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Contributions

Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)

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

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

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

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

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

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

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

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

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

Towards Recipe-driven Automation Concepts for Large-scale Food Production

Towards Recipe-driven Automation Concepts for Large-scale Food Production

Moritz Dorfer and Michael Rathmair

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 73-76