David Drexel

According to our database, David Drexel authored at least 2 papers between 2023 and 2026.

Collaborative distances:

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

2026

Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks.

Muthukumar Pandaram, Jakob J. Hollenstein, David Drexel, Samuele Tosatto, Antonio Jose Rodríguez-Sánchez, Justus H. Piater

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2023

HE-MAN - Homomorphically Encrypted MAchine learning with oNnx models.

Martin Nocker, David Drexel, Michael Rader, Alessio Montuoro, Pascal Schöttle

Proceedings of the 8th International Conference on Machine Learning Technologies, 2023