Genetic Programming Bibliography entries for Erik Derner

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GP coauthors/coeditors: Jiri Kubalik, Robert Babuska, Nicola Ancona, Jan Zegklitz, Martin Vastl, Jonas Kulhanek,

Genetic Programming Articles by Erik Derner

  1. Martin Vastl and Jonas Kulhanek and Jiri Kubalik and Erik Derner and Robert Babuska. SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access, 12:37840-37849, 2024. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access, 11:61481-61501, 2023. details

  3. Jiri Kubalik and Erik Derner and Robert Babuska. Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Systems with Applications, 182:115210, 2021. details

  4. Erik Derner and Jiri Kubalik and Nicola Ancona and Robert Babuska. Constructing parsimonious analytic models for dynamic systems via symbolic regression. Applied Soft Computing, 94:106432, 2020. details

Genetic Programming conference papers by Erik Derner

  1. Erik Derner and Jiri Kubalik and Robert Babuska. Guiding Robot Model Construction with Prior Features. In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 7112-7118, 2021. details

  2. Jiri Kubalik and Erik Derner and Robert Babuska. Symbolic Regression Driven by Training Data and Prior Knowledge. In Carlos Artemio Coello Coello and Arturo Hernandez Aguirre and Josu Ceberio Uribe and Mario Garza Fabre and Gregorio Toscano Pulido and Katya Rodriguez-Vazquez and Elizabeth Wanner and Nadarajen Veerapen and Efren Mezura Montes and Richard Allmendinger and Hugo Terashima Marin and Markus Wagner and Thomas Bartz-Beielstein and Bogdan Filipic and Heike Trautmann and Ke Tang and John Koza and Erik Goodman and William B. Langdon and Miguel Nicolau and Christine Zarges and Vanessa Volz and Tea Tusar and Boris Naujoks and Peter A. N. Bosman and Darrell Whitley and Christine Solnon and Marde Helbig and Stephane Doncieux and Dennis G. Wilson and Francisco Fernandez de Vega and Luis Paquete and Francisco Chicano and Bing Xue and Jaume Bacardit and Sanaz Mostaghim and Jonathan Fieldsend and Oliver Schuetze and Dirk Arnold and Gabriela Ochoa and Carlos Segura and Carlos Cotta and Michael Emmerich and Mengjie Zhang and Robin Purshouse and Tapabrata Ray and Justyna Petke and Fuyuki Ishikawa and Johannes Lengler and Frank Neumann editors, Proceedings of the 2020 Genetic and Evolutionary Computation Conference, pages 958-966, internet, 2020. Association for Computing Machinery. details

  3. Erik Derner and Jiri Kubalik and Robert Babuska. Data-driven Construction of Symbolic Process Models for Reinforcement Learning. In 2018 IEEE International Conference on Robotics and Automation (ICRA), 2018. details

  4. Jiri Kubalik and Erik Derner and Robert Babuska. Enhanced Symbolic Regression Through Local Variable Transformations. In Christophe Sabourin and Juan Julian Merelo and Una-May O'Reilly and Kurosh Madani and Kevin Warwick editors, Proceedings of the 9th International Joint Conference on Computational Intelligence, IJCCI, pages 91-100, Funchal, Madeira, Portugal, 2017. SciTePress. details

Genetic Programming other entries for Erik Derner