Una-May O'Reilly |
| 2019 | LAK | Transfer Learning using Representation Learning in Massive Open Online Courses. | Mucong Ding, Yanbang Wang, Erik Hemberg, Una-May O'Reilly |
| 2019 | LAK | Using Detailed Access Trajectories for Learning Behavior Analysis. | Yanbang Wang, Nancy Law, Erik Hemberg, Una-May O'Reilly |
| 2018 | CCS | AST-Based Deep Learning for Detecting Malicious PowerShell. | Gili Rusak, Abdullah Al-Dujaili, Una-May O'Reilly |
| 2018 | GECCO | Adversarial co-evolution of attack and defense in a segmented computer network environment. | Erik Hemberg, Joseph R. Zipkin, Richard William Skowyra, Neal Wagner, Una-May O'Reilly |
| 2018 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2018 | GECCO | Competitive coevolutionary algorithm decision support. | Daniel Prado Sanchez, Marcos A. Pertierra, Erik Hemberg, Una-May O'Reilly |
| 2018 | SP | Adversarial Deep Learning for Robust Detection of Binary Encoded Malware. | Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O'Reilly |
| 2018 | SP | Exploring the Use of Autoencoders for Botnets Traffic Representation. | Ruggiero Dargenio, Shashank Srikant, Erik Hemberg, Una-May O'Reilly |
| 2017 | CCS | If You Can't Measure It, You Can't Improve It: Moving Target Defense Metrics. | Stjepan Picek, Erik Hemberg, Una-May O'Reilly |
| 2017 | GECCO | Investigating coevolutionary archive based genetic algorithms on cyber defense networks. | Dennis Garcia, Anthony Erb Lugo, Erik Hemberg, Una-May O'Reilly |
| 2017 | GECCO | Developing proactive defenses for computer networks with coevolutionary genetic algorithms. | Anthony Erb Lugo, Dennis Garcia, Erik Hemberg, Una-May O'Reilly |
| 2017 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2017 | GECCO | CryptoBench: benchmarking evolutionary algorithms with cryptographic problems. | Stjepan Picek, Domagoj Jakobovic, Una-May O'Reilly |
| 2017 | GECCO | cCube: a cloud microservices architecture for evolutionary machine learning classification. | Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly |
| 2017 | GECCO | Towards evolutionary machine learning comparison, competition, and collaboration with a multi-cloud platform. | Pasquale Salza, Erik Hemberg, Filomena Ferrucci, Una-May O'Reilly |
| 2017 | ICAIL | Towards Formalizing Statute Law as Default Logic through Automatic Semantic Parsing. | Marcos A. Pertierra, Sarah Lawsky, Erik Hemberg, Una-May O'Reilly |
| 2016 | GECCO | Multi-Line Batch Scheduling by Similarity. | Ignacio Arnaldo, Erik Hemberg, Una-May O'Reilly |
| 2016 | GECCO | Genetic Programming: A Tutorial Introduction. | Una-May O'Reilly |
| 2016 | GECCO | Dynamics of Adversarial Co-evolution in Tax Non-Compliance Detection. | Jacob B. Rosen, Erik Hemberg, Una-May O'Reilly |
| 2016 | IC3K | STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. | Una-May O'Reilly |
| 2016 | IJCCI | STEALTH: Modeling Coevolutionary Dynamics of Tax Evasion and Auditing. | Una-May O'Reilly |
| 2015 | CBMS | Gaussian Process-Based Feature Selection for Wavelet Parameters: Predicting Acute Hypotensive Episodes from Physiological Signals. | Franck Dernoncourt, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2015 | GECCO | Building Predictive Models via Feature Synthesis. | Ignacio Arnaldo, Una-May O'Reilly, Kalyan Veeramachaneni |
| 2015 | GECCO | Genetic Programming: A Tutorial Introduction. | Una-May O'Reilly |
| 2015 | ICAIL | Tax non-compliance detection using co-evolution of tax evasion risk and audit likelihood. | Erik Hemberg, Jacob B. Rosen, Geoff Warner, Sanith Wijesinghe, Una-May O'Reilly |
| 2015 | IJCAI | Copula Graphical Models for Wind Resource Estimation. | Kalyan Veeramachaneni, Alfredo Cuesta-Infante, Una-May O'Reilly |
| 2015 | PLDI | Autotuning algorithmic choice for input sensitivity. | Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe |
| 2014 | CBMS | Large-Scale Methodological Comparison of Acute Hypotensive Episode Forecasting Using MIMIC2 Physiological Waveforms. | Yongwook Bryce Kim, Joohyun Seo, Una-May O'Reilly |
| 2014 | EUROGP | Flash: A GP-GPU Ensemble Learning System for Handling Large Datasets. | Ignacio Arnaldo, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2014 | EUROGP | Behavioral Search Drivers for Genetic Programing. | Krzysztof Krawiec, Una-May O'Reilly |
| 2014 | EUROGP | Building a Stage 1 Computer Aided Detector for Breast Cancer Using Genetic Programming. | Conor Ryan, Krzysztof Krawiec, Una-May O'Reilly, Jeannie Fitzgerald, David Medernach |
| 2014 | GECCO | Multiple regression genetic programming. | Ignacio Arnaldo, Krzysztof Krawiec, Una-May O'Reilly |
| 2014 | GECCO | Behavioral programming: a broader and more detailed take on semantic GP. | Krzysztof Krawiec, Una-May O'Reilly |
| 2014 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2014 | GECCO | Women@GECCO 2014. | Una-May O'Reilly, Anna Esparcia-Alczar, Anne Auger, Carola Doerr, Anik Ekrt, Gabriela Ochoa |
| 2014 | GECCO | A continuous developmental model for wind farm layout optimization. | Dennis Wilson, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly, Herv Luga |
| 2013 | AIED | Developing Data Standards and Systems for MOOC Data Science. | Kalyan Veeramachaneni, Franck Dernoncourt, Colin Taylor, Zachary A. Pardos, Una-May O'Reilly |
| 2013 | FOGA | Introducing graphical models to analyze genetic programming dynamics. | Erik Hemberg, Constantin Berzan, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2013 | GECCO | Imprecise selection and fitness approximation in a large-scale evolutionary rule based system for blood pressure prediction. | Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly |
| 2013 | GECCO | Efficient training set use for blood pressure prediction in a large scale learning classifier system. | Erik Hemberg, Kalyan Veeramachaneni, Franck Dernoncourt, Mark Wagy, Una-May O'Reilly |
| 2013 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2013 | GECCO | Learning regression ensembles with genetic programming at scale. | Kalyan Veeramachaneni, Owen Derby, Dylan Sherry, Una-May O'Reilly |
| 2013 | GECCO | On learning to generate wind farm layouts. | Dennis Wilson, Emmanuel Awa, Sylvain Cussat-Blanc, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2013 | SMC | Modeling Service Execution on Data Centers for Energy Efficiency and Quality of Service Monitoring. | Monica Vitali, Una-May O'Reilly, Kalyan Veeramachaneni |
| 2012 | CASES | Siblingrivalry: online autotuning through local competitions. | Jason Ansel, Maciej Pacula, Yee Lok Wong, Cy P. Chan, Marek Olszewski, Una-May O'Reilly, Saman P. Amarasinghe |
| 2012 | CEC | Optimizing energy output and layout costs for large wind farms using particle swarm optimization. | Kalyan Veeramachaneni, Markus Wagner, Una-May O'Reilly, Frank Neumann |
| 2012 | GECCO | Autoconstructive evolution for structural problems. | Kyle Ira Harrington, Lee Spector, Jordan B. Pollack, Una-May O'Reilly |
| 2012 | GECCO | An investigation of local patterns for estimation of distribution genetic programming. | Erik Hemberg, Kalyan Veeramachaneni, James McDermott, Constantin Berzan, Una-May O'Reilly |
| 2012 | GECCO | Graphical models and what they reveal about GP when it solves a symbolic regression problem. | Erik Hemberg, Kalyan Veeramachaneni, Una-May O'Reilly |
| 2012 | GECCO | The max problem revisited: the importance of mutation in genetic programming. | Timo Ktzing, Andrew M. Sutton, Frank Neumann, Una-May O'Reilly |
| 2012 | GECCO | Genetic programming needs better benchmarks. | James McDermott, David Robert White, Sean Luke, Luca Manzoni, Mauro Castelli, Leonardo Vanneschi, Wojciech Jaskowski, Krzysztof Krawiec, Robin Harper, Kenneth A. De Jong, Una-May O'Reilly |
| 2012 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2011 | EUROGP | How Far Is It from Here to There? A Distance That Is Coherent with GP Operators. | James McDermott, Una-May O'Reilly, Leonardo Vanneschi, Kalyan Veeramachaneni |
| 2011 | FOGA | Computational complexity analysis of simple genetic programming on two problems modeling isolated program semantics. | Greg Durrett, Frank Neumann, Una-May O'Reilly |
| 2011 | GECCO | An efficient evolutionary algorithm for solving incrementally structured problems. | Jason Ansel, Maciej Pacula, Saman P. Amarasinghe, Una-May O'Reilly |
| 2011 | GECCO | An executable graph representation for evolutionary generative music. | James McDermott, Una-May O'Reilly |
| 2011 | GECCO | Genetic programming: a tutorial introduction. | Una-May O'Reilly |
| 2010 | EUROGP | Learning a Lot from Only a Little: Genetic Programming for Panel Segmentation on Sparse Sensory Evaluation Data. | Katya Vladislavleva, Kalyan Veeramachaneni, Una-May O'Reilly, Matt Burland, Jason Parcon |
| 2010 | GECCO | Evolutionary optimization of flavors. | Kalyan Veeramachaneni, Katya Vladislavleva, Matt Burland, Jason Parcon, Una-May O'Reilly |
| 2010 | GECCO | Knowledge mining with genetic programming methods for variable selection in flavor design. | Katya Vladislavleva, Kalyan Veeramachaneni, Matt Burland, Jason Parcon, Una-May O'Reilly |
| 2009 | GECCO | Genetic programming for quantitative stock selection. | Ying L. Becker, Una-May O'Reilly |
| 2009 | INFOCOM | An Evolutionary Approach To Inter-Session Network Coding. | Minkyu Kim, Muriel Mdard, Una-May O'Reilly, Danail Traskov |
| 2007 | DATE | Simulation-based reusable posynomial models for MOS transistor parameters. | Varun Aggarwal, Una-May O'Reilly |
| 2007 | GECCO | COSMO: a correlation sensitive mutation operator for multi-objective optimization. | Varun Aggarwal, Una-May O'Reilly |
| 2007 | GECCO | A doubly distributed genetic algorithm for network coding. | Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Mdard |
| 2007 | INFOCOM | Evolutionary Approaches To Minimizing Network Coding Resources. | Minkyu Kim, Muriel Mdard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros |
| 2006 | GECCO | Filter approximation using explicit time and frequency domain specifications. | Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly |
| 2004 | CEC | Emergent design: opportunities for agent-based and evolutionary computation. | Una-May O'Reilly |
| 2004 | EUROGP | Extending Grammatical Evolution to Evolve Digital Surfaces with Genr8. | Martin Hemberg, Una-May O'Reilly |
| 2004 | GECCO | An Interactive Artificial Ant Approach to Non-photorealistic Rendering. | Yann Semet, Una-May O'Reilly, Frdo Durand |
| 2004 | HIS | Emergent Design: Opportunities for Hybridizing Agent-Based and Evolutionary Computation. | Una-May O'Reilly |
| 2003 | EUROGP | Genetic Programming Applied to Compiler Heuristic Optimization. | Mark Stephenson, Una-May O'Reilly, Martin C. Martin, Saman P. Amarasinghe |
| 2003 | PLDI | Meta optimization: improving compiler heuristics with machine learning. | Mark Stephenson, Saman P. Amarasinghe, Martin C. Martin, Una-May O'Reilly |
| 2000 | OPODIS | Asynchronous to Synchronous transformations. | Una-May O'Reilly, Nicola Santoro |
| 1998 | AI | The Impact of External Dependency in Genetic Programming Primitives. | Una-May O'Reilly |
| 1998 | EUROGP | Where Does the Good Stuff Go, and Why? How Contextual Semantics Influences Program Structure in Simple Genetic Programming. | David E. Goldberg, Una-May O'Reilly |
| 1994 | FOGA | The Troubling Aspects of a Building Block Hypothesis for Genetic Programming. | Una-May O'Reilly, Franz Oppacher |
| 1994 | PPSN | Program Search with a Hierarchical Variable Lenght Representation: Genetic Programming, Simulated Annealing and Hill Climbing. | Una-May O'Reilly, Franz Oppacher |
| 1992 | PPSN | An Experimental Perspective on Genetic Programming. | Una-May O'Reilly, Franz Oppacher |
| 1992 | WG | The Expressiveness of Silence: Tight Bounds for Synchronous Communication of Information Using Bits and Silence. | Una-May O'Reilly, Nicola Santoro |