A curated list of things that I find interesting.

Research Topics

  • Bias-Variance Tradeoff in Deep Learning
  • Combining Machine Learning with Analytical Physics
  • View Transfer and Self-Supervised Learning from the Bayesian perspective
  • Combining Deep Learning with Classical Algorithms

Research Questions

  • What makes a good model and what are the hypotheses based on which we state it is state-of-the-art?
  • What is a Out of Distribution, Anomalous from a formal perspective?
  • Why do we even perform density estimation?

Books where I know my stuff

  • Ian Goodfellow: Deep Learning Book
  • Matthias Bartelmann: Theoretische Physik
  • Richard Feynman: Feynman Lectures

Books – that I have actually read

  • Roy F. Baumeister: Willpower
  • Daniel Kahnemann: Thinking, Fast and Slow
  • Hans-Hermann Dubben: Der Hund der Eier legt
  • Idris Shah: Die Weisheit der Narren
  • Macchiavelli: The Prince
  • Sun Tzu: The Art of War
  • JRR Tolkien: Lord of the Rings & Silmarillion
  • George R. Martin: A Song of Ice and Fire
  • Patrick Rothfuss: Kingkiller Chronicles
  • Douglas Adams: The Hitchhiker’s Guide to the Galaxy
  • Adolph Freiherr Knigge: Über den Umgang mit Menschen

Blogs – that I actually read