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David Wittenberg
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2020 – today
- 2023
- [j2]David Wittenberg, Franz Rothlauf, Christian Gagné
:
Denoising autoencoder genetic programming: strategies to control exploration and exploitation in search. Genet. Program. Evolvable Mach. 24(2): 17 (2023) - [c8]David Wittenberg
Small Solutions for Real-World Symbolic Regression Using Denoising Autoencoder Genetic Programming. EuroGP 2023: 101-116 - [c7]Johannes Reiter
Pretraining Reduces Runtime in Denoising Autoencoder Genetic Programming by an Order of Magnitude. GECCO Companion 2023: 2382-2385 - 2022
- [j1]Dirk Schweim
On sampling error in genetic programming. Nat. Comput. 21(2): 173-186 (2022) - [c6]David Wittenberg
Using Denoising Autoencoder Genetic Programming to Control Exploration and Exploitation in Search. EuroGP 2022: 102-117 - [c5]Dominik Sobania
Analyzing optimized constants in genetic programming on a real-world regression problem. GECCO Companion 2022: 606-607 - [c4]David Wittenberg, Franz Rothlauf:
Denoising autoencoder genetic programming for real-world symbolic regression. GECCO Companion 2022: 612-614 - 2021
- [c3]Dirk Schweim, David Wittenberg, Franz Rothlauf:
On sampling error in evolutionary algorithms. GECCO Companion 2021: 43-44 - [c2]Christian Olmscheid, David Wittenberg, Dominik Sobania
Improving estimation of distribution genetic programming with novelty initialization. GECCO Companion 2021: 261-262 - 2020
- [c1]David Wittenberg
DAE-GP: denoising autoencoder LSTM networks as probabilistic models in estimation of distribution genetic programming. GECCO 2020: 1037-1045
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