1 citations · 1 across the 3 of their papers we have counts for
3 papers
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…
BALI: Learning Neural Networks via Bayesian Layerwise Inference
Richard Kurle, Alexej Klushyn, Ralf Herbrich
We introduce a new method for learning Bayesian neural networks, treating them as a stack of multivariate Bayesian linear regression models. The main idea is to infer the layerwise…
AI, Climate, and Transparency: Operationalizing and Improving the AI Act
Nicolas Alder, Kai Ebert, Ralf Herbrich +1
This paper critically examines the AI Act's provisions on climate-related transparency, highlighting significant gaps and challenges in its implementation. We identify key shortcom…