11 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CY2025
Expert Assessment: The Systemic Environmental Risks of Artficial Intelligence
Julian Schön, Lena Hoffmann, Nikolas Becker
Artificial intelligence (AI) is often presented as a key tool for addressing societal challenges, such as climate change. At the same time, AI's environmental footprint is expandin…
cs.LG2023★ 11 cited
Operating critical machine learning models in resource constrained regimes
Raghavendra Selvan, Julian Schön, Erik B Dam
The accelerated development of machine learning methods, primarily deep learning, are causal to the recent breakthroughs in medical image analysis and computer aided intervention.…
eess.IV2022
Interpreting Latent Spaces of Generative Models for Medical Images using Unsupervised Methods
Julian Schön, Raghavendra Selvan, Jens Petersen
Generative models such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs) play an increasingly important role in medical image analysis. The latent space…