3 papers
cs.CY2025
AI, Climate, and Regulation: From Data Centers to the AI Act
Kai Ebert, Nicolas Alder, Ralf Herbrich +1
We live in a world that is experiencing an unprecedented boom of AI applications that increasingly penetrate and enhance all sectors of private and public life, from education, med…
cs.LG2025
Approximate Message Passing for Bayesian Neural Networks
Romeo Sommerfeld, Christian Helms, Ralf Herbrich
Bayesian neural networks (BNNs) offer the potential for reliable uncertainty quantification and interpretability, which are critical for trustworthy AI in high-stakes domains. Howe…
physics.comp-ph2024
Energy-Efficient Sampling Using Stochastic Magnetic Tunnel Junctions
Nicolas Alder, Shivam Nitin Kajale, Milin Tunsiricharoengul +2
(Pseudo)random sampling, a costly yet widely used method in (probabilistic) machine learning and Markov Chain Monte Carlo algorithms, remains unfeasible on a truly large scale due…