Philipp Becker
14 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer π£ Hot Topic Early Bird π Conference Polyglot (6)
π
Academic Marathon
(6)
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Interdisciplinary Bridge
π€
Dynamic Duo
(13)
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Century Club
(14)
π₯
Unstoppable
(7)
Conferences
ICLR (6)
CORL (4)
ICCV (1)
ICML (1)
NIPS (1)
RSS (1)
Top co-authors
Keywords
recurrent kalman network
(2)
inverse dynamics
(2)
image generation
(1)
imitation learning
(1)
policy optimization
(1)
maximum entropy
(1)
variational inference
(1)
text-to-image synthesis
(1)
distribution matching
(1)
kalman filter
(1)
distribution shift
(1)
trajectory-based planning
(1)
probabilistic model
(1)
recurrent neural network
(1)
generalization capability
(1)
mixture of expert
(1)
uncertainty estimation
(1)
bayesian deep learning
(1)
linear attention
(1)
diffusion transformer
(1)
Papers
Efficient Off-Policy Learning for High-Dimensional Action Spaces
ICLR 2025
Geometry-aware RL for Manipulation of Varying Shapes and Deformable Objects
ICLR 2025
EDiT: Efficient Diffusion Transformers with Linear Compressed Attention
ICCV 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
NIPS 2023
End-to-End Learning of Hybrid Inverse Dynamics Models for Precise and Compliant Impedance Control
RSS 2022
Inferring Versatile Behavior from Demonstrations by Matching Geometric Descriptors
CORL 2022
Hidden Parameter Recurrent State Space Models For Changing Dynamics Scenarios
ICLR 2022
Differentiable Trust Region Layers for Deep Reinforcement Learning
ICLR 2021
Specializing Versatile Skill Libraries using Local Mixture of Experts
CORL 2021
Expected Information Maximization: Using the I-Projection for Mixture Density Estimation
ICLR 2020
Action-Conditional Recurrent Kalman Networks For Forward and Inverse Dynamics Learning
CORL 2020
Recurrent Kalman Networks: Factorized Inference in High-Dimensional Deep Feature Spaces
ICML 2019