- I recently gave my installation talk after being tenured. The video of the talk is now available on the university's YouTube channel: youtu.be/R1UQoflPTDg 1/n
- I talked about "Making Sense of Learning Machines": • How modern machine learning has learned to cope with natural, “chaotic” data – images, text, sound • Why the big breakthroughs of the last 10–15 years matter • What we lack and what we would like to understand 2/n
- My own research, together with my group, focuses less on building the giant models and more on designing the building blocks behind them: model components, inductive biases, training principles, and inference methods that make AI systems more robust, data-efficient, and uncertainty-aware. 3/nNov 24, 2025 17:07
- I'm feeling grateful to colleagues, students, collaborators, and everyone who joined the talk – and excited about the next steps in research on machines that learn, and maybe one day, truly make sense. 🙏✨ 4/n
