Philipp Becker

14 papers · 2019–2025 · 6 venues · across top CS/AI venues

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Achievements

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🗺️ Taxonomy Completionist (25) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

🧬 Topic Evolution 🤝 Dynamic Duo (13) 🗃️ Keyword Collector (72) 📈 Trend Setter 💎 Century Club · Bronze 🔥 Unstoppable · Bronze

Venues

ICLR (6) CoRL (4) ICCV (1) ICML (1) NeurIPS (1) RSS (1)

Top co-authors

Gerhard Neumann (13) Vaisakh Shaj (3) Vien Anh Ngo (3) Michael Volpp (2) Niels van Duijkeren (2) C. James Taylor (2) Dieter Büchler (2) Harit Pandya (2) Fabian Otto (2) Niklas Freymuth (1)

Research topics

Deep Learning (11) Machine Learning (9) Artificial Intelligence (8) Optimization & Theory (7) Architectures (6) Core AI (5) Reinforcement Learning (4) Methods (3) Models (3) Robotics (2) Application Areas (2) Bayesian & Probabilistic (2) Capabilities (2) Core Methods (2) Learning Paradigms (2)

Keywords

variational inference (3) inverse dynamics (2) deep reinforcement learning (2) reinforcement learning (2) gaussian mixture model (2) recurrent kalman network (2) policy optimization (1) text-to-image synthesis (1) imitation learning (1) epistemic uncertainty (1) policy gradient (1) sample complexity (1) point cloud (1) transformer (1) image generation (1) system identification (1) kalman filter (1) distribution matching (1) time series modeling (1) importance sampling (1)

Papers

EDiT: Efficient Diffusion Transformers with Linear Compressed Attention ICCV 2025 Efficient Off-Policy Learning for High-Dimensional Action Spaces ICLR 2025 Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects ICLR 2025 PointPatchRL - Masked Reconstruction Improves Reinforcement Learning on Point Clouds CoRL 2024 Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference ICLR 2023 Beyond Deep Ensembles: A Large-Scale Evaluation of Bayesian Deep Learning under Distribution Shift NeurIPS 2023 End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control RSS 2022 Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios ICLR 2022 Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors CoRL 2022 Differentiable Trust Region Layers for Deep Reinforcement Learning ICLR 2021 Specializing Versatile Skill Libraries using Local Mixture of Experts CoRL 2021 Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning CoRL 2020 Expected Information Maximization: Using the I-Projection for Mixture Density Estimation ICLR 2020 Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces ICML 2019