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

• Matt Might
• Lilian Weng
• Zach Holman
• Jan Altosaar
• Andrej Karpathy Head of AI at Tesla