Author

Jonas Hübotter

2 papers indexed here

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

#machine learning Preprint Oct 2026

Task Vector Descent: Learning from Non-IID Batches

A central challenge in continual learning is to acquire new knowledge without forgetting what the model has already learned. This challenge appears in language model training when training data comes from various domain-, user-, or task-specific distributions that are encountered unevenly over time. In such settings, s...

Anton Baumann, Jonas Hübotter, Zeynep Akata et al. · 0 citations

#machine learning Preprint Sep 2026

Deep Epistemic Value Functions for Optimistic Exploration

A systematic empirical study of how epistemic uncertainty is represented, propagated, and optimized in deep epistemic value functions, and uncover distinct failure modes along each of these axes provides evidence that deep epistemic value functions are a promising path toward scalable, principled exploration.

Leander Diaz-Bone, M. Bagatella, Jonas Hübotter et al. · 0 citations