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Cited by
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Since 2019
Citations
7
7
h-index
1
1
i10-index
0
0
0
4
2
2021
2022
2023
2024
1
1
4
1
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Co-authors
Hany Abdulsamad
Postdoc, Aalto University
Verified email at aalto.fi
Pascal Klink
Amazon Robotics
Verified email at amazon.de
Jan Peters
Professor for Intelligent Autonomous Systems/TU Darmstadt, Dept. Head/German AI Research Center DFKI
Verified email at ias.tu-darmstadt.de
Mohammad Emtiyaz Khan
Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo
Verified email at postman.riken.jp
Thomas Möllenhoff
Research Scientist, RIKEN AIP
Verified email at postman.riken.jp
Dharmesh Tailor
University of Amsterdam
Verified email at uva.nl
Rio Yokota
Professor, Tokyo Institute of Technology
Verified email at gsic.titech.ac.jp
Gian Maria Marconi
Machine Learning Research Engineer, Woven by Toyota
Verified email at woven.toyota
Nico Daheim
TU Darmstadt, ETH Zürich, ELLIS
Verified email at ukp.informatik.tu-darmstadt.de
Daniel Cremers
Technical University of Munich
Verified email at tum.de
Iryna Gurevych
Full Professor, TU Darmstadt; Adjunct Professor, MBZUAI, Abu Dhabi
Verified email at cs.tu-darmstadt.de
Lu Xu
Postdoc, Riken AIP
Verified email at riken.jp
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Peter Nickl
Research Assistant, Center for Advanced Intelligence Project (AIP),
RIKEN
, Tokyo
Verified email at riken.jp -
Homepage
Machine Learning
Bayesian Deep Learning
Reinforcement Learning
Computational Neuroscience
Articles
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Year
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning
H Abdulsamad, P Nickl, P Klink, J Peters
IEEE International Conference on Robotics and Automation (ICRA)
, 2021
5
2021
The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data
P Nickl, L Xu, D Tailor, T Möllenhoff, ME Khan
NeurIPS
, 2023
1
2023
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics
H Abdulsamad, P Nickl, P Klink, J Peters
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
, 2023
1
2023
Variational Learning is Effective for Large Deep Networks
Y Shen, N Daheim, B Cong, P Nickl, GM Marconi, C Bazan, R Yokota, ...
arXiv preprint arXiv:2402.17641
, 2024
2024
Bayesian Inference for Regression Models using Nonparametric Infinite Mixtures
P Nickl
TU Darmstadt
, 2019
2019
Integrated truck and manpower scheduling in cross-docks - design and analysis of a heuristic algorithm
P Nickl
Tongji University
, 2018
2018
Investigation of oscillating bubbles/drops with different flow solvers and with various surface tension models
P Nickl
TU Darmstadt
, 2015
2015
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