Erik Derner

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Change Detection

Reinforcement Learning

Symbolic Regression

Top Venues

Publications

Erik Derner, Sara Sansalvador de la Fuente, Yoan Gutiérrez, Paloma Moreda, Nuria Oliver
Leveraging Large Language Models to Measure Gender Bias in Gendered Languages. CoRR (2024)
Martin Vastl, Jonas Kulhanek, Jirí Kubalík, Erik Derner, Robert Babuska
SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access 12 (2024)
Erik Derner, Kristina Batistic
Beyond the Safeguards: Exploring the Security Risks of ChatGPT. CoRR (2023)
Jirí Kubalík, Erik Derner, Robert Babuska
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access 11 (2023)
Erik Derner, Kristina Batistic, Jan Zahálka, Robert Babuska
A Security Risk Taxonomy for Large Language Models. CoRR (2023)
Jirí Kubalík, Erik Derner, Robert Babuska
Neural Networks for Symbolic Regression. CoRR (2023)
Erik Derner, Dalibor Kucera, Nuria Oliver, Jan Zahálka
Can ChatGPT Read Who You Are? CoRR (2023)
Martin Vastl, Jonás Kulhánek, Jirí Kubalík, Erik Derner, Robert Babuska
SymFormer: End-to-end symbolic regression using transformer-based architecture. CoRR (2022)
Jonás Kulhánek, Erik Derner, Torsten Sattler, Robert Babuska
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers. CoRR (2022)
Jonás Kulhánek, Erik Derner, Torsten Sattler, Robert Babuska
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers. ECCV (15) (2022)
Erik Derner, Jirí Kubalík, Robert Babuska
Selecting Informative Data Samples for Model Learning Through Symbolic Regression. IEEE Access 9 (2021)
Jirí Kubalík, Erik Derner, Jan Zegklitz, Robert Babuska
Symbolic Regression Methods for Reinforcement Learning. IEEE Access 9 (2021)
Jonás Kulhánek, Erik Derner, Robert Babuska
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6 (3) (2021)
Jirí Kubalík, Erik Derner, Robert Babuska
Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Syst. Appl. 182 (2021)
Erik Derner, Jirí Kubalík, Robert Babuska
Guiding Robot Model Construction with Prior Features. IROS (2021)
Erik Derner, Clara Gómez, Alejandra C. Hernández, Ramón Barber, Robert Babuska
Change detection using weighted features for image-based localization. Robotics Auton. Syst. 135 (2021)
Jonás Kulhánek, Erik Derner, Robert Babuska
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning. CoRR (2020)
Jirí Kubalík, Erik Derner, Robert Babuska
Symbolic regression driven by training data and prior knowledge. GECCO (2020)
Jirí Kubalík, Erik Derner, Robert Babuska
Symbolic Regression Driven by Training Data and Prior Knowledge. CoRR (2020)
Alejandra C. Hernández, Erik Derner, Clara Gómez, Ramón Barber, Robert Babuska
Efficient Object Search Through Probability-Based Viewpoint Selection. IROS (2020)
Clara Gómez, Alejandra C. Hernández, Erik Derner, Ramón Barber, Robert Babuska
Object-Based Pose Graph for Dynamic Indoor Environments. IEEE Robotics Autom. Lett. 5 (4) (2020)
Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska
Constructing parsimonious analytic models for dynamic systems via symbolic regression. Appl. Soft Comput. 94 (2020)
Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning. CoRR (2019)
Jonás Kulhánek, Erik Derner, Tim de Bruin, Robert Babuska
Vision-based Navigation Using Deep Reinforcement Learning. CoRR (2019)
Jonás Kulhánek, Erik Derner, Tim de Bruin, Robert Babuska
Vision-based Navigation Using Deep Reinforcement Learning. ECMR (2019)
Clara Gómez, Alejandra C. Hernández, Erik Derner, Ramón Barber
Semantic Localization through Propagation of Scene Information in a Hierarchical Model. ECMR (2019)
Alejandra C. Hernández, Clara Gómez, Erik Derner, Ramón Barber
Indoor Scene Recognition based on Weighted Voting Schemes. ECMR (2019)
Erik Derner, Clara Gómez, Alejandra C. Hernández, Ramón Barber, Robert Babuska
Towards Life-Long Autonomy of Mobile Robots Through Feature-Based Change Detection. ECMR (2019)
Jirí Kubalík, Jan Zegklitz, Erik Derner, Robert Babuska
Symbolic Regression Methods for Reinforcement Learning. CoRR (2019)
Erik Derner, Jirí Kubalík, Robert Babuska
Data-driven Construction of Symbolic Process Models for Reinforcement Learning. ICRA (2018)
Erik Derner, Jirí Kubalík, Robert Babuska
Reinforcement Learning with Symbolic Input-Output Models. IROS (2018)
Jirí Kubalík, Erik Derner, Robert Babuska
Enhanced Symbolic Regression Through Local Variable Transformations. IJCCI (2017)