Peter Nickl

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 7

Top Topics

Effective Learning

Inverse Dynamics

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff
Variational Learning is Effective for Large Deep Networks. CoRR (2024)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan
The Memory Perturbation Equation: Understanding Model's Sensitivity to Data. CoRR (2023)
Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan
The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data. NeurIPS (2023)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics. CoRR (2022)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. ICRA (2021)
Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters
A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning. CoRR (2020)