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Baris Kayalibay
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2020 – today
- 2024
- [b1]Baris Kayalibay:
Control with Spatial World Models (Regelung mit Räumlichen Weltmodellen). TU Munich, Germany, 2024 - 2023
- [c6]Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer:
Filter-Aware Model-Predictive Control. L4DC 2023: 1441-1454 - [i7]Baris Kayalibay, Atanas Mirchev, Ahmed Agha, Patrick van der Smagt, Justin Bayer:
Filter-Aware Model-Predictive Control. CoRR abs/2304.10246 (2023) - 2022
- [c5]Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer:
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRL 2022: 161-174 - [c4]Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Tracking and Planning with Spatial World Models. L4DC 2022: 124-137 - [i6]Baris Kayalibay, Atanas Mirchev, Patrick van der Smagt, Justin Bayer:
Tracking and Planning with Spatial World Models. CoRR abs/2201.10335 (2022) - [i5]Atanas Mirchev, Baris Kayalibay, Ahmed Agha, Patrick van der Smagt, Daniel Cremers, Justin Bayer:
PRISM: Probabilistic Real-Time Inference in Spatial World Models. CoRR abs/2212.02988 (2022) - 2021
- [c3]Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt:
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. ICLR 2021 - [c2]Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer:
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. ICLR 2021 - [i4]Justin Bayer, Maximilian Soelch, Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt:
Mind the Gap when Conditioning Amortised Inference in Sequential Latent-Variable Models. CoRR abs/2101.07046 (2021) - 2020
- [i3]Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer:
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF. CoRR abs/2006.10178 (2020)
2010 – 2019
- 2019
- [c1]Atanas Mirchev, Baris Kayalibay, Maximilian Soelch, Patrick van der Smagt, Justin Bayer:
Approximate Bayesian Inference in Spatial Environments. Robotics: Science and Systems 2019 - 2018
- [i2]Atanas Mirchev, Baris Kayalibay, Patrick van der Smagt, Justin Bayer:
Approximate Bayesian inference in spatial environments. CoRR abs/1805.07206 (2018) - 2017
- [i1]Baris Kayalibay, Grady Jensen, Patrick van der Smagt:
CNN-based Segmentation of Medical Imaging Data. CoRR abs/1701.03056 (2017)
Coauthor Index
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