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IPA workshop on Machine Learning for particle physics and astrophysics (IPA-ML)

Mar 20 – 22, 2023
ETH Zurich
Europe/Zurich timezone

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Mar 21, 2023, 9:00 AM
HIT E 51 (ETH Zurich)

HIT E 51

ETH Zurich

Hönggerberg campus 8093 Zurich Switzerland

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  1. 16. Introduction on neutrino experiments workflow with emphasis on challenges
    Prof. Davide Sgalaberna (ETH Zurich)
    3/21/23, 9:00 AM
  2. 21. Image reconstruction in a 3D plastic scintillator detector using deep learning
    Dr Saul Alonso Monsalve (ETH Zurich)
    3/21/23, 9:20 AM
  3. 17. Neutrino interaction classification and transfer learning
    Dr Leigh Whitehead (University of Cambridge)
    3/21/23, 9:40 AM
  4. 19. Event filtering and mitigation of simulation biases
    Dr Marta Babicz (University of Zurich)
    3/21/23, 10:00 AM
  5. 20. Event reweighting and generative models in neutrino experiments
    Dr Cristovao Vilela (CERN)
    3/21/23, 10:50 AM
  6. 18. Multi-task data reconstruction chain for imaging detectors in neutrino experiments
    Prof. Kazuhiro Terao (SLAC)
    3/21/23, 11:10 AM
  7. 22. Large Scale Structure Cosmology with Artificial Intelligence
    Dr Tomasz Kacprzak (ETH Zurich)
    3/21/23, 11:30 AM
  8. 23. Cosmological constraints from combined probes of large scale structure with deep learning
    Arne Thomsen (ETH Zurich)
    3/21/23, 11:50 AM
  9. 44. Background rejection in Cherenkov Telescopes
    Prof. Adrian Biland (ETH Zurich)
    3/21/23, 1:20 PM
  10. 25. New generative AI models
    Luca Biggio (ETH Zurich)
    3/21/23, 1:40 PM
  11. 26. Geometric Learning/ Physics-informed AI for cosmology
    Dr Tilman Troester (ETH Zurich)
    3/21/23, 2:00 PM
  12. 24. PointNets for galaxy redshift surveys
    Sotirios Anagnostidis (ETH Zurich)
    3/21/23, 2:20 PM
  13. 27. Introduction on LHC experiments workflow with emphasis on challenges
    Prof. Annapaola de Cosa (ETH Zurich)
    3/21/23, 3:10 PM
  14. 30. Object identification and reconstruction
    Dr Alessandro Calandri (ETH Zurich)
    3/21/23, 3:30 PM
  15. 28. Ultrafast ML inference for triggering
    Dr Thea Aarrestad (ETH Zurich)
    3/21/23, 3:50 PM
  16. 29. Machine learning for data quality monitoring
    Roberto Seidita
    3/21/23, 4:10 PM
  17. 34. Probabilistic models in ML for HEP
    Davide Valsecchi (ETH Zurich)
    3/21/23, 4:30 PM
  18. 31. Data-MC matching
    Massimiliano Galli
    3/22/23, 9:00 AM
  19. 32. Analysis techniques
    Florian Eble
    3/22/23, 9:20 AM
  20. 35. Quantum machine learning
    Vasilis Belis (ETH Zurich)
    3/22/23, 10:00 AM
  21. 37. Machine learning applications
    Dr Mauro Verzetti (Google)
    3/22/23, 10:50 AM
  22. 36. Robotics, event-based imaging
    Prof. Davide Scaramuzza (ETH Zurich)
    3/22/23, 11:30 AM
  23. 40. Knowledge distillation
    Patrick Odagiu (ETH Zurich)
    3/22/23, 12:00 PM
  24. 33. Anomaly detection
    Roberto Seidita (ETH Zurich)
  25. 39. Encoding/decoding
    Doruk Efe Gökmen
  26. 38. Normalizing flows
    Javad Komijani
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