Christopher Wiebusch

Orcid: 0000-0002-6418-3008

According to our database1, Christopher Wiebusch authored at least 9 papers between 2015 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Uncovering Hidden Systematics in Neural Network Models for High Energy Physics.
CoRR, May, 2026

Shapes are not enough: CONSERVAttack and its use for finding vulnerabilities and uncertainties in machine learning applications.
CoRR, March, 2026

2025
PhyLiNO: a forward-folding likelihood-fit framework for neutrino oscillation physics.
Comput. Softw. Big Sci., December, 2025

Enforcing Fundamental Relations via Adversarial Attacks on Input Parameter Correlations.
Comput. Softw. Big Sci., December, 2025

MiniFool - Physics-Constraint-Aware Minimizer-Based Adversarial Attacks in Deep Neural Networks.
CoRR, November, 2025

Colliding with Adversaries: A Challenge on Robust Learning in High Energy Physics at ECML PKDD 2025.
Proceedings of the Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2025

2024
A Radar and Sonar-Based Hybrid Forefield Reconnaissance System for Melting Probes for Englacial Exploration.
IEEE Trans. Geosci. Remote. Sens., 2024

2022
Partition Pooling for Convolutional Graph Network Applications in Particle Physics.
CoRR, 2022

2015
Calculation of oscillation probabilities of atmospheric neutrinos using nuCraft.
Comput. Phys. Commun., 2015


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