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Peter Nickl
Peter Nickl
Research Assistant, Center for Advanced Intelligence Project (AIP), RIKEN, Tokyo
Email verificata su riken.jp - Home page
Titolo
Citata da
Citata da
Anno
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
52021
The Memory Perturbation Equation: Understanding Model’s Sensitivity to Data
P Nickl, L Xu, D Tailor, T Möllenhoff, ME Khan
NeurIPS, 2023
12023
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
12023
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–7