Mark Coletti

According to our database, Mark Coletti authored at least 28 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Cross-Facility Workflows Orchestration through Distributed Automation.

Tyler J. Skluzacek, Renan Souza, Mark Coletti, Frédéric Suter, Rafael Ferreira da Silva

Proceedings of the Practice and Experience in Advanced Research Computing 2024: Human Powered Computing, 2024

Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search.

Mark Coletti, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok

Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023

Predicted structural proteome of <i>Sphagnum divinum</i> and proteome-scale annotation.

Russell B. Davidson, Mark Coletti, Mu Gao, Bryan Piatkowski, Avinash Sreedasyam, Farhan Quadir, David J. Weston, Jeremy Schmutz, Jianlin Cheng, Jeffrey Skolnick, Jerry M. Parks, Ada Sedova

Bioinform., August, 2023

Avoiding excess computation in asynchronous evolutionary algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Chathika Gunaratne, Kenneth A. De Jong

Expert Syst. J. Knowl. Eng., June, 2023

Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II.

Mark Coletti, Ada Sedova, Rajni Chahal, Luke Gibson, Santanu Roy, Vyacheslav Bryantsev

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing.

Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok

Proceedings of the 2023 International Conference on Neuromorphic Systems, 2023

2022

Research Software Engineering at Oak Ridge National Laboratory.

Addi Malviya-Thakur, David E. Bernholdt, William F. Godoy, Gregory R. Watson, Mathieu Doucet, Mark A. Coletti, David M. Rogers, Marshall T. McDonnell, Jay Jay Billings, Barney Maccabe

Comput. Sci. Eng., 2022

Neuromorphic Computing for Scientific Applications.

Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman

Proceedings of the IEEE/ACM Redefining Scalability for Diversely Heterogeneous Architectures Workshop, 2022

Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer.

Mu Gao, Mark Coletti, Russell B. Davidson, Ryan Prout, Subil Abraham, Benjamín Hernández, Ada Sedova

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Training reinforcement learning models via an adversarial evolutionary algorithm.

Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton

Proceedings of the Workshop Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Avoiding Excess Computation in Asynchronous Evolutionary Algorithms.

Eric O. Scott, Mark Coletti, Catherine D. Schuman, Bill Kay, Shruti R. Kulkarni, Maryam Parsa, Kenneth A. De Jong

Proceedings of the Advances in Computational Intelligence Systems, 2021

Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing.

Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Quantitative Evaluation of Autonomous Driving in CARLA.

Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

Diagnosing autonomous vehicle driving criteria with an adversarial evolutionary algorithm.

Mark A. Coletti, Shang Gao, Spencer Paulissen, Nicholas Quentin Haas, Robert M. Patton

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution.

Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2020

Global Partitioning Elevation Normalization Applied to Building Footprint Prediction.

Alexander J. Fafard, Jan van Aardt, Mark Coletti, David L. Page

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit.

Mark Coletti, Alex Fafard, David Page

IBM J. Res. Dev., 2020

Library for evolutionary algorithms in Python (LEAP).

Mark Coletti, Eric O. Scott, Jeffrey K. Bassett

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer.

Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose

Concurr. Comput. Pract. Exp., 2019

Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit.

Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose

Proceedings of the Third IEEE/ACM Workshop on Deep Learning on Supercomputers, 2019

2012

Towards Validating a Model of Households and Societies in East Africa.

William G. Kennedy, Chenna Reddy Cotla, Tim Gulden, Mark Coletti, Claudio Cioffi-Revilla

Proceedings of the Advances in Computational Social Science, 2012

Analysis of Emergent Selection Pressure in Evolutionary Algorithm and Machine Learner Offspring Filtering Hybrids.

Mark Coletti, Guido Cervone

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2012

The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution model.

Mark Coletti

Proceedings of the Genetic and Evolutionary Computation Conference, 2012

2010

Assessing the Role of Metacognition in GMU BICA.

Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong

Proceedings of the Biologically Inspired Cognitive Architectures 2010, 2010

2009

Learnable evolution model performance impaired by binary tournament survival selection.

Mark Coletti

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

The relationship between evolvability and bloat.

Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong

Proceedings of the Genetic and Evolutionary Computation Conference, 2009

2002

A preliminary study of learnable evolution methodology implemented with C4.5.

Mark Coletti

Proceedings of the 2002 Congress on Evolutionary Computation, 2002

1999

Comparing Performance of the Learnable Evolution Model and Genetic Algorithms.

Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa

Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 1999), 1999