Scaling the performance of machine learning frameworks so they can train larger neural networks – or so the same training a lot faster – has meant that the... (more…)

By detecting trends that humans are unable to spot, researchers hope to treat the disorder more effectively. (more…)

Getting labeled training data has become the key development bottleneck in supervised machine learning. We provide a broad, high-level overview of recent weak supervision approaches, where noisier or higher-level supervision is used as a more expedient an... (more…)

Mini-course about machine learning given at GradDays of Heidelberg University... (more…)

If you'd like to get updates on how my progress goes, feel free to subscribe here or follow me on twitter! In 2020 and beyond, I plan to dive more deeply into independent research projects in Machine Learning and Theoretical Neuroscience. It has been on m... (more…)