Baris Kayalibay

16 papers A* 2Misc 2Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
Inherently Robust Control through Maximum-Entropy Learning-Based Rollout.
Trans. Mach. Learn. Res.
Felix Bok, Atanas Mirchev, Baris Kayalibay, Ole Jonas Wenzel, Patrick van der Smagt, Justin Bayer
2024 — —
Control with Spatial World Models (Regelung mit Räumlichen Weltmodellen)
Baris Kayalibay
2024 Misc conf
Exploring Under Constraints with Model-Based Actor-Critic and Safety Filters.
CoRL
Ahmed Agha, Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2023 — conf
Filter-Aware Model-Predictive Control.
L4DC
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
2023 J jnl
Filter-Aware Model-Predictive Control.
CoRR
Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer
2022 Misc conf
PRISM: Probabilistic Real-Time Inference in Spatial World Models.
CoRL
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022 J jnl
PRISM: Probabilistic Real-Time Inference in Spatial World Models.
CoRR
Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer
2022 — conf
Tracking and Planning with Spatial World Models.
L4DC
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2022 J jnl
Tracking and Planning with Spatial World Models.
CoRR
Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer
2021 A* conf
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.
ICLR
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
2021 J jnl
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models.
CoRR
Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt
2021 A* conf
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF.
ICLR
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2020 J jnl
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF.
CoRR
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2019 — conf
Approximate Bayesian Inference in Spatial Environments.
Robotics: Science and Systems
Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer
2018 J jnl
Approximate Bayesian inference in spatial environments.
CoRR
Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer
2017 J jnl
CNN-based Segmentation of Medical Imaging Data.
CoRR
Baris Kayalibay, Grady Jensen, Patrick van der Smagt