Mark Coletti - RankMe

30 papers A 2B 4Journal 7Unranked 17

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Efficacy of using a dynamic length representation vs. a fixed-length for neuroarchitecture search. GECCO Companion Mark Coletti, Chathika Gunaratne, Steven R. Young, Swetha Varadarajan, Robert M. Patton, Thomas E. Potok
2024	—	`conf`	Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications. SC Workshops Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver, Oscar R. Hernandez, Mark Coletti, Ada Sedova
2024	J	`jnl`	Impacts of floating-point non-associativity on reproducibility for HPC and deep learning applications. CoRR Sanjif Shanmugavelu, Mathieu Taillefumier, Christopher Culver, Oscar R. Hernandez, Mark Coletti, Ada Sedova
2024	—	`conf`	Towards Cross-Facility Workflows Orchestration through Distributed Automation. PEARC Tyler J. Skluzacek, Renan Souza, Mark Coletti, Frédéric Suter, Rafael Ferreira da Silva
2024	B	`conf`	Workflow Provenance in the Computing Continuum for Responsible, Trustworthy, and Energy-Efficient AI. e-Science Renan Souza, Silvina Caíno-Lores, Mark Coletti, Tyler J. Skluzacek, Alexandru Costan, Frédéric Suter, Marta Mattoso, Rafael Ferreira da Silva
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`	Multiobjective Hyperparameter Optimization for Deep Learning Interatomic Potential Training Using NSGA-II. ICPP Workshops Mark Coletti, Ada Sedova, Rajni Chahal, Luke Gibson, Santanu Roy, Vyacheslav Bryantsev
2023	J	`jnl`	Predicted structural proteome of Bioinform. 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
2023	—	`conf`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. ICONS Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
2023	J	`jnl`	SuperNeuro: A Fast and Scalable Simulator for Neuromorphic Computing. CoRR Prasanna Date, Chathika Gunaratne, Shruti R. Kulkarni, Robert M. Patton, Mark Coletti, Thomas E. Potok
2022	—	`conf`	Neuromorphic Computing for Scientific Applications. RSDHA@SC 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
2022	—	`conf`	Proteome-scale Deployment of Protein Structure Prediction Workflows on the Summit Supercomputer. IPDPS Workshops Mu Gao, Mark Coletti, Russell B. Davidson, Ryan Prout, Subil Abraham, Benjamín Hernández, Ada Sedova
2022	—	`conf`	Training reinforcement learning models via an adversarial evolutionary algorithm. ICPP Workshops Mark Coletti, Chathika Gunaratne, Catherine D. Schuman, Robert M. Patton
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`	Multi-Objective Hyperparameter Optimization for Spiking Neural Network Neuroevolution. CEC Maryam Parsa, Shruti R. Kulkarni, Mark Coletti, Jeffrey K. Bassett, J. Parker Mitchell, Catherine D. Schuman
2021	—	`conf`	Quantitative Evaluation of Autonomous Driving in CARLA. IV Workshops Shang Gao, Spencer Paulissen, Mark Coletti, Robert M. Patton
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC 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
2020	J	`jnl`	Global Partitioning Elevation Normalization Applied to Building Footprint Prediction. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Alexander J. Fafard, Jan van Aardt, Mark Coletti, David L. Page
2020	—	`conf`	Library for evolutionary algorithms in Python (LEAP). GECCO Companion Mark Coletti, Eric O. Scott, Jeffrey K. Bassett
2020	J	`jnl`	Troubleshooting deep-learner training data problems using an evolutionary algorithm on Summit. IBM J. Res. Dev. Mark Coletti, Alex Fafard, David Page
2019	—	`conf`	Evolving Larger Convolutional Layer Kernel Sizes for a Settlement Detection Deep-Learner on Summit. DLS@SC Mark Coletti, Dalton D. Lunga, Jeffrey K. Bassett, Amy N. Rose
2019	J	`jnl`	Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer. Concurr. Comput. Pract. Exp. Kuldeep R. Kurte, Jibonananda Sanyal, Anne Berres, Dalton D. Lunga, Mark Coletti, Hsiuhan Lexie Yang, Daniel Graves, Benjamin Liebersohn, Amy N. Rose
2012	—	`conf`	Analysis of Emergent Selection Pressure in Evolutionary Algorithm and Machine Learner Offspring Filtering Hybrids. SEMCCO Mark Coletti, Guido Cervone
2012	—	`conf`	The effects of training set size and keeping rules on the emergent selection pressure of learnable evolution model. GECCO (Companion) Mark Coletti
2012	—	`conf`	Towards Validating a Model of Households and Societies in East Africa. WCSS William G. Kennedy, Chenna Reddy Cotla, Tim Gulden, Mark Coletti, Claudio Cioffi-Revilla
2010	—	`conf`	Assessing the Role of Metacognition in GMU BICA. BICA Michael Q. Kalish, Alexei V. Samsonovich, Mark Coletti, Kenneth A. De Jong
2009	—	`conf`	Learnable evolution model performance impaired by binary tournament survival selection. GECCO (Companion) Mark Coletti
2009	A	`conf`	The relationship between evolvability and bloat. GECCO Jeffrey K. Bassett, Mark Coletti, Kenneth A. De Jong
2002	B	`conf`	A preliminary study of learnable evolution methodology implemented with C4.5. IEEE Congress on Evolutionary Computation Mark Coletti
1999	A	`conf`	Comparing Performance of the Learnable Evolution Model and Genetic Algorithms. GECCO Mark Coletti, Thomas D. Lash, Ryszard S. Michalski, Craig Mandsager, Rida E. Moustafa