David Wittenberg

According to our database, David Wittenberg authored at least 10 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search.

David Wittenberg, Franz Rothlauf, Christian Gagné

Genet. Program. Evolvable Mach., December, 2023

Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude.

Johannes Reiter, Dirk Schweim, David Wittenberg

Proceedings of the Companion Proceedings of the Conference on Genetic and Evolutionary Computation, 2023

Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming.

David Wittenberg, Franz Rothlauf

Proceedings of the Genetic Programming - 26th European Conference, 2023

2022

On sampling error in genetic programming.

Dirk Schweim, David Wittenberg, Franz Rothlauf

Nat. Comput., 2022

Denoising autoencoder genetic programming for real-world symbolic regression.

David Wittenberg, Franz Rothlauf

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Analyzing optimized constants in genetic programming on a real-world regression problem.

Dominik Sobania, Martin Briesch, David Wittenberg, Franz Rothlauf

Proceedings of the GECCO '22: Genetic and Evolutionary Computation Conference, Companion Volume, Boston, Massachusetts, USA, July 9, 2022

Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search.

David Wittenberg

Proceedings of the Genetic Programming - 25th European Conference, 2022

2021

On sampling error in evolutionary algorithms.

Dirk Schweim, David Wittenberg, Franz Rothlauf

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

Improving estimation of distribution genetic programming with novelty initialization.

Christian Olmscheid, David Wittenberg, Dominik Sobania, Franz Rothlauf

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

2020

DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming.

David Wittenberg, Franz Rothlauf, Dirk Schweim

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