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

Session

Applications

Mar 21, 2023, 9:00 AM

HIT E 51 (ETH Zurich)

16. Introduction on neutrino experiments workflow with emphasis on challenges

Prof. Davide Sgalaberna (ETH Zurich)

3/21/23, 9:00 AM

21. Image reconstruction in a 3D plastic scintillator detector using deep learning

Dr Saul Alonso Monsalve (ETH Zurich)

3/21/23, 9:20 AM

17. Neutrino interaction classification and transfer learning

Dr Leigh Whitehead (University of Cambridge)

3/21/23, 9:40 AM

19. Event filtering and mitigation of simulation biases

Dr Marta Babicz (University of Zurich)

3/21/23, 10:00 AM

20. Event reweighting and generative models in neutrino experiments

Dr Cristovao Vilela (CERN)

3/21/23, 10:50 AM

18. Multi-task data reconstruction chain for imaging detectors in neutrino experiments

Prof. Kazuhiro Terao (SLAC)

3/21/23, 11:10 AM

22. Large Scale Structure Cosmology with Artificial Intelligence

Dr Tomasz Kacprzak (ETH Zurich)

3/21/23, 11:30 AM

23. Cosmological constraints from combined probes of large scale structure with deep learning

Arne Thomsen (ETH Zurich)

3/21/23, 11:50 AM

44. Background rejection in Cherenkov Telescopes

Prof. Adrian Biland (ETH Zurich)

3/21/23, 1:20 PM

25. New generative AI models

Luca Biggio (ETH Zurich)

3/21/23, 1:40 PM

26. Geometric Learning/ Physics-informed AI for cosmology

Dr Tilman Troester (ETH Zurich)

3/21/23, 2:00 PM

24. PointNets for galaxy redshift surveys

Sotirios Anagnostidis (ETH Zurich)

3/21/23, 2:20 PM

27. Introduction on LHC experiments workflow with emphasis on challenges

Prof. Annapaola de Cosa (ETH Zurich)

3/21/23, 3:10 PM

30. Object identification and reconstruction

Dr Alessandro Calandri (ETH Zurich)

3/21/23, 3:30 PM

28. Ultrafast ML inference for triggering

Dr Thea Aarrestad (ETH Zurich)

3/21/23, 3:50 PM

29. Machine learning for data quality monitoring

Roberto Seidita

3/21/23, 4:10 PM

34. Probabilistic models in ML for HEP

Davide Valsecchi (ETH Zurich)

3/21/23, 4:30 PM

31. Data-MC matching

Massimiliano Galli

3/22/23, 9:00 AM

32. Analysis techniques

Florian Eble

3/22/23, 9:20 AM

35. Quantum machine learning

Vasilis Belis (ETH Zurich)

3/22/23, 10:00 AM

37. Machine learning applications

Dr Mauro Verzetti (Google)

3/22/23, 10:50 AM

36. Robotics, event-based imaging

Prof. Davide Scaramuzza (ETH Zurich)

3/22/23, 11:30 AM

40. Knowledge distillation

Patrick Odagiu (ETH Zurich)

3/22/23, 12:00 PM

33. Anomaly detection

Roberto Seidita (ETH Zurich)

39. Encoding/decoding

Doruk Efe Gökmen

38. Normalizing flows

Javad Komijani