Welcome to my Blog!

The main topics I will cover are related to my research field as a Ph.D. Student:

  1. Uncertainty Estimation Methods in Deep Learning
    • Bayesian Neural Networks, Deep Ensembles, Mixture Density Networks,…
  2. Quality Metrics for Uncertainty Estimation
  3. Autonomous Vehicles, Safety-Critical Systems, Autonomous Systems, …
  4. Run-Time Monitoring/Verification
  5. AI Safety



Enjoy Reading This Article?

Here are some more articles you might like to read next:

  • Probability & Statistics Fundamentals: Part I
  • Notes on Simple Approximate Inference in Bayesian Neural Networks
  • a distill-style blog post