Baris Kayalibay

16 papers A* 2Misc 2Journal 8Unranked 3

Year	Rank	Type	Title / 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