Philipp Becker

According to our database, Philipp Becker authored at least 32 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity.

Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

CoRR, 2024

PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds.

Balázs Gyenes, Nikolai Franke, Philipp Becker, Gerhard Neumann

CoRR, 2024

MuTT: A Multimodal Trajectory Transformer for Robot Skills.

Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann

CoRR, 2024

KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty.

Philipp Becker, Niklas Freymuth, Gerhard Neumann

CoRR, 2024

Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations.

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann

CoRR, 2024

Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation.

Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann

CoRR, 2024

Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL.

Philipp Becker, Sebastian Mossburger, Fabian Otto, Gerhard Neumann

RLJ, 2024

2023

Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization.

Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann

CoRR, 2023

Reinforcement Learning from Multiple Sensors via Joint Representations.

Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann

CoRR, 2023

Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift.

Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Curriculum-Based Imitation of Versatile Skills.

Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference.

Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning.

Philipp Becker, Gerhard Neumann

Trans. Mach. Learn. Res., 2022

End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control.

Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios.

Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann

Proceedings of the Tenth International Conference on Learning Representations, 2022

Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors.

Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 2022

2021

Switching Recurrent Kalman Networks.

Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann

CoRR, 2021

Versatile Inverse Reinforcement Learning via Cumulative Rewards.

Niklas Freymuth, Philipp Becker, Gerhard Neumann

CoRR, 2021

Safety Assurance of Machine Learning for Chassis Control Functions.

Simon Burton, Iwo Kurzidem, Adrian Schwaiger, Philipp Schleiss, Michael Unterreiner, Torben Gräber, Philipp Becker

Proceedings of the Computer Safety, Reliability, and Security, 2021

Differentiable Trust Region Layers for Deep Reinforcement Learning.

Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann

Proceedings of the 9th International Conference on Learning Representations, 2021

Specializing Versatile Skill Libraries using Local Mixture of Experts.

Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Expected Information Maximization: Using the I-Projection for Mixture Density Estimation.

Philipp Becker, Oleg Arenz, Gerhard Neumann

Proceedings of the 8th International Conference on Learning Representations, 2020

Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning.

Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann

Proceedings of the 4th Conference on Robot Learning, 2020

2019

Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces.

Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann

Proceedings of the 36th International Conference on Machine Learning, 2019

2012

Das Dilemma der Cloud-Anbieter zwischen US Patriot Act und BDSG.

Philipp Becker, Julia Nikolaeva

Computer und Recht, 2012

2011

Priority Scheduling in SDL.

Dennis Christmann, Philipp Becker, Reinhard Gotzhein

Proceedings of the SDL 2011: Integrating System and Software Modeling, 2011

Black-Burst-Based Quality-of-Service Routing (BBQR) for Wireless Ad-Hoc Networks.

Philipp Becker, Martin Birtel, Dennis Christmann, Reinhard Gotzhein

Proceedings of the 11th Annual International Conference on New Technologies of Distributed Systems, 2011

2010

SDL Modules - Concepts and Tool Support.

Philipp Becker, Marc Krämer

Proceedings of the System Analysis and Modeling: About Models - 6th International Workshop, 2010

2009

Model-Driven Development of Time-Critical Protocols with SDL-MDD.

Philipp Becker, Dennis Christmann, Reinhard Gotzhein

Proceedings of the SDL 2009: Design for Motes and Mobiles, 2009

2008

Model-driven Performance Simulation of Self-organizing Systems with PartsSim.

Philipp Becker, Reinhard Gotzhein, Thomas Kuhn

Prax. Inf.verarb. Kommun., 2008

2007

MacZ - A Quality-of-Service MAC Layer for Ad-hoc Networks.

Philipp Becker, Reinhard Gotzhein, Thomas Kuhn

Proceedings of the 7th International Conference on Hybrid Intelligent Systems, 2007

2006

A Simulator Interconnection Framework for the Accurate Performance Simulation of SDL Models.

Thomas Kuhn, Philipp Becker

Proceedings of the System Analysis and Modeling: Language Profiles, 2006