BIRS talks Canada

Name: BIRS talks Canada
Start: 2026-06-08T09:00:00-06:00
End: 2026-06-12T11:30:00-06:00
Location: No location set

8 Jun 2026, 09:00 → 12 Jun 2026, 11:30 US/Mountain

Monday 8 June
- 1
  
  Introduction
  
  Speakers: Kyle Cormier (CERN), Lydia Brenner (Nikhef National institute for subatomic physics (NL)), Olaf Behnke (Deutsches Elektronen-Synchrotron (DE)), Philipp Windischhofer (University of Chicago (US))
  
  BIRS_Banff_2026_intro.pdf
- 2
  
  Tools and methods for interpretable high-dimensional analysis
  
  Speaker: Mathieu Markovitch (Centre National de la Recherche Scientifique (FR))
  
  Mathieu_BIRS.pdf
- 3
  
  Interpreting high-dimensional excesses and anomalies
  
  Speakers: Jannicke Pearkes (University of Colorado Boulder (US)), Dr Purvasha Chakravarti (University College London)
  
  Interpreting anomalies in HEP-2.pdf
- 4
  
  Data reduction
  
  Speakers: David van Dyk, Konstantin Leyde (Flatiron Institute / CCA)
  
  260608_banff.pdf
  
  van dyk.pdf
- 5
  
  Validation and goodness-of-fit in high dimensions
  
  Speakers: Cristina Alexe (Scuola Normale Superiore & INFN Pisa (IT)), Prof. Wolfgang Rolke (University of Puerto Rico - Mayaguez, Department of Mathematical Sciences)
  
  Alexe_BIRS_talk_v1.pdf
  
  Banff2026Talk.pdf
  
  Banff_Wolfgang.pdf
  
  Banff_Wolfgang.pdf
  
  Banff_Wolfgang.pptx
Tuesday 9 June
- 6
  
  modelling in small sub-regions
  
  Speakers: Mikael Kuusela (Carnegie Mellon University (US)), Oliver Rieger (Nikhef National institute for subatomic physics (NL))
  
  BIRS_ModellingInSmallSubRegions_Oliver.pdf
  
  Kuusela_BIRS_June_2026.pdf
- 7
  
  validating high-dimensional simulations
  
  Speakers: Chris Pollard (University of Warwick (GB)), Michelle Ntampaka
  
  260609_Ntampaka_Banff.pdf
  
  260609_Ntampaka_Banff.pptx
  
  BANFF20260609.pdf
- 8
  
  High-dimensional distributions and Machine Learning
  
  Speaker: Lukas Alexander Heinrich (Technische Universitat Munchen (DE))
  
  BANFF.pdf
- 9
  
  Modelling of relationships between variables in high-dimensional data
  
  Speakers: Leigh Preimesberger, Wouter Verkerke (Nikhef National institute for subatomic physics (NL))
  
  banff_ndmodeling_v3.pdf
  
  Leigh_Banff.key
- 10
  
  Unfolding of high-dimensional observables
  
  Speakers: Erik Bensen, Kyle Cormier (CERN)
  
  Bensen_BIRS26_unfolding.pdf
  
  kcormier_unfolding_BIRS2026.pdf
- 11
  Round-table discussion: biases and dependencies
  
  Speaker: André David (CERN)
  20260609 PHYSTAT multidim.pdf
  
  Banff sundry
  
  Banff weather
  
  CA space weather
  
  NOAA space weather
Wednesday 10 June
- 12
  
  Scalable inference
  
  Speaker: Aliya Nigamova (Paul Scherrer Institute (CH))
  
  scalable_inference_banff2026.pdf
- 13
  
  Methods for reducing computational complexity
  
  Speakers: Alessandra Rosalba Brazzale, Jonathon Mark Langford (Imperial College (GB))
  
  Banff2026_Brazzale_handout.pdf
  
  Banff2026_Brazzale_talk.pdf
  
  banff_2026_final.pdf
- 14
  
  Information transfer from machine learning to scientists
  
  Speakers: Martina Fusi (University of Southampton), Simon Mak
  
  Banff_Fusi.pdf
  
  Banff_Fusi.pptx
  
  birs_2026.pptx
- 15
  
  interpretation and diagnostics using machine learning
  
  Speakers: James Carzon (Carnegie Mellon University), Jay Ajitbhai Sandesara (University of Wisconsin (US))
  
  carzon_phystat_2026.pdf
  
  validation_high_dimensions_BIRS.pdf
- 16
  
  Complexity scaling of machine learning methods
  
  Speakers: Maarten Van Veghel (Nikhef National institute for subatomic physics (NL)), Tom Junk (Fermi National Accelerator Lab. (US))
  
  birs_2026_complexity_scaling_mvanveghel.pdf
  
  trj_neutrino_scaling.pdf
- 17
  
  Round-table discussion: future of machine learning
  
  Speakers: Jack Harrison (Institut de Física d’Altes Energies (IFAE)), Dr Peter Risse (Southern Methodist University), Peter Risse (Southern Methodist University), Peter Risse
  
  Future of Machine Learning.pdf
Thursday 11 June
- 18
  
  Leveraging machine learning and its limits
  
  Speakers: Anthony Ozerov, Claire David (AIMS South Africa)
  
  david_ozerov_birs2026_leverage_ml_limits.pdf
- 19
  
  Uncertainties and Machine Learing
  
  Speaker: Davide Valsecchi (ETH Zurich (CH))
  
  26-06-10 - BIRS - Uncertainties in ML.pdf
Friday 12 June
- 20
  
  Highlight talk from a physicist
  
  Speaker: Philipp Windischhofer (University of Chicago (US))
  
  highlights-physics.pdf
- 21
  
  Highlight talk from a statistician
  
  Speakers: Alessandra Rosalba Brazzale, David van Dyk
  
  Banff2026_Highlight-talk_STATS_Brazzale_handout.pdf
  
  Banff2026_Highlight-talk_STATS_Brazzale.pdf
- 22
  
  Closing
  
  Speakers: Kyle Cormier (CERN), Lydia Brenner (Nikhef National institute for subatomic physics (NL)), Olaf Behnke (Deutsches Elektronen-Synchrotron (DE)), Philipp Windischhofer (University of Chicago (US))
  
  BIRS_Banff_2026_thankyou.pdf