ML for the Theory Frontier - Jesse Thaler

ML for the Theory Frontier - Jesse Thaler

Kavli Institute for Theoretical Physics via YouTube Direct link

Machine Learning Ingredients

5 of 14

5 of 14

Machine Learning Ingredients

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

ML for the Theory Frontier - Jesse Thaler

Automatically move to the next video in the Classroom when playback concludes

  1. 1 Intro
  2. 2 My (Evolving) Perspective
  3. 3 The Lens of Machine Learning
  4. 4 Eg Likelihood Ratio Trick
  5. 5 Machine Learning Ingredients
  6. 6 What is the Machine Learning
  7. 7 Deep Learning for Lattice Field Theory (TF05)
  8. 8 Theoretical Priors Network Architectures
  9. 9 Optimal Transport for Collider Geometry
  10. 10 Opening a Dialogue Between Communities
  11. 11 ML for Formal Theory?
  12. 12 ML for SM Theory?
  13. 13 Machine Learning for the Theory Frontier
  14. 14 ML for BSM Theory!

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.