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Gabriel Kalweit

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CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations

Dec 01, 2023
Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramirez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit

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L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization

Nov 23, 2023
Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker

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Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles

Mar 29, 2023
Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Metzger, Joschka Boedecker, Maria Kalweit

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Latent Plans for Task-Agnostic Offline Reinforcement Learning

Sep 19, 2022
Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard

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Affordance Learning from Play for Sample-Efficient Policy Learning

Mar 01, 2022
Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukas Hermann, Joschka Boedecker, Wolfram Burgard

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Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways

Dec 06, 2020
Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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Deep Surrogate Q-Learning for Autonomous Driving

Oct 21, 2020
Maria Huegle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker

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A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis

Aug 14, 2020
Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker

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Deep Inverse Q-learning with Constraints

Aug 04, 2020
Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

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Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving

Mar 20, 2020
Gabriel Kalweit, Maria Huegle, Moritz Werling, Joschka Boedecker

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