Robin Schiewer

According to our database, Robin Schiewer authored at least 8 papers between 2021 and 2026.

Collaborative distances:

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

2026

Dynamic sparsity in tree-structured feed-forward layers at scale.

Reza Sedghi, Robin Schiewer, Anand Subramoney, David Kappel

CoRR, April, 2026

Probing Length Generalization in Mamba via Image Reconstruction.

Jan Rathjens, Robin Schiewer, Laurenz Wiskott, Anand Subramoney

CoRR, March, 2026

2024

World model architectures in reinforcement learning: an exploration of strengths and limitations.

Robin Schiewer

PhD thesis, 2024

Hebbian Descent: A Unified View on Log-Likelihood Learning.

Jan Melchior, Robin Schiewer, Laurenz Wiskott

Neural Comput., 2024

Exploring the limits of Hierarchical World Models in Reinforcement Learning.

Robin Schiewer, Anand Subramoney, Laurenz Wiskott

CoRR, 2024

2023

Benchmarks for Physical Reasoning AI.

Andrew Melnik, Robin Schiewer, Moritz Lange, Andrei Ioan Muresanu, Mozhgan Saeidi, Animesh Garg, Helge J. Ritter

Trans. Mach. Learn. Res., 2023

2022

Latent Representation Prediction Networks.

Hlynur Davíð Hlynsson, Merlin Schüler, Robin Schiewer, Tobias Glasmachers, Laurenz Wiskott

Int. J. Pattern Recognit. Artif. Intell., 2022

2021

Modular Networks Prevent Catastrophic Interference in Model-Based Multi-task Reinforcement Learning.

Robin Schiewer, Laurenz Wiskott

Proceedings of the Machine Learning, Optimization, and Data Science, 2021