Baris Kayalibay

According to our database, Baris Kayalibay authored at least 11 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Inherently Robust Control through Maximum-Entropy Learning-Based Rollout.

Felix Bok, Atanas Mirchev, Baris Kayalibay, Ole Jonas Wenzel, Patrick van der Smagt, Justin Bayer

Trans. Mach. Learn. Res., 2025

2024

Control with Spatial World Models (Regelung mit Räumlichen Weltmodellen)

Baris Kayalibay

PhD thesis, 2024

Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters.

Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Filter-Aware Model-Predictive Control.

Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer

Proceedings of the Learning for Dynamics and Control Conference, 2023

2022

Tracking and Planning with Spatial World Models.

Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer

Proceedings of the Learning for Dynamics and Control Conference, 2022

PRISM: Probabilistic Real-Time Inference in Spatial World Models.

Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer

Proceedings of the Conference on Robot Learning, 2022

2021

Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF.

Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer

Proceedings of the 9th International Conference on Learning Representations, 2021

Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.

Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt

Proceedings of the 9th International Conference on Learning Representations, 2021

2019

Approximate Bayesian Inference in Spatial Environments.

Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer

Proceedings of the Robotics: Science and Systems XV, 2019

2018

Approximate Bayesian inference in spatial environments.

Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer

CoRR, 2018

2017

CNN-based Segmentation of Medical Imaging Data.

Baris Kayalibay, Grady Jensen, Patrick van der Smagt

CoRR, 2017