Gabriel Kalweit

36 papers A* 7A 2Misc 2Journal 22Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BLINK: Behavioral Latent Modeling of NK Cell Cytotoxicity. CoRR Iman Nematollahi, Jose Francisco Villena-Ossa, Alina Moter, Kiana Farhadyar, Gabriel Kalweit, Abhinav Valada, Toni Cathomen, Evelyn Ullrich, Maria Kalweit
2025	—	`conf`	One For All: A Unified Approach to Classification and Self-explanation. MICCAI (14) Mehdi Naouar, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit
2025	J	`jnl`	SR-Reward: Taking The Path More Traveled. CoRR Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker
2025	J	`jnl`	SR-Reward: Taking The Path More Traveled. Trans. Mach. Learn. Res. Seyed Mahdi B. Azad, Zahra Padar, Gabriel Kalweit, Joschka Boedecker
2025	A*	`conf`	Salvage: Shapley-distribution Approximation Learning Via Attribution Guided Exploration for Explainable Image Classification. ICLR Mehdi Naouar, Hanne Raum, Jens Rahnfeld, Yannick Vogt, Joschka Boedecker, Gabriel Kalweit, Maria Kalweit
2024	J	`jnl`	BetterBodies: Reinforcement Learning guided Diffusion for Antibody Sequence Design. CoRR Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Joschka Boedecker, Gabriel Kalweit
2024	J	`jnl`	Detection of disease-specific signatures in B cell repertoires of lymphomas using machine learning. PLoS Comput. Biol. Paul Schmidt-Barbo, Gabriel Kalweit, Mehdi Naouar, Lisa Paschold, Edith Willscher, Christoph Schultheiß, Bruno Märkl, Stefan Dirnhofer, Alexandar Tzankov, Mascha Binder, Maria Kalweit
2024	J	`jnl`	Multi-intention Inverse Q-learning for Interpretable Behavior Representation. Trans. Mach. Learn. Res. Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
2024	J	`jnl`	Stable Online and Offline Reinforcement Learning for Antibody CDRH3 Design. CoRR Yannick Vogt, Mehdi Naouar, Maria Kalweit, Christoph Cornelius Miething, Justus Duyster, Roland Mertelsmann, Gabriel Kalweit, Joschka Boedecker
2023	J	`jnl`	CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations. CoRR Mehdi Naouar, Gabriel Kalweit, Anusha Klett, Yannick Vogt, Paula Silvestrini, Diana Laura Infante Ramírez, Roland Mertelsmann, Joschka Boedecker, Maria Kalweit
2023	J	`jnl`	L(M)V-IQL: Multiple Intention Inverse Reinforcement Learning for Animal Behavior Characterization. CoRR Hao Zhu, Brice De La Crompe, Gabriel Kalweit, Artur Schneider, Maria Kalweit, Ilka Diester, Joschka Boedecker
2023	J	`jnl`	Robust Tumor Detection from Coarse Annotations via Multi-Magnification Ensembles. CoRR Mehdi Naouar, Gabriel Kalweit, Ignacio Mastroleo, Philipp Poxleitner, Marc Christian Metzger, Joschka Boedecker, Maria Kalweit
2022	A*	`conf`	Affordance Learning from Play for Sample-Efficient Policy Learning. ICRA Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Affordance Learning from Play for Sample-Efficient Policy Learning. CoRR Jessica Borja-Diaz, Oier Mees, Gabriel Kalweit, Lukás Hermann, Joschka Boedecker, Wolfram Burgard
2022	A*	`conf`	Deep Surrogate Q-Learning for Autonomous Driving. ICRA Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2022	Misc	`conf`	Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRL Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
2022	J	`jnl`	Latent Plans for Task-Agnostic Offline Reinforcement Learning. CoRR Erick Rosete-Beas, Oier Mees, Gabriel Kalweit, Joschka Boedecker, Wolfram Burgard
2022	—	`—`	On the role of time horizons in reinforcement learning. Gabriel Kalweit
2022	J	`jnl`	Robust and Data-efficient Q-learning by Composite Value-estimation. Trans. Mach. Learn. Res. Gabriel Kalweit, Maria Kalweit, Joschka Boedecker
2021	A*	`conf`	Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. ICRA Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2021	—	`conf`	AnyNets: Adaptive Deep Neural Networks for Medical Data with Missing Values. AI4Function@IJCAI Maria Kalweit, Gabriel Kalweit, Joschka Boedecker
2021	A	`conf`	Q-learning with Long-term Action-space Shaping to Model Complex Behavior for Autonomous Lane Changes. IROS Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis. CoRR Maria Hügle, Gabriel Kalweit, Thomas Huegle, Joschka Boedecker
2020	A*	`conf`	Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. ICRA Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard
2020	J	`jnl`	Amortized Q-learning with Model-based Action Proposals for Autonomous Driving on Highways. CoRR Branka Mirchevska, Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	A*	`conf`	Deep Inverse Q-learning with Constraints. NeurIPS Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Deep Inverse Q-learning with Constraints. CoRR Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Deep Surrogate Q-Learning for Autonomous Driving. CoRR Maria Kalweit, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	A*	`conf`	Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. ICRA Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2020	J	`jnl`	Interpretable Multi Time-scale Constraints in Model-free Deep Reinforcement Learning for Autonomous Driving. CoRR Gabriel Kalweit, Maria Hügle, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Adversarial Skill Networks: Unsupervised Robot Skill Learning from Video. CoRR Oier Mees, Markus Merklinger, Gabriel Kalweit, Wolfram Burgard
2019	A	`conf`	Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. IROS Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Dynamic Input for Deep Reinforcement Learning in Autonomous Driving. CoRR Maria Hügle, Gabriel Kalweit, Branka Mirchevska, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Dynamic Interaction-Aware Scene Understanding for Reinforcement Learning in Autonomous Driving. CoRR Maria Hügle, Gabriel Kalweit, Moritz Werling, Joschka Boedecker
2019	J	`jnl`	Off-policy Multi-step Q-learning. CoRR Gabriel Kalweit, Maria Hügle, Joschka Boedecker
2017	Misc	`conf`	Uncertainty-driven Imagination for Continuous Deep Reinforcement Learning. CoRL Gabriel Kalweit, Joschka Boedecker