Philipp Becker

52 papers A* 9A 1B 1C 1Misc 4Journal 30Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AMBER: Adaptive Mesh Generation by Iterative Mesh Resolution Prediction. CoRR Niklas Freymuth, Tobias Würth, Nicolas Schreiber, Balázs Gyenes, Andreas Boltres, Johannes Mitsch, Aleksandar Taranovic, Tai Hoang, Philipp Dahlinger, Philipp Becker, Luise Kärger, Gerhard Neumann
2025	J	`jnl`	EDiT: Efficient Diffusion Transformers with Linear Compressed Attention. CoRR Philipp Becker, Abhinav Mehrotra, Ruchika Chavhan, Malcolm Chadwick, Luca Morreale, Mehdi Noroozi, Alberto Gil C. P. Ramos, Sourav Bhattacharya
2025	A*	`conf`	Efficient Off-Policy Learning for High-Dimensional Action Spaces. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	A*	`conf`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. ICLR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects. CoRR Tai Hoang, Huy Le, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2025	J	`jnl`	Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics. CoRR Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann
2025	J	`jnl`	TROLL: Trust Regions improve Reinforcement Learning for Large Language Models. CoRR Philipp Becker, Niklas Freymuth, Serge Thilges, Fabian Otto, Gerhard Neumann
2024	J	`jnl`	Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity. CoRR Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann
2024	J	`jnl`	Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL. RLJ Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann
2024	J	`jnl`	Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann
2024	J	`jnl`	KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. CoRR Philipp Becker, Niklas Freymuth, Gerhard Neumann
2024	A	`conf`	MuTT: A Multimodal Trajectory Transformer for Robot Skills. IROS Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann
2024	J	`jnl`	MuTT: A Multimodal Trajectory Transformer for Robot Skills. CoRR Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann
2024	Misc	`conf`	PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds. CoRL Balázs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann
2024	J	`jnl`	PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds. CoRR Balázs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann
2024	J	`jnl`	Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
2023	A*	`conf`	Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
2023	A*	`conf`	Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. NeurIPS Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
2023	J	`jnl`	Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. CoRR Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
2023	A*	`conf`	Curriculum-Based Imitation of Versatile Skills. ICRA Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
2023	J	`jnl`	Curriculum-Based Imitation of Versatile Skills. CoRR Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
2023	J	`jnl`	Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann
2023	J	`jnl`	Reinforcement Learning from Multiple Sensors via Joint Representations. CoRR Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
2022	—	`conf`	End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. Robotics: Science and Systems Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
2022	J	`jnl`	End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. CoRR Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
2022	A*	`conf`	Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
2022	J	`jnl`	Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
2022	Misc	`conf`	Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRL Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann
2022	J	`jnl`	Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRR Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksandar Taranovic, Gerhard Neumann
2022	J	`jnl`	On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. CoRR Philipp Becker, Gerhard Neumann
2022	J	`jnl`	On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. Philipp Becker, Gerhard Neumann
2021	A*	`conf`	Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
2021	J	`jnl`	Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
2021	B	`conf`	Safety Assurance of Machine Learning for Chassis Control Functions. SAFECOMP Simon Burton, Iwo Kurzidem, Adrian Schwaiger, Philipp Schleiss, Michael Unterreiner, Torben Gräber, Philipp Becker
2021	Misc	`conf`	Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRL Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
2021	J	`jnl`	Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRR Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
2021	J	`jnl`	Switching Recurrent Kalman Networks. CoRR Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann
2021	J	`jnl`	Versatile Inverse Reinforcement Learning via Cumulative Rewards. CoRR Niklas Freymuth, Philipp Becker, Gerhard Neumann
2020	Misc	`conf`	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRL Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
2020	J	`jnl`	Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRR Vaisakh Shaj, Philipp Becker, Dieter Buchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
2020	A*	`conf`	Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. ICLR Philipp Becker, Oleg Arenz, Gerhard Neumann
2020	J	`jnl`	Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. CoRR Philipp Becker, Oleg Arenz, Gerhard Neumann
2019	A*	`conf`	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. ICML Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann
2019	J	`jnl`	Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. CoRR Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann
2012	J	`jnl`	Das Dilemma der Cloud-Anbieter zwischen US Patriot Act und BDSG. Computer und Recht Philipp Becker, Julia Nikolaeva
2011	—	`conf`	Black-Burst-Based Quality-of-Service Routing (BBQR) for Wireless Ad-Hoc Networks. NOTERE Philipp Becker, Martin Birtel, Dennis Christmann, Reinhard Gotzhein
2011	—	`conf`	Priority Scheduling in SDL. SDL Forum Dennis Christmann, Philipp Becker, Reinhard Gotzhein
2010	—	`conf`	SDL Modules - Concepts and Tool Support. SAM Philipp Becker, Marc Krämer
2009	—	`conf`	Model-Driven Development of Time-Critical Protocols with SDL-MDD. SDL Forum Philipp Becker, Dennis Christmann, Reinhard Gotzhein
2008	J	`jnl`	Model-driven Performance Simulation of Self-organizing Systems with PartsSim. Prax. Inf.verarb. Kommun. Philipp Becker, Reinhard Gotzhein, Thomas Kuhn
2007	C	`conf`	MacZ - A Quality-of-Service MAC Layer for Ad-hoc Networks. HIS Philipp Becker, Reinhard Gotzhein, Thomas Kuhn
2006	—	`conf`	A Simulator Interconnection Framework for the Accurate Performance Simulation of SDL Models. SAM Thomas Kuhn, Philipp Becker