Philipp Becker

I am a machine learning researcher currently pursuing a PhD at the Karlsruhe Institute of Technology (KIT), supervised by Prof. Gerhard Neumann. I focus on generative modeling, representation learning, and learning agents with applications in robotics and publish my work at conferences such as ICLR, ICML, NeurIPS, RLC, and CoRL. During my PhD, I contributed to establishing a new research group at the FZI Research Center for Information Technology, working under the direction of Prof. Neumann. Here I participated in successful grant writing and an industry project. Before my time at KIT, I worked with the Bosch Center for Artificial Intelligence and the University of Tübingen for eight months. Furthermore, I have a Master's degree in Autonomous Systems (Computer Science) from the Technical University of Darmstadt.

I am currently interning at the Samsung AI Center in Cambridge where I work on generative AI for text to image applications and expect to graduate with my by Summer 2025.

Research

My research focuses on world models for Reinforcement Learning with multimodal and high-dimensional observations. Here, I combine probabilistic state space models with deep learning to learn dynamics models and concise representations as published in:

• Combining Reconstruction and Contrastive Methods for Multimodal Representations in RL (RLC 2024)
• On Uncertainty in Deep State Space Models for Model-Based Reinforcement Learning (TMLR 2022)
• Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces (ICML 2019)

Beyond this, I worked on projects covering a wide range of topics such as

• Imitation Learning for Versatile Behavior
• Dynamics and Representation Learning for Robotics
• Model-Free RL with a Focus on Trust Region Methods
• Bayesian Deep Learning

Here is a list of all my publications.

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