Eric O. Scott

28 papers A 6B 4Misc 1Journal 6Unranked 11
YearRankTypeTitle / Venue / Authors
2025 J jnl
Can LLMs Replace Humans During Code Chunking?
CoRR
Christopher Glasz, Emily Escamilla, Eric O. Scott, Anand Patel, Jacob Zimmer, Colin Diggs, Michael Doyle, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker, Parthav Poudel, Arun Sridharan, Amit Madan, Doug Wendt, William Macke, Thomas Schill
2025 J jnl
Impact of Comments on LLM Comprehension of Legacy Code.
CoRR
Rock Sabetto, Emily Escamilla, Devesh Agarwal, Sujay Kandwal, Justin F. Brunelle, Scott Rosen, Nitin Naik, Samruddhi Thaker, Eric O. Scott, Jacob Zimmer, Amit Madan, Arun Sridharan, Doug Wendt, Michael Doyle, Christopher Glasz, Jasper Phillips, William Macke, Colin Diggs, Michael Bartholf, Zachary Robin, Paul Ursino
2025 — conf
Leveraging LLMs for Legacy Code Modernization: Evaluation of LLM-Generated Documentation.
LLM4Code@ICSE
Colin Diggs, Michael Doyle, Amit Madan, Eric O. Scott, Emily Escamilla, Jacob Zimmer, Naveed Nekoo, Paul Ursino, Michael Bartholf, Zachary Robin, Anand Patel, Chris Glasz, William Macke, Paul Kirk, Jasper Phillips, Arun Sridharan, Doug Wendt, Scott Rosen, Nitin Naik, Justin F. Brunelle, Samruddhi Thaker
2024 B conf
Realistic Tax Planning with Evolutionary Algorithms.
CEC
Eric O. Scott, Anmol Srivastava, Abby Pusateri, Andy Taylor, Karen Jones, Hahnemann Ortiz
2024 B conf
Varying Difficulty of Knowledge Reuse in Benchmarks for Evolutionary Knowledge Transfer.
CEC
Eric O. Scott, Kenneth A. De Jong
2023 J jnl
Avoiding excess computation in asynchronous evolutionary algorithms.
Expert Syst. J. Knowl. Eng.
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong
2023 — conf
Evolving Deformable Mirror Control to Generate Partially Coherent Light Fields.
GECCO Companion
Daniel Younis, Thomas M. Antonsen Jr., Luke A. Johnson, Eric O. Scott, Dmitri Kaganovich, Bahman Hafizi
2023 A conf
First Complexity Results for Evolutionary Knowledge Transfer.
FOGA
Eric O. Scott, Kenneth A. De Jong
2023 — conf
Initialization Matters for Asynchronous Steady-State Evolutionary Algorithms.
GECCO Companion
Eric O. Scott, Kenneth A. De Jong
2021 — conf
Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.
UKCI
Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong
2021 B conf
Differential Spatial Representations in Hippocampal CA1 and Subiculum Emerge in Evolved Spiking Neural Networks.
IJCNN
Kexin Chen, Alexander B. Johnson, Eric O. Scott, Xinyun Zou, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar
2021 J jnl
Neuroevolution of a Recurrent Neural Network for Spatial and Working Memory in a Simulated Robotic Environment.
CoRR
Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar
2021 — conf
Neuroevolution of a recurrent neural network for spatial and working memory in a simulated robotic environment.
GECCO Companion
Xinyun Zou, Eric O. Scott, Alexander B. Johnson, Kexin Chen, Douglas A. Nitz, Kenneth A. De Jong, Jeffrey L. Krichmar
2020 Misc conf
Assisted Parameter and Behavior Calibration in Agent-Based Models with Distributed Optimization.
PAAMS
Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke
2020 A conf
Distributed, Automated Calibration of Agent-based Model Parameters and Agent Behaviors.
AAMAS
Matteo D'Auria, Eric O. Scott, Rajdeep Singh Lather, Javier Hilty, Sean Luke
2020 — conf
Library for evolutionary algorithms in Python (LEAP).
GECCO Companion
Mark Coletti, Eric O. Scott, Jeffrey K. Bassett
2019 B conf
Automating Knowledge Transfer with Multi-Task Optimization.
CEC
Eric O. Scott, Kenneth A. De Jong
2019 — conf
ECJ at 20: toward a general metaheuristics toolkit.
GECCO (Companion)
Eric O. Scott, Sean Luke
2018 J jnl
Evolving Simple Models of Diverse Intrinsic Dynamics in Hippocampal Neuron Types.
Frontiers Neuroinformatics
Siva Venkadesh, Alexander O. Komendantov, Stanislav Listopad, Eric O. Scott, Kenneth A. De Jong, Jeffrey L. Krichmar, Giorgio A. Ascoli
2018 — conf
Toward learning neural network encodings for continuous optimization problems.
GECCO (Companion)
Eric O. Scott, Kenneth A. De Jong
2017 J jnl
Multitask Evolution with Cartesian Genetic Programming.
CoRR
Eric O. Scott, Kenneth A. De Jong
2017 — conf
Multitask evolution with cartesian genetic programming.
GECCO (Companion)
Eric O. Scott, Kenneth A. De Jong
2016 A conf
An Evolutionary Framework for Replicating Neurophysiological Data with Spiking Neural Networks.
PPSN
Emily L. Rounds, Eric O. Scott, Andrew S. Alexander, Kenneth A. De Jong, Douglas A. Nitz, Jeffrey L. Krichmar
2016 A conf
Evaluation-Time Bias in Quasi-Generational and Steady-State Asynchronous Evolutionary Algorithms.
GECCO
Eric O. Scott, Kenneth A. De Jong
2016 A conf
Landscape Features for Computationally Expensive Evaluation Functions: Revisiting the Problem of Noise.
PPSN
Eric O. Scott, Kenneth A. De Jong
2015 — conf
Evaluation-Time Bias in Asynchronous Evolutionary Algorithms.
GECCO (Companion)
Eric O. Scott, Kenneth A. De Jong
2015 — conf
Learning Genetic Representations for Classes of Real-Valued Optimization Problems.
GECCO (Companion)
Eric O. Scott, Jeffrey K. Bassett
2015 A conf
Understanding Simple Asynchronous Evolutionary Algorithms.
FOGA
Eric O. Scott, Kenneth A. De Jong