Philipp Scholl

Affiliations:
  • LMU Munich, Germany


According to our database1, Philipp Scholl authored at least 13 papers between 2022 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
Interpretable Robotic Friction Learning via Symbolic Regression.
CoRR, May, 2025

Graph Neural Networks for Enhancing Ensemble Forecasts of Extreme Rainfall.
CoRR, April, 2025

Probabilistic neural operators for functional uncertainty quantification.
Trans. Mach. Learn. Res., 2025

ParFam - (Neural Guided) Symbolic Regression via Continuous Global Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Identifiability for Symbolic Recovery of Differential Equations.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Corrigendum to "Learning-based adaption of robotic friction models" [Robotics and Computer-Integrated Manufacturing Volume 89, October 2024].
Robotics Comput. Integr. Manuf., 2024

Learning-based adaption of robotic friction models.
Robotics Comput. Integr. Manuf., 2024

Compositional Construction of Barrier Functions for Switched Impulsive Systems.
Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

2023
ParFam - Symbolic Regression Based on Continuous Global Optimization.
CoRR, 2023

The Uniqueness Problem of Physical Law Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Well-definedness of Physical Law Learning: The Uniqueness Problem.
CoRR, 2022

Safe Policy Improvement Approaches and Their Limitations.
Proceedings of the Agents and Artificial Intelligence - 14th International Conference, 2022

Safe Policy Improvement Approaches on Discrete Markov Decision Processes.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022


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