| Evolving SimGANs to improve abnormal electrocardiogram classification G Wang, A Thite, R Talebi, A D'Achille, A Mussa, J Zutty Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 4 | 2022 |
| PyATMOS: A Scalable Grid of Hypothetical Planetary Atmospheres A Chopra, AC Bell, W Fawcett, R Talebi, D Angerhausen, AG Baydin, ... arXiv preprint arXiv:2308.10624, 2023 | 2 | 2023 |
| Reducing bathymetric-lidar algorithm uncertainty with genetic programming and the evolutionary multi-objective algorithm design engine J Zutty, D Carr, R Talebi, J Rick, C Valenta, G Rohling Artificial Intelligence and Machine Learning for Multi-Domain Operations …, 2019 | 2 | 2019 |
| NASA Frontier Development Lab 2018: Using machine learning to study ET biospheres A Bell, A Chopra, W Fawcett, R Talebi, D Angerhausen, A Berea, ... 5th Workshop on Challenges in Machine Learning (NeurIPS), 2018 | 1 | 2018 |
| BathEMADE: Evolutionary Multi-objective Algorithm Design Engine for Bathymetric LIDAR J Zutty, JR Rodd Talebi, C Valenta, D Carr, G Rohling Georgia Institute of Technology, Georgia Institute of Technology, 0 | 1 | |
| EXO-ATMOS: A scalable grid of hypothetical planetary atmospheres A Chopra, A Bell, W Fawcett, R Talebi, D Angerhausen, AG Baydin, ... EPSC2020, 2020 | | 2020 |
| EXO− ATMOS: A scalable grid of hypothetical planetary atmospheres AG Baydin | | 2020 |
| EMADE for Intelligence Surveillance and Reconnaissance Applications J Zutty, R Talebi, A Dunn, R Samuelson, G Rohling | | 2018 |
