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Simulation-Based Inference Blueprint

from Thursday, February 26, 2026 (10:00 AM) to Friday, February 27, 2026 (5:00 PM)
CERN (13/2-005)

        : Sessions
    /     : Talks
        : Breaks
Feb 26, 2026
Feb 27, 2026
AM
10:00 AM Welcome and Introduction - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US)) Nick Smith (Fermi National Accelerator Lab. (US))  
10:20 AM Simulation-Based Inference — An Introduction - Gilles Louppe  
10:50 AM Discussion  
11:10 AM
Simulation-Based Inference at the LHC (until 12:00 PM)
11:10 AM Simulation-Based Inference in ATLAS - Tae Hyoun Park (Max Planck Society (DE))  
11:25 AM Simulation-Based Inference in CMS - Sergio Sanchez Cruz (Universidad de Oviedo (ES))  
11:40 AM Discussion  
10:00 AM
Toolkits for Simulation-Based Inference (until 12:00 PM)
10:00 AM Toolkit for Simulation-Based Inference (IRIS-HEP) - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))  
10:30 AM Q&A  
10:40 AM NEEDLE: Workflow Orchestration for Large-Scale NSBI Deployment - Kylian Schmidt (KIT - Karlsruhe Institute of Technology (DE)) Levi Evans (Deutsches Elektronen-Synchrotron (DE))  
11:05 AM Q&A  
11:15 AM SBI Toolkit Modification and robust Uncertainty Quantification - Jingjing Pan (KIT - Karlsruhe Institute of Technology (DE))  
11:35 AM Broader Discussion  
PM
12:00 PM --- Lunch break ---
1:30 PM
Statistical Modeling (Systematic Uncertainties) (until 3:00 PM)
1:30 PM HistFactory Introduction - Alexander Held (University of Wisconsin Madison (US))  
1:50 PM HistFactory v2: Systematics Modeling with Gaussian Processes - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))  
2:10 PM Unbinned measurements with machine-learned systematic uncertainties - Ricardo Barrué (Marietta Blau Institute for Particle Physics)  
2:30 PM Discussion  
3:00 PM --- Coffee break ---
3:30 PM
Neural Networks For Likelihood (Ratio) Estimation (until 4:30 PM)
3:30 PM Direct Likelihood Learning and Uncertainty Profiling with Normalizing Flows - Davide Valsecchi (ETH Zurich (CH))  
3:50 PM Neural (Quasi-)Probabilistic Likelihood Ratio Estimation - Stephen Jiggins (Deutsches Elektronen-Synchrotron (DE)) Matthew Drnevich (New York University (US))  
4:10 PM Discussion  
12:00 PM --- Lunch break ---
1:30 PM
SBI with semi-parameterized Density Ratios (until 3:00 PM)
1:30 PM Building summaries with event2vec - Nick Smith (Fermi National Accelerator Lab. (US)) Prasanth Shyamsundar (Fermi National Accelerator Laboratory)  
1:50 PM Parametrized Optimal Observable Approach to NSBI - Matthew Kenneth Maroun (University of Massachusetts (US))  
2:10 PM Tooling issues for binned nSBI analyses with pyhf and how to overcome them - Malin Elisabeth Horstmann (Technische Universitat Munchen (DE))  
2:30 PM Discussion  
3:00 PM --- Coffee break ---
3:30 PM Scaling Neural Simulation-Based Inference at High Performance Computing for LHC analysis - Walter Hopkins (Argonne National Laboratory (US)) Xiangyang Ju (Lawrence Berkeley National Lab. (US))  
4:00 PM SBI for Effective Field Theories - Nick Smith (Fermi National Accelerator Lab. (US))  
4:30 PM Closeout - Nick Smith (Fermi National Accelerator Lab. (US)) Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))