CNN-based Segmentation of Medical Imaging Data. - Baris Kayalibay; Grady Jensen; Patrick van der Smagt (CoRR, 2017)

Approximate Bayesian inference in spatial environments. - Atanas Mirchev; Baris Kayalibay; Patrick van der Smagt; Justin Bayer (CoRR, 2018)

Approximate Bayesian Inference in Spatial Environments. - Atanas Mirchev; Baris Kayalibay; Maximilian Soelch 001; Patrick van der Smagt; Justin Bayer (Robotics: Science and Systems, 2019)

Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. - Justin Bayer; Maximilian Soelch 001; Atanas Mirchev; Baris Kayalibay; Patrick van der Smagt (ICLR, 2021)

Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. - Atanas Mirchev; Baris Kayalibay; Patrick van der Smagt; Justin Bayer (ICLR, 2021)

PRISM: Probabilistic Real-Time Inference in Spatial World Models. - Atanas Mirchev; Baris Kayalibay; Ahmed Agha; Patrick van der Smagt; Daniel Cremers; Justin Bayer (CoRL, 2022)

Tracking and Planning with Spatial World Models. - Baris Kayalibay; Atanas Mirchev; Patrick van der Smagt; Justin Bayer (L4DC, 2022)

Filter-Aware Model-Predictive Control. - Baris Kayalibay; Atanas Mirchev; Ahmed Agha; Patrick van der Smagt; Justin Bayer (L4DC, 2023)

Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters. - Ahmed Agha; Baris Kayalibay; Atanas Mirchev; Patrick van der Smagt; Justin Bayer (CoRL, 2024)

Control with Spatial World Models (Regelung mit Räumlichen Weltmodellen) - Baris Kayalibay (2024)