Philipp Becker

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 32

Top Topics

Rotationally Invariant

Reinforcement Learning

Top Venues

Publications

Niklas Freymuth, Philipp Dahlinger, Tobias Würth, Philipp Becker, Aleksandar Taranovic, Onno Grönheim, Luise Kärger, Gerhard Neumann
Iterative Sizing Field Prediction for Adaptive Mesh Generation From Expert Demonstrations. CoRR (2024)
Claudius Kienle, Benjamin Alt, Onur Celik, Philipp Becker, Darko Katic, Rainer Jäkel, Gerhard Neumann
MuTT: A Multimodal Trajectory Transformer for Robot Skills. CoRR (2024)
Philipp Becker, Niklas Freymuth, Gerhard Neumann
KalMamba: Towards Efficient Probabilistic State Space Models for RL under Uncertainty. CoRR (2024)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Gerhard Neumann
Vlearn: Off-Policy Learning with Efficient State-Value Function Estimation. CoRR (2024)
Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
Beyond Deep Ensembles - A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. CoRR (2023)
Philipp Becker, Sebastian Markgraf, Fabian Otto, Gerhard Neumann
Reinforcement Learning from Multiple Sensors via Joint Representations. CoRR (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. ICRA (2023)
Florian Seligmann, Philipp Becker, Michael Volpp, Gerhard Neumann
Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift. NeurIPS (2023)
Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR (2023)
Maximilian Xiling Li, Onur Celik, Philipp Becker, Denis Blessing, Rudolf Lioutikov, Gerhard Neumann
Curriculum-Based Imitation of Versatile Skills. CoRR (2023)
Philipp Dahlinger, Philipp Becker, Maximilian Hüttenrauch, Gerhard Neumann
Information-Theoretic Trust Regions for Stochastic Gradient-Based Optimization. CoRR (2023)
Niklas Freymuth, Nicolas Schreiber, Philipp Becker, Aleksander Taranovic, Gerhard Neumann
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRR (2022)
Niklas Freymuth, Nicolas Schreiber, Aleksandar Taranovic, Philipp Becker, Gerhard Neumann
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors. CoRL (2022)
Vaisakh Shaj, Dieter Buchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. CoRR (2022)
Philipp Becker, Gerhard Neumann
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. Trans. Mach. Learn. Res. 2022 (2022)
Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. CoRR (2022)
Moritz Reuss, Niels van Duijkeren, Robert Krug, Philipp Becker, Vaisakh Shaj, Gerhard Neumann
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control. Robotics: Science and Systems (2022)
Philipp Becker, Gerhard Neumann
On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning. CoRR (2022)
Vaisakh Shaj, Dieter Büchler, Rohit Sonker, Philipp Becker, Gerhard Neumann
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios. ICLR (2022)
Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRL (2021)
Onur Celik, Dongzhuoran Zhou, Ge Li, Philipp Becker, Gerhard Neumann
Specializing Versatile Skill Libraries using Local Mixture of Experts. CoRR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Maria Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. ICLR (2021)
Simon Burton, Iwo Kurzidem, Adrian Schwaiger, Philipp Schleiss, Michael Unterreiner, Torben Gräber, Philipp Becker
Safety Assurance of Machine Learning for Chassis Control Functions. SAFECOMP (2021)
Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann
Switching Recurrent Kalman Networks. CoRR (2021)
Fabian Otto, Philipp Becker, Ngo Anh Vien, Hanna Carolin Ziesche, Gerhard Neumann
Differentiable Trust Region Layers for Deep Reinforcement Learning. CoRR (2021)
Niklas Freymuth, Philipp Becker, Gerhard Neumann
Versatile Inverse Reinforcement Learning via Cumulative Rewards. CoRR (2021)
Philipp Becker, Oleg Arenz, Gerhard Neumann
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. ICLR (2020)
Vaisakh Shaj, Philipp Becker, Dieter Buchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRR (2020)
Vaisakh Shaj, Philipp Becker, Dieter Büchler, Harit Pandya, Niels van Duijkeren, C. James Taylor, Marc Hanheide, Gerhard Neumann
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning. CoRL (2020)
Philipp Becker, Oleg Arenz, Gerhard Neumann
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation. CoRR (2020)
Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. ICML (2019)
Philipp Becker, Harit Pandya, Gregor H. W. Gebhardt, Cheng Zhao, C. James Taylor, Gerhard Neumann
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces. CoRR (2019)
Philipp Becker, Julia Nikolaeva
Das Dilemma der Cloud-Anbieter zwischen US Patriot Act und BDSG. Computer und Recht 28 (3) (2012)
Philipp Becker, Martin Birtel, Dennis Christmann, Reinhard Gotzhein
Black-Burst-Based Quality-of-Service Routing (BBQR) for Wireless Ad-Hoc Networks. NOTERE (2011)
Dennis Christmann, Philipp Becker, Reinhard Gotzhein
Priority Scheduling in SDL. SDL Forum (2011)
Philipp Becker, Marc Krämer
SDL Modules - Concepts and Tool Support. SAM (2010)
Philipp Becker, Dennis Christmann, Reinhard Gotzhein
Model-Driven Development of Time-Critical Protocols with SDL-MDD. SDL Forum (2009)
Philipp Becker, Reinhard Gotzhein, Thomas Kuhn
Model-driven Performance Simulation of Self-organizing Systems with PartsSim. Prax. Inf.verarb. Kommun. 31 (1) (2008)
Philipp Becker, Reinhard Gotzhein, Thomas Kuhn
MacZ - A Quality-of-Service MAC Layer for Ad-hoc Networks. HIS (2007)
Thomas Kuhn, Philipp Becker
A Simulator Interconnection Framework for the Accurate Performance Simulation of SDL Models. SAM (2006)