Christian Daniel

ORCID

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 19

Top Venues

Darmstadt University of Technology, Germany (PHD)

Education History

Darmstadt University of Technology, Germany

PHD

Publications

Michael Volpp, Philipp Dahlinger, Philipp Becker, Christian Daniel, Gerhard Neumann
Accurate Bayesian Meta-Learning by Accurate Task Posterior Inference. ICLR (2023)
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Christian Daniel, Dotan Di Castro
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. CoRR (2021)
Joel Oren, Chana Ross, Maksym Lefarov, Felix Richter, Ayal Taitler, Zohar Feldman, Dotan Di Castro, Christian Daniel
SOLO: Search Online, Learn Offline for Combinatorial Optimization Problems. SOCS (2021)
Michael Volpp, Fabian Flürenbrock, Lukas Großberger, Christian Daniel, Gerhard Neumann
Bayesian Context Aggregation for Neural Processes. ICLR (2021)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. CoRR (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. CoRR (2020)
Michael Volpp, Lukas P. Fröhlich, Kirsten Fischer, Andreas Doerr, Stefan Falkner, Frank Hutter, Christian Daniel
Meta-Learning Acquisition Functions for Transfer Learning in Bayesian Optimization. ICLR (2020)
Lukas P. Fröhlich, Edgar D. Klenske, Julia Vinogradska, Christian Daniel, Melanie N. Zeilinger
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization. AISTATS (2020)
Hans Kersting, Nicholas Krämer, Martin Schiegg, Christian Daniel, Michael Tiemann, Philipp Hennig
Differentiable Likelihoods for Fast Inversion of 'Likelihood-Free' Dynamical Systems. ICML (2020)
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
Trajectory-Based Off-Policy Deep Reinforcement Learning. ICML (2019)
Andreas Doerr, Michael Volpp, Marc Toussaint, Sebastian Trimpe, Christian Daniel
Trajectory-Based Off-Policy Deep Reinforcement Learning. CoRR (2019)
Michael Volpp, Lukas P. Fröhlich, Andreas Doerr, Frank Hutter, Christian Daniel
Meta-Learning Acquisition Functions for Bayesian Optimization. CoRR (2019)
Andreas Doerr, Christian Daniel, Martin Schiegg, Duy Nguyen-Tuong, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
Probabilistic Recurrent State-Space Models. ICML (2018)
Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
Using probabilistic movement primitives in robotics. Auton. Robots 42 (3) (2018)
Andreas Doerr, Christian Daniel, Duy Nguyen-Tuong, Alonso Marco, Stefan Schaal, Marc Toussaint, Sebastian Trimpe
Optimizing Long-term Predictions for Model-based Policy Search. CoRL (2017)
Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
Hierarchical Relative Entropy Policy Search. J. Mach. Learn. Res. 17 (2016)
Christian Daniel, Jonathan Taylor, Sebastian Nowozin
Learning Step Size Controllers for Robust Neural Network Training. AAAI (2016)
Christian Daniel, Herke van Hoof, Jan Peters, Gerhard Neumann
Probabilistic inference for determining options in reinforcement learning. Mach. Learn. 104 (2-3) (2016)
Christian Scheifele, Armin Lechler, Christian Daniel, Weiliang Xu
Real-time extension of ROS based on a network of modular blocks for highly precise motion generation. AMC (2016)
Oliver Kroemer, Christian Daniel, Gerhard Neumann, Herke van Hoof, Jan Peters
Towards learning hierarchical skills for multi-phase manipulation tasks. ICRA (2015)
Christian Daniel, Oliver Kroemer, Malte Viering, Jan Metz, Jan Peters
Active reward learning with a novel acquisition function. Auton. Robots 39 (3) (2015)
Simone Parisi, Hany Abdulsamad, Alexandros Paraschos, Christian Daniel, Jan Peters
Reinforcement learning vs human programming in tetherball robot games. IROS (2015)
Christian Daniel, Malte Viering, Jan Metz, Oliver Kroemer, Jan Peters
Active Reward Learning. Robotics: Science and Systems (2014)
Gerhard Neumann, Christian Daniel, Alexandros Paraschos, Andras Gabor Kupcsik, Jan Peters
Learning modular policies for robotics. Frontiers Comput. Neurosci. 8 (2014)
Christian Daniel, Gerhard Neumann, Jan Peters
Autonomous reinforcement learning with hierarchical REPS. IJCNN (2013)
Alexandros Paraschos, Christian Daniel, Jan Peters, Gerhard Neumann
Probabilistic Movement Primitives. NIPS (2013)
Christian Daniel, Gerhard Neumann, Oliver Kroemer, Jan Peters
Learning sequential motor tasks. ICRA (2013)
Christian Daniel, Gerhard Neumann, Jan Peters
Learning concurrent motor skills in versatile solution spaces. IROS (2012)
Christian Daniel, Gerhard Neumann, Jan Peters
Hierarchical Relative Entropy Policy Search. AISTATS (2012)
Alécio Pedro Delazari Binotto, Christian Daniel, Daniel Weber, Arjan Kuijper, André Stork, Carlos Eduardo Pereira, Dieter W. Fellner
Iterative SLE Solvers over a CPU-GPU Platform. HPCC (2010)

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Publication Activity (10 Years)

Top Topics

Top Venues

Christian Daniel