Conferences

  1. Differential optimisation for task- and constraint-aware design of particle detectors, G. Strong et al. (14 authors), Conference on Neural Information Processing Systems (NeurIPS): Machine Learning and the Physical Sciences - New Orleans/Online, USA
  2. TomOpt: Differentiable Optimisation of Muon-Tomography Detectors, G. Strong et al. (12 authors), XVth Conference for Quark Confinement and the Hadron Spectrum - Stavanger/Online, Norway, 04/08/22
  3. TomOpt: Differentiable Optimisation of Muon-Tomography Detectors, G. Strong et al. (12 authors), International Conference on High Energy Physics 2022 - Bologna/Online, Italy, 09/07/22
  4. Muon energy regression hackathon challenge, T. Dorigo, L. Layer, G. Strong, Quarks to Cosmos with AI - Online/Carnegie Mellon University, USA, 12/07/21-16/07/21.
    • Jointly involved in: organisation & planning, baseline code, scoring, introductory & technical seminars
  5. Improvements to ML for Searches at the LHC, G. Strong, International Conference on High Energy Physics 2020 - Online, 28/07/20.
  6. CMS HL-LHC Projection for Non-Resonant Di-Higgs Production in the bb𝝉𝝉 Decay Channel, M. Bengala, M. Gallinaro, R Santo, G. Strong (speaker), & L. Cadamuro, Posters@LHCC - CERN, Switzerland, 27/02/19.
  7. Recent developments in deep-learning applied to open HEP data, G. Strong, XIIIth Conference for Quark Confinement and the Hadron Spectrum - Maynooth University, Ireland, 02/08/18.
  8. Recent developments in deep-learning applied to open HEP data, G. Strong, Advanced Statistics for Physics Discovery (poster session) - University of Padova, Italy, 25/09/18.

Seminars & tutorials

  1. TomOpt: Differential Muon Tomography Optimisation, G. Strong (speaker), T. Dorigo, SciComp Seminar Series TU Kaiserslautern - Online, 02/12/21
  2. Graph neural networks in HEP, R. Pedro (speaker) & G. Strong (speaker), LIP competency centre for Simulation and Big Data meeting (10.5281/zenodo.5090549) - Online, 12/07/21.
  3. TomOpt: Differential Muon Tomography Optimisation, G. Strong & T. Dorigo, MODE meeting - Online, 07/06/21.
  4. Inferno As A Drop-in* Loss Function, G. Strong, gradHEP Campfire #2 - Online, 12/02/21.
  5. Deep Learning Methods Applied to Higgs Physics at The LHC, G. Strong, PhD Defense Instituto Superior Técnico Universidade de Lisboa - Online, 22/12/20.
  6. Improvements to ML for Searches at the LHC, G. Strong, Geneva Data Mining and Machine Learning group - Online, 20/05/20.
  7. PyTorch Tutorial, G. Strong, 6ªs Jornadas de Engenharia Física - IST, Portugal, 04/03/20.
  8. Machine learning in HEP, G. Strong, 40º PubhD de Lisboa: Especial “Infinitamente Pequeno” - Má Língua, Portugal, 04/12/20.
  9. A Dive Into Deep Reinforcement Learning, G. Strong (summarising: OpenAI - Spinning Up in Deep RL), LIP Seminar Series - LIP, Portugal, 03/10/19.
  10. Understanding Neural Networks, G. Strong, LIP Summer Tutorials - LIP-Lisbon, Portugal, 17/08/19.
  11. Keras Tutorial, G. Strong, LIP Data Science in (Astro)Particle Physics and Cosmology - University of Minho, Portugal, 26/03/19-27/03/19.
  12. Hyper-Parameter Optimisation Part I, G. Strong (summarising: L. Smith arXiv:1803.09820), 7th AMVA4NewPhysics Workshop - LIP-Lisbon, Portugal, 31/10/18.
  13. Understanding Neural Networks, G. Strong, LIP Summer Tutorials - LIP, Portugal, 11/07/18.
  14. Hyper-Parameter Optimisation Part I, G. Strong (summarising: L. Smith arXiv:1803.09820), LIP competency centre for Simulation and Big Data meeting - Online, 06/07/18.
  15. Keras Tutorial, G. Strong, LIP Data Science in (Astro)Particle Physics and Cosmology - LIP-Lisbon, Portugal, 13/03/18.
  16. Keras Tutorial, G. Strong, LIP competency centre for Simulation and Big Data meeting - Online, 14/07/17.
  17. Understanding Neural Networks, G. Strong, LIP Seminar Series - LIP, Portugal, 15/03/17.

Workshops & meetings

  1. From ML to Differentiable Programming, G. Strong, aMUSE 2023 General Meeting - Invited speaker, Rome/Online, Italy, 06/06/23
  2. Second MODE Workshop on Differentiable Programming OAC conference centre, Greece (12-16/09/22):
  3. Differential programming for detector optimisation, G. Strong on behalf of MODE Collaboration, Analysis Ecosystems Workshop II - Paris/Online, France, 23/05/22
  4. Two-level graphs for muon-tomography inference, G. Strong, 5th IML Workshop - CERN/Online, 13/05/22
  5. TomOpt: PyTorch-based Differential Muon Tomography Optimisation, G. Strong (speaker), T. Dorigo, 24th European Automatic Differentiation Workshop - Online, 03/11/21
  6. TomOpt: PyTorch-based Differential Muon Tomography Optimisation, G. Strong (speaker), T. Dorigo, First MODE Workshop on Differentiable Programming - Université Catholique de Louvain/Online, Belgium, 06/09/21
  7. An Introduction to LUMIN: A deep learning and data science ecosystem for high-energy physics, G. Strong, CMS Town Hall 2021 (10.5281/zenodo.5089905) - Online, 29/07/21.
  8. An Introduction to LUMIN: A deep learning and data science ecosystem for high-energy physics, G. Strong, PyHEP 2021 (10.5281/zenodo.5089905) - Online, 09/07/21.
  9. Calorimetric Measurement of Multi-TeV Muons via Deep Regression, J Kieseler, G. Strong (speaker), F. Chiandotto, T. Dorigo, & L. Layer, ML4Jets - Heidelberg/Online, Germany, 07/07/21.
  10. PyTorch INFERNO, G. Strong, PyHEP 2021 (10.5281/zenodo.5075081) - Online, 06/07/21.
  11. Improvements To Lumin & Inferno In PyTorch, G. Strong, IML Meeting - Online, 16/03/21
  12. LUMIN, G. Strong, INFN-ML Meeting - Online, 27/07/20.
  13. LUMIN, G. Strong, CMS ML Kick-Off Workshop - Online, 02/07/20.
  14. Neural Networks On A Budget, G. Strong, LIP & IDPASC Students’ Workshop - Online, 25/06/20.
  15. Machine Learning In High Energy Physics, G. Strong, VBScan Workshop - LIP-Lisbon, Portugal, 05/12/19.
  16. Deep Learning In Higgs Physics, G. Strong, 8th AMVA4NP Workshop - DESY, Germany, 06/07/19.
  17. Deep Learning In Higgs Physics, G. Strong, LIP & IDPASC Students’ Workshop - University of Minho, Portugal, 01/07/19.
  18. Attempted Reproduction of the Super-TML Method, G. Strong, 3rd CMS ML Workshop - CERN, Switzerland, 19/06/19.
  19. Coopetition, G. Strong, AMVA4NewPhysics Seminar Series - Online, 29/04/19.
  20. LUMIN, G. Strong, 3rd IML Workshop - CERN, Switzerland, 17/04/19.
  21. Hunting Supersymmetry & Higgs with the CMS detector, D. Bastos, P. Bargasa (speaker), N. Leonardo, L. Sintra, & G. Strong, ENEF2019 Inside Views - LIP-Lisbon, Portugal, 27/02/19.
  22. hh→bb𝜏𝜏 at the HL-LHC YR Studies, M. Bengala, M. Gallinaro, R Santo, and G. Strong (speaker), CMS hh→bb𝜏𝜏 Workshop - LLR-Paris, France, 21/02/19.
  23. Recent developments in deep-learning applied to open HEP data, G. Strong, IML Meeting - CERN, Switzerland, 30/11/18.
  24. Progress Report, G. Strong, 7th AMVA4NewPhysics Workshop - LIP-Lisbon, Portugal, 01/11/18.
  25. Recent developments in deep-learning applied to open HEP data, G. Strong, 3rd ATLAS ML Workshop (public session invited speaker) - CERN, Switzerland, 17/10/18.
  26. DNN classifiers in di-Higgs searches, G. Strong, 6th AMVA4NewPhysics Workshop - National and Kapodistrian University of Athens, Greece, 21/06/18.
  27. DNNs in hh classification, G. Strong, 3rd CMS hh Workshop - LLR-Paris, France, 05/04/18.
  28. Applications of Machine Learning to Particle Physics, G. Strong, 3rd LIP Mini-school of particle physics - Oeiras, Portugal, 07/02/18.
  29. DNNs in regression and classification, G. Strong, CMS hh→bb𝜏𝜏 Workshop - INFN-Pisa, Italy, 16/01/18.
  30. DNN for Tau Isolation, G. Strong on behalf of CMS Tau POG, CMS ML Forum Meeting - CERN, Switzerland, 22/11/17.
  31. Regression & classification of di-Higgs events, G. Strong, AMVA4NewPhysics Mid-term review - CP3, Belgium, 30/08/17.
  32. 2017 Alignment of CT-PPS, G. Strong (speaker) & J. Kaspar, CT-PPS Physics Meeting - 30/08/17.
  33. Feature optimisation through regression, G. Strong, 4th AMVA4NewPhysics Workshop - Oviedo University, Spain, 18/05/17.
  34. Machine Learning in Higgs Physics, G. Strong, LIP PhD-Students’ Workshop - Coimbra University, Portugal, 25/03/17.
  35. Machine Learning in Higgs Physics, G. Strong, Lisbon mini-school on Particle and Astro-particle Physics - Sesimbra, Portugal, 08/02/17.
  36. Regression Studies in di-Higgs Events, G. Strong, 3rd AMVA4NewPhysics Workshop - University of Oxford, UK, 20/12/16.