Imperial HEP Machine Learning

Seminars, Spring Term 2021

Date Room Speaker Title (click for abstract) [Slides]
Fri 22 Jan 15:00 Remote (Zoom) Aleksandra Ciprijanovic (Fermilab) Domain adaptation for cross-domain studies in astronomy [Slides] [Video]
Fri 19 Mar 13:00 Remote (Zoom) Sofia Vallecorsa (CERN) Quantum Machine Learning in High Energy Physics
Past Seminars
Date Room Speaker Title (click for abstract) [Slides]
Wed 5 Feb (2020) 12:30 BLKT 539 Victor Kitov (MSU) Neural style transfer - introduction and applications [Slides] [Video]
Wed 5 Feb (2020) 13:30 BLKT 539 Artem Maevskiy (HSE) Generative Adversarial Networks and their application for fast simulation in HEP [Slides] [Video, truncated]
Fri 15th May (2020) 13:00 Remote (Zoom) Michael Bronstein (Imperial) Geometric deep learning: from fake news to neutrino detection [Slides] [Video]
Fri 22nd May (2020) 13:00 Remote (Zoom) Jan Kieseler (CERN) Application and development of advanced deep neural networks for high-granularity calorimeters [Slides] [Video]
Fri 5th June (2020) 13:00 Remote (Zoom) Leigh Whitehead (Cambridge) Model-Assisted Generative Adversarial Networks [Slides] [Video]
Fri 30 Oct (2020) 16:00 Remote (Zoom) Nick Prouse (TRIUMF) Water Cherenkov event reconstruction using ML [Video]
Fri 13 Nov (2020) 13:00 Remote (Zoom) Marta Betcke (UCL) Nonlinear inversion for inverse problems in PAT and X-ray CT [Video]
Fri 27 Nov (2020) 13:00 Remote (Zoom) Sergey Shirobokov (Imperial) Black-box optimisation with Local Generative Surrogates (and its application to HEP case)[Slides][Video]

Tea and biscuits are served 15 minutes before the seminar time when the room booking allows and all are welcome to attend. Enjoy! Anyone wishing to suggest a seminar speaker or topic should contact Rob Bainbridge or Abbey Waldron. Please also contact us if you wish to subscribe to the hep-ml mailing list.