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Learning to Discover : Advanced Pattern Recognition

14–25 Oct 2019
Institut Pascal, Orsay. Paris
Europe/Zurich timezone

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Session

Scientific Session

14 Oct 2019, 11:00
Institut Pascal, Orsay. Paris

Institut Pascal, Orsay. Paris

Conveners

Scientific Session: Pattern recognition in HEP

  • Markus Elsing (CERN)

Scientific Session: Pattern recognition

  • Talbot Hugues (CentraleSupélec, Université Paris-Saclay)

Scientific Session: Summary of the Tracking ML Challenge

  • Moritz Kiehn (Universite de Geneve (CH))

Scientific Session: Track reconstruction with similarity hashing

  • Sabrina Amrouche (Université de Geneve (CH))

Scientific Session: Graph networks for track reconstruction

  • Marcel Kunze (Heidelberg University)

Scientific Session: GPU usage in HEP

  • Felice Pantaleo (CERN)
  • Marco Rovere (CERN)

Scientific Session: Variable latency tracking at 30 MHz

  • Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))

Scientific Session: Performance vs Portability vs Productivity vs Precision : a trail in the hardware and software jungle.

  • David Chamont (LAL)

Scientific Session: Quantum Computing meets HEP

  • Lucy Linder (Lawrence Berkeley National Laboratory)

Scientific Session: Introduction to random matrices and tensors, and application to Principal Component Analysis

  • Vasily Sazonov (U)

Scientific Session: Optical Processing Unit

  • Laurent Daudet

Scientific Session: Event display in HEP

  • Edward Moyse (University of Massachusetts (US))

Scientific Session: Virtual Reality and Augmented Reality in HEP

  • Isenberg Tobias

Scientific Session: HEP.TrkX, EXA.TrkX and beyond

  • Jean-Roch Vlimant (California Institute of Technology (US))

Scientific Session: Scattering transform for pattern recognition

  • Edouard Oyallon

Scientific Session: Detector and Algorithm development with ACTS

  • Andreas Salzburger (CERN)

Scientific Session: A classical fast tracking algorithm: Mikado

  • Sergey Gorbunov (Johann-Wolfgang-Goethe Univ. (DE))

Scientific Session: Timing in pattern and event reconstruction

  • Corentin Allaire (Centre National de la Recherche Scientifique (FR))

Scientific Session: Fast indexing based on the latent space representation

  • Slava Voloshynovskiy

Scientific Session: Graph networks for vertexing

  • Jonathan Shlomi (Weizmann Institute of Science (IL))

Description

Standard scientific session.
Format: 45 minutes contribution + 45 minutes discussion

Presentation materials

There are no materials yet.

  1. 4. Pattern Recognition in HEP
    Markus Elsing (CERN)
    14/10/2019, 11:00

    Review and outlook on track reconstruction & pattern recognition in high energy physics

    Go to contribution page
  2. 5. Path operators for thin objects restoration
    Prof. Talbot Hugues (CentraleSupélec, Université Paris-Saclay)
    14/10/2019, 14:00

    In this talk we will present path operators, which are efficient recursive mathematical morphology connected operators that use paths as structuring elements. These operators are designed to preserve thin objects in images, such as hair, cilia, vessels, oriented textures, etc, which are traditionally very difficult to filter using classical operators in many settings. By combining these...

    Go to contribution page
  3. 6. Summary of the TrackML Challenge
    Moritz Kiehn (Universite de Geneve (CH))
    15/10/2019, 09:30
  4. 7. Q&A, Discussion
    15/10/2019, 10:30
  5. 8. Track reconstruction with similarity hashing
    Sabrina Amrouche (Université de Geneve (CH))
    15/10/2019, 11:30
  6. 9. Q&A, Discussion
    15/10/2019, 12:30
  7. 10. Graph networks for track reconstruction
    Marcel Kunze (Heidelberg University)
    15/10/2019, 14:00
  8. 11. Q&A, Discussion
    15/10/2019, 15:00
  9. 12. GPU usage in HEP
    Felice Pantaleo (CERN)
    16/10/2019, 09:30
  10. 13. Q&A, Discussion
    16/10/2019, 10:30
  11. 14. Variable latency tracking at 30 MHz
    Vladimir Gligorov (Centre National de la Recherche Scientifique (FR))
    16/10/2019, 11:30
  12. 15. Q&A, Discussion
    16/10/2019, 12:30
  13. 16. Performance vs Portability vs Productivity vs Precision : a trail in the hardware and software jungle.
    David Chamont (LAL)
    16/10/2019, 14:00
  14. 17. Q&A, Discussion
    16/10/2019, 15:00
  15. 18. Quantum Computing meets HEP
    Lucy Linder
    17/10/2019, 09:30
  16. 19. Q&A, Discussion
    17/10/2019, 10:30
  17. 49. Introduction to random matrices and tensors, and application to Principal Component Analysis)
    17/10/2019, 11:30
  18. 20. Optical random features for large-scale machine learning
    Laurent Daudet
    17/10/2019, 14:00
  19. 21. Demo of OPU on ML applications
    Iacopo Poli
    17/10/2019, 14:45
  20. 22. Event Displays in HEP
    Edward Moyse (University of Massachusetts (US))
    18/10/2019, 09:30
  21. 23. Q&A, Discussion
    18/10/2019, 10:30
  22. 24. VR and AR in HEP
    Tobias Isenberg (Inria)
    18/10/2019, 11:30
  23. 25. Q&A, Discussion
    18/10/2019, 12:30
  24. 26. HEP.TrkX, Exa.TrkX & beyond
    Jean-Roch Vlimant (California Institute of Technology (US))
    21/10/2019, 09:45
  25. 27. Q&A, Discussion
    21/10/2019, 10:45
  26. 28. Scattering transform for pattern recognition
    Edouard Oyallon (Centre de Vision Numérique)
    21/10/2019, 11:30
  27. 29. Q&A, Discussion
    21/10/2019, 12:30
  28. 30. ACTS Status & plans
    Andreas Salzburger (CERN)
    21/10/2019, 14:00
  29. 31. Q&A, Discussion
    21/10/2019, 15:00
  30. 32. The Mikado algorithm & beyond
    Sergey Gorbunov (Johann-Wolfgang-Goethe Univ. (DE))
    22/10/2019, 09:30
  31. 33. Q&A, Discussion
    22/10/2019, 10:30
  32. 34. Timing detectors in Phase-2
    Corentin Allaire (Centre National de la Recherche Scientifique (FR))
    22/10/2019, 11:15
  33. 35. Timing in propagation and pattern recognition
    Fabian Klimpel (Max-Planck-Institut fur Physik (DE))
    22/10/2019, 11:45
  34. 36. Q&A, Discussion
    22/10/2019, 12:15
  35. 37. Fast indexing based on the latent space representation
    Slava Voloshynovskiy (Université de Genève)
    24/10/2019, 10:30
  36. 38. Q&A, Discussion
    24/10/2019, 11:30
  37. 39. Graph networks for vertex reconstruction
    Jonathan Shlomi (Weizmann Institute of Science (IL))
    24/10/2019, 13:30
  38. 40. Q&A, Discussion
    24/10/2019, 14:30
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