Elliot Meyerson
Publications by Year
Research Areas
Evolutionary Algorithms and Applications, Domain Adaptation and Few-Shot Learning, Topic Modeling, Metaheuristic Optimization Algorithms Research, Machine Learning and Data Classification
Most-Cited Works
- → Evolving Deep Neural Networks(2018)784 cited
- → Evolutionary architecture search for deep multitask networks(2018)118 cited
- → Evolutionary neural AutoML for deep learning(2019)110 cited
- → Learning Behavior Characterizations for Novelty Search(2016)49 cited
- → From Prediction to Prescription: Evolutionary Optimization of Nonpharmaceutical Interventions in the COVID-19 Pandemic(2021)43 cited
- → Language Model Crossover: Variation through Few-Shot Prompting(2024)42 cited
- → Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling(2019)40 cited
- → DMVP: Foremost Waypoint Coverage of Time-Varying Graphs(2014)27 cited
- → Quantifying Point-Prediction Uncertainty in Neural Networks via Residual\n Estimation with an I/O Kernel(2019)27 cited