Marc Höftmann

According to our database, Marc Höftmann authored at least 6 papers between 2023 and 2025.

Collaborative distances:

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

2025

A survey on self-supervised methods for visual representation learning.

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

Mach. Learn., April, 2025

Simple, Good, Fast: Self-Supervised World Models Free of Baggage.

Jan Robine, Marc Höftmann, Stefan Harmeling

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023

Backward Learning for Goal-Conditioned Policies.

Marc Höftmann, Jan Robine, Stefan Harmeling

CoRR, 2023

A Survey on Self-Supervised Representation Learning.

Tobias Uelwer, Jan Robine, Stefan Sylvius Wagner, Marc Höftmann, Eric Upschulte, Sebastian Konietzny, Maike Behrendt, Stefan Harmeling

CoRR, 2023

Time-Myopic Go-Explore: Learning A State Representation for the Go-Explore Paradigm.

Marc Höftmann, Jan Robine, Stefan Harmeling

CoRR, 2023

Transformer-based World Models Are Happy With 100k Interactions.

Jan Robine, Marc Höftmann, Tobias Uelwer, Stefan Harmeling

Proceedings of the Eleventh International Conference on Learning Representations, 2023