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Rainer Schlosser

2 accepted papers

2026

Energy-Efficient Random Variate Generation via Compressed Lookup Tables

ICLR 2026poster

Generating (pseudo-)random variates lies at the core of probabilistic machine learning and prediction algorithms and yet remains a major bottleneck due to its high computational and energy cost. In this paper, we introduce a general and scalable sampling strategy that enables fast and energy-efficie…

Cited by 0SourcecodeScholar
2024

Hieros: Hierarchical Imagination on Structured State Space Sequence World Models

ICML 2024poster

One of the biggest challenges to modern deep reinforcement learning (DRL) algorithms is sample efficiency. Many approaches learn a world model in order to train an agent entirely in imagination, eliminating the need for direct environment interaction during training. However, these methods often suf…