Contributions

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Linearized Bregman Iterations for Sparse Spiking Neural Networks

Daniel Windhager, Michael Lunglmayr and Bernhard Moser

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 237-244

Recurrent versus parallelizable spiking neural networks: A comparative study

Recurrent versus parallelizable spiking neural networks: A comparative study

Alexander Mayr, Simon Hitzginger and Robert Legenstein

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 245-252

Effective Online SNN Training with One-Step Backpropagation

Effective Online SNN Training with One-Step Backpropagation

Saya Higuchi, Federico Corradi, Sander M. Bohté and Sebastian Otte

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 253-258

Probabilistic LIF Neurons Improve Learning in Recurrent Spiking Neural Networks

Probabilistic LIF Neurons Improve Learning in Recurrent Spiking Neural Networks

Sebastian Higuchi, Niels A. Kloosterman, Stefan Hallermann and Sebastian Otte

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 259-263

Towards Real-Time Simulations Of Induced Electric Fields During Brain Stimulation Using Conditioned Transformers

Towards Real-Time Simulations Of Induced Electric Fields During Brain Stimulation Using Conditioned Transformers

Fabian Greifeneder, Dominik Freinberger and Philipp Moser

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 2-5

Generating Realistic and Accurate SMPL Body Shapes from Anthropometric Measurements

Generating Realistic and Accurate SMPL Body Shapes from Anthropometric Measurements

Maja Nikolic, Sophie Kaltenleithner, Ulrich Bodenhofer and Michael Giretzlehner

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 6-10

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis

Flow Matching for Conditional MRI-CT and CBCT-CT Image Synthesis

Arnela Hadzic, Simon Johannes Joham and Martin Urschler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 11-16

Evidential Deep Learning for Missing Boundary Detection in Topologically Constrained OCT Layer Segmentation

Evidential Deep Learning for Missing Boundary Detection in Topologically Constrained OCT Layer Segmentation

Botond Fazekas and Hrvoje Bogunovic

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 17-22

Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation

Evaluation of Anatomical Shape Priors in Deep Learning-Based Cardiac Multi-Compartment Segmentation

Michael Hudler, Franz Thaler and Martin Urschler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 23-27

Forecasting individual survival in irregularly sampled patient trajectories

Forecasting individual survival in irregularly sampled patient trajectories

Daniel Sobotka, Nino Bogveradze, Lucian Beer, Philipp Seeböck, Helmut Prosch and Georg Langs

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 28-32