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Erik Derner
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2020 – today
- 2024
- [j10]Martin Vastl, Jonas Kulhanek
, Jirí Kubalík
SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture. IEEE Access 12: 37840-37849 (2024) - [j9]Erik Derner
A Security Risk Taxonomy for Prompt-Based Interaction With Large Language Models. IEEE Access 12: 126176-126187 (2024) - [i12]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 abs/2406.13677 (2024) - 2023
- [j8]Jirí Kubalík
Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression. IEEE Access 11: 61481-61501 (2023) - [i11]Jirí Kubalík, Erik Derner, Robert Babuska:
Neural Networks for Symbolic Regression. CoRR abs/2302.00773 (2023) - [i10]Erik Derner, Kristina Batistic:
Beyond the Safeguards: Exploring the Security Risks of ChatGPT. CoRR abs/2305.08005 (2023) - [i9]Erik Derner, Kristina Batistic, Jan Zahálka, Robert Babuska:
A Security Risk Taxonomy for Large Language Models. CoRR abs/2311.11415 (2023) - [i8]Erik Derner, Dalibor Kucera, Nuria Oliver
Can ChatGPT Read Who You Are? CoRR abs/2312.16070 (2023) - 2022
- [c11]Jonas Kulhanek
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers. ECCV (15) 2022: 198-216 - [i7]Jonas Kulhanek, Erik Derner, Torsten Sattler, Robert Babuska:
ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers. CoRR abs/2203.10157 (2022) - [i6]Martin Vastl, Jonas Kulhanek, Jirí Kubalík, Erik Derner, Robert Babuska:
SymFormer: End-to-end symbolic regression using transformer-based architecture. CoRR abs/2205.15764 (2022) - 2021
- [j7]Erik Derner
Selecting Informative Data Samples for Model Learning Through Symbolic Regression. IEEE Access 9: 14148-14158 (2021) - [j6]Jirí Kubalík
Symbolic Regression Methods for Reinforcement Learning. IEEE Access 9: 139697-139711 (2021) - [j5]Jirí Kubalík, Erik Derner, Robert Babuska:
Multi-objective symbolic regression for physics-aware dynamic modeling. Expert Syst. Appl. 182: 115210 (2021) - [j4]Jonas Kulhanek
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning. IEEE Robotics Autom. Lett. 6(3): 4345-4352 (2021) - [j3]Erik Derner, Clara Gómez, Alejandra C. Hernández
Change detection using weighted features for image-based localization. Robotics Auton. Syst. 135: 103676 (2021) - [c10]Erik Derner, Jirí Kubalík, Robert Babuska:
Guiding Robot Model Construction with Prior Features. IROS 2021: 7112-7118 - 2020
- [j2]Erik Derner
Constructing parsimonious analytic models for dynamic systems via symbolic regression. Appl. Soft Comput. 94: 106432 (2020) - [j1]Clara Gómez
Object-Based Pose Graph for Dynamic Indoor Environments. IEEE Robotics Autom. Lett. 5(4): 5401-5408 (2020) - [c9]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic regression driven by training data and prior knowledge. GECCO 2020: 958-966 - [c8]Alejandra C. Hernández, Erik Derner, Clara Gómez, Ramón Barber, Robert Babuska:
Efficient Object Search Through Probability-Based Viewpoint Selection. IROS 2020: 6172-6179 - [i5]Jirí Kubalík, Erik Derner, Robert Babuska:
Symbolic Regression Driven by Training Data and Prior Knowledge. CoRR abs/2004.11947 (2020) - [i4]Jonas Kulhanek, Erik Derner, Robert Babuska:
Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning. CoRR abs/2010.10903 (2020)
2010 – 2019
- 2019
- [c7]Erik Derner, Clara Gómez, Alejandra C. Hernández, Ramón Barber
Towards Life-Long Autonomy of Mobile Robots Through Feature-Based Change Detection. ECMR 2019: 1-6 - [c6]Clara Gómez, Alejandra C. Hernández, Erik Derner, Ramón Barber
Semantic Localization through Propagation of Scene Information in a Hierarchical Model. ECMR 2019: 1-6 - [c5]Alejandra C. Hernández, Clara Gómez, Erik Derner, Ramón Barber
Indoor Scene Recognition based on Weighted Voting Schemes. ECMR 2019: 1-6 - [c4]Jonas Kulhanek
Vision-based Navigation Using Deep Reinforcement Learning. ECMR 2019: 1-8 - [i3]Jirí Kubalík, Jan Zegklitz, Erik Derner, Robert Babuska:
Symbolic Regression Methods for Reinforcement Learning. CoRR abs/1903.09688 (2019) - [i2]Erik Derner, Jirí Kubalík, Nicola Ancona, Robert Babuska:
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning. CoRR abs/1903.11483 (2019) - [i1]Jonas Kulhanek, Erik Derner, Tim de Bruin, Robert Babuska:
Vision-based Navigation Using Deep Reinforcement Learning. CoRR abs/1908.03627 (2019) - 2018
- [c3]Erik Derner
Data-driven Construction of Symbolic Process Models for Reinforcement Learning. ICRA 2018: 1-8 - [c2]Erik Derner
Reinforcement Learning with Symbolic Input-Output Models. IROS 2018: 3004-3009 - 2017
- [c1]Jirí Kubalík, Erik Derner, Robert Babuska:
Enhanced Symbolic Regression Through Local Variable Transformations. IJCCI 2017: 91-100
Coauthor Index
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