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Contributions

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays

Working Memory in a Recurrent Spiking Neural Networks With Heterogeneous Synaptic Delays

Laurent Perrinet

2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 397-406

Proceedings of the Semantic Scene Representations (SSR)Workshop at AIROV 2026

Proceedings of the Semantic Scene Representations (SSR)Workshop at AIROV 2026

Christian Rauch, Linus Nwankwo, Shail Jadav and Jun Zhang

2026-07-01 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 408-413

SNNSys –Workshop on Spiking Neural Networks

SNNSys –Workshop on Spiking Neural Networks

Bernhard Moser, Michael Lunglmayr and Robert Legenstein

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 368-369

Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study

Conceptual-Model-Guided Physics-Inspired Feature Engineering: A 3D-Printer Case Study

Martin Paczona

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 333-337

Proceedings of the Robowork Workshop at AIROV 2026

Proceedings of the Robowork Workshop at AIROV 2026

Vedant Dave, Elmar Rueckert, Thomas Thurner, Siegfried Altmann and Yassine Elmanyari

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 344-348

AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)

AIRoV 2026 | Workshop on Physics-Informed Machine Learning and Hybrid Modeling (PhysicsML)

Bernhard C. Geiger, Manfred Mücke and Stefan Posch

2026-06-26 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 293-294

Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)

Workshop on Digital Transformation of Agriculture & Animal Science (DTAAS)

Sebastian Gruber, Mark A.M. Kramer, Peter Riegler-Nurscher and Peter M. Roth

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 264-266

Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution

Spot and Edge Feature Based Estimation of Point-Spread Functions for Image Deconvolution

Martin Welk

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 169-179

Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach

Explainable AI for Efficient Hyperspectral Band Selection in Textile Recycling: A Score-CAM Approach

Achraf Guenounou, Harald Ganster and Jean-Philippe Andreu

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 180-188

Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)

Editorial: AI Certification, Fairness and Regulations (CERT AI 2026)

Bernhard Nessler, Michal Lewandowski, Simon Schmid, Gregor Aichinger, Iana Kazeeva and Rania Wazir

2026-06-25 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 200-203