AI at CERN and SKA

from Monday, 17 September 2018 (10:00) to Tuesday, 18 September 2018 (22:50)
Alan Turing Institute, London

        : Sessions
    /     : Talks
        : Breaks
17 Sep 2018
18 Sep 2018
AM
10:00
Day 1 (until 13:00) ()
10:00 opening words - Dr Braam Peter   ()
10:05 Partnering with industry for machine learning at HL-LHC - Dr Maria Girone (CTO CERN OpenLab)   ()
10:35 Emerging Use of DNNs - Mr Stephen Pawlowski (VP of Advanced Computing Solutions, Micron)   ()
11:05 Learning Deep Generative Models of Graphs - Dr Yujia Li (DeepMind)   ()
11:35 --- Coffee Break ---
11:50 Infrastructure for ML panel   ()
10:00
Day 2 (until 13:00) ()
10:00 ML and AI challenges in current and future optical and near infra imaging datasets - Prof. Richard McMahon   ()
10:30 Optical transient surveys of today and tomorrow : machine learning applications - Prof. Stephen Smartt   ()
10:50 Accelerating science by re-purposing machine learning software - Dr Bojan Nikolic   ()
11:10 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 How to train taggers on data - Dr Jennifer Thompson   ()
11:45 Coffee Break   ()
12:00 Panel: ML Specific to Astro Physics   ()
PM
13:00 --- lunch ---
14:00
Day 1 (until 18:00) ()
14:00 Deep Learning for Science: Opening the Pandora Box - Dr Shirley Ho   ()
14:30 Two computing challenges for particle physics : the tracking challenge and event simulation with Generative Adversarial Networks - Dr David Rousseau   ()
15:00 --- Coffee Break ---
15:15 Too much of a good thing : how to drink new physics from a 40 Tb/s firehose - Dr Vladimir "Vava" Gligorov   ()
15:45 Deep Learning for the future of the Large Hadron Collider - Dr Maurizio Pierini   ()
16:15 --- Coffee Break ---
16:45 Panel: ML Specific to HEP   ()
18:00 --- Reception at The Alan Turing Institute ---
19:30 --- Speaker and Organizer Dinner ---
13:00 --- lunch ---
14:00
Day 2 (until 18:00) ()
14:00 Removing Clutter - Killing Dimension - Prof. Terry Lyons FLSW FRSE FRS   ()
14:30 Direct optimisation of the discovery significance when training neural networks to search for new physics in particle colliders - Dr Adam Elwood   ()
14:45 Radio Galaxy Classification with Deep Learning - Ms Vesna Lukic (PhD candidate University of Hamburg)   ()
15:00 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 )   ()
15:15 --- Coffee Break ---
15:30 Networked data-science for research, academic communities and beyond - Dr Andrey Ustyuzhanin   ()
16:00 Building Search Pipelines and Labelled Datasets for Transient Discovery - Dr Griffin Foster (University of Oxford, University of California at Berkeley)   ()
16:15 Time-domain Machine Learning - Opportunities and Challenges for the SKA - Dr Robert Lyon   ()
16:45 --- Coffee Break ---
17:00 Panel: Areas for Possible Collaboration   ()