Erik Derner

Orcid: 0000-0002-7588-7668

According to our database1, Erik Derner authored at least 25 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
SymFormer: End-to-End Symbolic Regression Using Transformer-Based Architecture.
IEEE Access, 2024

2023
Can ChatGPT Read Who You Are?
CoRR, 2023

A Security Risk Taxonomy for Large Language Models.
CoRR, 2023

Beyond the Safeguards: Exploring the Security Risks of ChatGPT.
CoRR, 2023

Neural Networks for Symbolic Regression.
CoRR, 2023

Toward Physically Plausible Data-Driven Models: A Novel Neural Network Approach to Symbolic Regression.
IEEE Access, 2023

2022
ViewFormer: NeRF-Free Neural Rendering from Few Images Using Transformers.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Change detection using weighted features for image-based localization.
Robotics Auton. Syst., 2021

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning.
IEEE Robotics Autom. Lett., 2021

Multi-objective symbolic regression for physics-aware dynamic modeling.
Expert Syst. Appl., 2021

Symbolic Regression Methods for Reinforcement Learning.
IEEE Access, 2021

Selecting Informative Data Samples for Model Learning Through Symbolic Regression.
IEEE Access, 2021

Guiding Robot Model Construction with Prior Features.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Object-Based Pose Graph for Dynamic Indoor Environments.
IEEE Robotics Autom. Lett., 2020

Constructing parsimonious analytic models for dynamic systems via symbolic regression.
Appl. Soft Comput., 2020

Efficient Object Search Through Probability-Based Viewpoint Selection.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Symbolic regression driven by training data and prior knowledge.
Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019
Symbolic Regression for Constructing Analytic Models in Reinforcement Learning.
CoRR, 2019

Vision-based Navigation Using Deep Reinforcement Learning.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

Indoor Scene Recognition based on Weighted Voting Schemes.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

Semantic Localization through Propagation of Scene Information in a Hierarchical Model.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

Towards Life-Long Autonomy of Mobile Robots Through Feature-Based Change Detection.
Proceedings of the 2019 European Conference on Mobile Robots, 2019

2018
Reinforcement Learning with Symbolic Input-Output Models.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Data-driven Construction of Symbolic Process Models for Reinforcement Learning.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2017
Enhanced Symbolic Regression Through Local Variable Transformations.
Proceedings of the 9th International Joint Conference on Computational Intelligence, 2017


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