Joshua Karnas

Orcid: 0000-0002-2956-5262

According to our database1, Joshua Karnas authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
EXA-GP: Unifying Graph-Based Genetic Programming and Neuroevolution for Explainable Time Series Forecasting.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

2023
Local Stochastic Differentiable Architecture Search for Memetic Neuroevolution Algorithms.
Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

2022
Optimized flight safety event detection in the national general aviation flight information database.
Proceedings of the SAC '22: The 37th ACM/SIGAPP Symposium on Applied Computing, Virtual Event, April 25, 2022

Self-adaptation of Neuroevolution Algorithms Using Reinforcement Learning.
Proceedings of the Applications of Evolutionary Computation - 25th European Conference, 2022

2021
Improving the scalability of distributed neuroevolution using modular congruence class generated innovation numbers.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

Improving Distributed Neuroevolution Using Island Extinction and Repopulation.
Proceedings of the Applications of Evolutionary Computation, 2021

An Experimental Study of Weight Initialization and Lamarckian Inheritance on Neuroevolution.
Proceedings of the Applications of Evolutionary Computation, 2021

Continuous Ant-Based Neural Topology Search.
Proceedings of the Applications of Evolutionary Computation, 2021

2020
An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution.
CoRR, 2020

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation.
CoRR, 2020

Improving Neuroevolution Using Island Extinction and Repopulation.
CoRR, 2020

Improving neuroevolutionary transfer learning of deep recurrent neural networks through network-aware adaptation.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

Neuro-Evolutionary Transfer Learning Through Structural Adaptation.
Proceedings of the Applications of Evolutionary Computation - 23rd European Conference, 2020


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