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David Wittenberg
David Wittenberg
Doctoral Candidate and Researcher, Johannes Gutenberg University Mainz
Verified email at uni-mainz.de - Homepage
Title
Cited by
Cited by
Year
On sampling error in genetic programming
D Schweim, D Wittenberg, F Rothlauf
Natural Computing, 1-14, 2022
112022
DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming
D Wittenberg, F Rothlauf, D Schweim
Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020
92020
Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming
D Wittenberg, F Rothlauf
26th European Conference on Genetic Programming (Part of EvoStar), 101-116, 2023
52023
Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search
D Wittenberg
🏆 Best Paper Nomination. 25th European Conference on Genetic Programming …, 2022
52022
Denoising autoencoder genetic programming for real-world symbolic regression
D Wittenberg, F Rothlauf
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
42022
Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude
J Reiter, D Schweim, D Wittenberg
🏆 Best Paper Award. Proceedings of the Companion Conference on Genetic and …, 2023
32023
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search
D Wittenberg, F Rothlauf, C Gagné
Genetic Programming and Evolvable Machines 24 (2), 17, 2023
22023
Improving estimation of distribution genetic programming with novelty initialization
C Olmscheid, D Wittenberg, D Sobania, F Rothlauf
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
22021
On sampling error in evolutionary algorithms
D Schweim, D Wittenberg, F Rothlauf
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021
22021
Analyzing optimized constants in genetic programming on a real-world regression problem
D Sobania, M Briesch, D Wittenberg, F Rothlauf
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022
12022
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