Contributions

Effective Online SNN Training with One-Step Backpropagation

Effective Online SNN Training with One-Step Backpropagation

  • Saya Higuchi
  • Federico Corradi
  • Sander M. Bohté
  • Sebastian Otte

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 386-391

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
  • Sebastian Otte

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 392-396

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
  • Philipp Moser

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 8-11

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
  • Michael Giretzlehner

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 21-25

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
  • Martin Urschler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 31-36

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
  • Hrvoje Bogunovic

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 37-42

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
  • Martin Urschler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 43-47

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
  • Georg Langs

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 50-54

Multimodal Contrastive Learning for Alzheimer’s Disease Prediction in Imaging Genetics

Multimodal Contrastive Learning for Alzheimer’s Disease Prediction in Imaging Genetics

  • Jonas Fallmann
  • Erich Kobler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 55-60

xLSTM for Irregular Multivariate Clinical Time-Series Forecasting

xLSTM for Irregular Multivariate Clinical Time-Series Forecasting

  • Laura Legat
  • Erich Kobler

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 61-66