Contributions
Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)
Johanna Moser, Christopher Albert and Sascha Ranftl
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 295-298
Joint Bayesian Inference on Lagrangian Physics and Trajectories
Michael Obermayr and Robert Peharz
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 299-304
Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems
Miloš Babić, Franz Rohrhofer and Bernhard Geiger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 305-313
Derivative-Enhanced Training for Data-efficient Surrogate Modeling
Paul Horvath, Marian Staggl and Stefan Posch
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 314-322
Towards a PIRL framework for efficient airflow diffuser design
Alfredo Lopez, Florian Sobieczky, Christopher Lackner, Matthias Hochsteger, Bernhard Scheichl, Helmuth Sobieczky and Christoph Feichtinger
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 323-328
Understanding the Role of Domain Knowledge in Bayesian Optimization under Small-Data Constraints
Bernd Schuscha, Franz Rohrhofer, Bernhard Geiger and Daniel Scheiber
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 329-332
Equayes - Democratizing Probabilistic Model Construction and Exploration with automatic Equation to Bayesian Model transformation
Christian Findenig and Manfred Mücke
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 338-342
ZeroShop: Automated Metric Mesh Generation for Zero-Shot 6D Object Pose Estimation
Stefan Lechner, Philipp Ausserlechner and Markus Vincze
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 349-362
1D Profiles vs. Spectral Images: A Comparative Study of Machine Learning Models for Mineral and Rock Classification
Sai Puneeth Reddy Gottam, Martin Johannes Findl, Robert Galler, Klaus Philipp Sedlazeck and Elmar Rueckert
2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 363-366