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3rd IML Machine Learning Workshop

15–18 Apr 2019
CERN
Europe/Zurich timezone
There is a live webcast for this event.

Session

Tutorials

18 Apr 2019, 09:00
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400
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Conveners

Tutorials: Part 1

  • Lorenzo Moneta (CERN)
  • Rudiger Haake (Yale University (US))

Tutorials: Part 2

  • David Rousseau (LAL-Orsay, FR)
  • Rudiger Haake (Yale University (US))

Presentation materials

There are no materials yet.

  1. 4. Introduction to the basics of deep learning
    Yannik Alexander Rath (RWTH Aachen University (DE))
    18/04/2019, 09:00
  2. 6. Physics inspired Autonomous Feature Engineering
    Marcel Rieger (RWTH Aachen University (DE))
    18/04/2019, 11:00
  3. 33. Traditional approach to network architecture optimisation
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    18/04/2019, 12:00
  4. 34. Differentiable architecture search
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    18/04/2019, 12:30
  5. 35. Bayesian approach to network design
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    18/04/2019, 15:00
  6. 36. Bayesian dropout explanation and examples
    Andrey Ustyuzhanin (Yandex School of Data Analysis (RU))
    18/04/2019, 15:30
  7. 5. Advanced Generative Adversarial Network Techniques
    Jonas Glombitza (Rheinisch-Westfaelische Tech. Hoch. (DE))
    18/04/2019, 16:45
  8. 7. Tutorial, part 1
  9. 8. Tutorial, part 2
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