Peter Nickl

According to our database, Peter Nickl authored at least 5 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Variational Hierarchical Mixtures for Probabilistic Learning of Inverse Dynamics.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Variational Learning is Effective for Large Deep Networks.

Yuesong Shen, Nico Daheim, Bai Cong, Peter Nickl, Gian Maria Marconi, Clement Bazan, Rio Yokota, Iryna Gurevych, Daniel Cremers, Mohammad Emtiyaz Khan, Thomas Möllenhoff

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

The Memory-Perturbation Equation: Understanding Model's Sensitivity to Data.

Peter Nickl, Lu Xu, Dharmesh Tailor, Thomas Möllenhoff, Mohammad Emtiyaz Khan

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Variational Hierarchical Mixtures for Learning Probabilistic Inverse Dynamics.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

CoRR, 2022

2021

A Variational Infinite Mixture for Probabilistic Inverse Dynamics Learning.

Hany Abdulsamad, Peter Nickl, Pascal Klink, Jan Peters

Proceedings of the IEEE International Conference on Robotics and Automation, 2021