AI at CERN and SKA

from Monday, September 17, 2018 (10:00 AM) to Tuesday, September 18, 2018 (10:50 PM)
Alan Turing Institute, London

        : Sessions
    /     : Talks
        : Breaks
Sep 17, 2018
Sep 18, 2018
AM
10:00 AM
Day 1 (until 1:00 PM) ()
10:00 AM opening words - Dr Braam Peter   ()
10:05 AM Partnering with industry for machine learning at HL-LHC - Dr Maria Girone (CTO CERN OpenLab)   ()
10:35 AM Emerging Use of DNNs - Mr Stephen Pawlowski (VP of Advanced Computing Solutions, Micron)   ()
11:05 AM Learning Deep Generative Models of Graphs - Dr Yujia Li (DeepMind)   ()
11:35 AM --- Coffee Break ---
11:50 AM Infrastructure for ML panel   ()
10:00 AM
Day 2 (until 1:00 PM) ()
10:00 AM ML and AI challenges in current and future optical and near infra imaging datasets - Prof. Richard McMahon   ()
10:30 AM Optical transient surveys of today and tomorrow : machine learning applications - Prof. Stephen Smartt   ()
10:50 AM Accelerating science by re-purposing machine learning software - Dr Bojan Nikolic   ()
11:10 AM AstroStatistics and AstroInformatics in the content of the SKA and LSST - Prof. Jason McEwen (Astrophysics & Cosmology at Mullard Space Science Laboratory, University College London)   ()
11:30 AM How to train taggers on data - Dr Jennifer Thompson   ()
11:45 AM Coffee Break   ()
12:00 PM Panel: ML Specific to Astro Physics   ()
PM
1:00 PM --- lunch ---
2:00 PM
Day 1 (until 6:00 PM) ()
2:00 PM Deep Learning for Science: Opening the Pandora Box - Dr Shirley Ho   ()
2:30 PM Two computing challenges for particle physics : the tracking challenge and event simulation with Generative Adversarial Networks - Dr David Rousseau   ()
3:00 PM --- Coffee Break ---
3:15 PM Too much of a good thing : how to drink new physics from a 40 Tb/s firehose - Dr Vladimir "Vava" Gligorov   ()
3:45 PM Deep Learning for the future of the Large Hadron Collider - Dr Maurizio Pierini   ()
4:15 PM --- Coffee Break ---
4:45 PM Panel: ML Specific to HEP   ()
6:00 PM --- Reception at The Alan Turing Institute ---
7:30 PM --- Speaker and Organizer Dinner ---
1:00 PM --- lunch ---
2:00 PM
Day 2 (until 6:00 PM) ()
2:00 PM Removing Clutter - Killing Dimension - Prof. Terry Lyons FLSW FRSE FRS   ()
2:30 PM Direct optimisation of the discovery significance when training neural networks to search for new physics in particle colliders - Dr Adam Elwood   ()
2:45 PM Radio Galaxy Classification with Deep Learning - Ms Vesna Lukic (PhD candidate University of Hamburg)   ()
3:00 PM Learning the solution to SDEs using rough paths theory and machine learning - Dr Hao Ni (Senior Lecturer in Financial Mathematics at UCL and the Turing Fellow at The Alan Turing Institute )   ()
3:15 PM --- Coffee Break ---
3:30 PM Networked data-science for research, academic communities and beyond - Dr Andrey Ustyuzhanin   ()
4:00 PM Building Search Pipelines and Labelled Datasets for Transient Discovery - Dr Griffin Foster (University of Oxford, University of California at Berkeley)   ()
4:15 PM Time-domain Machine Learning - Opportunities and Challenges for the SKA - Dr Robert Lyon   ()
4:45 PM --- Coffee Break ---
5:00 PM Panel: Areas for Possible Collaboration   ()