David Brellmann

According to our database, David Brellmann authored at least 5 papers between 2023 and 2025.

Collaborative distances:

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

2025

Improving Semantic Uncertainty Quantification in LVLMs with Semantic Gaussian Processes.

Joseph Hoche, Andrei Bursuc, David Brellmann, Gilles Louppe, Pavel Izmailov, Angela Yao, Gianni Franchi

CoRR, December, 2025

2024

Experimental and Theoretical Analysis of Reinforcement Learning Algorithms. (Analyse expérimentale et théorique des algorithmes d'apprentissage par renforcement).

David Brellmann

PhD thesis, 2024

Double Descent Meets Out-of-Distribution Detection: Theoretical Insights and Empirical Analysis on the role of model complexity.

Mouïn Ben Ammar, David Brellmann, Arturo Mendoza, Antoine Manzanera, Gianni Franchi

CoRR, 2024

On Double Descent in Reinforcement Learning with LSTD and Random Features.

David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Fourier Features in Reinforcement Learning with Neural Networks.

David Brellmann, David Filliat, Goran Frehse

Trans. Mach. Learn. Res., 2023