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Simulation-Based Inference Blueprint

from Thursday, 26 February 2026 (10:00) to Friday, 27 February 2026 (17:00)
CERN (13/2-005)

        : Sessions
    /     : Talks
        : Breaks
26 Feb 2026
27 Feb 2026
AM
10:00 Welcome and Introduction - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US)) Nick Smith (Fermi National Accelerator Lab. (US))  
10:20 Simulation-Based Inference — An Introduction - Gilles Louppe  
10:50 Discussion  
11:10
Simulation-Based Inference at the LHC (until 12:00)
11:10 Simulation-Based Inference in ATLAS - Tae Hyoun Park (Max Planck Society (DE))  
11:25 Simulation-Based Inference in CMS - Sergio Sanchez Cruz (Universidad de Oviedo (ES))  
11:40 Discussion  
10:00
Toolkits for Simulation-Based Inference (until 12:00)
10:00 Toolkit for Simulation-Based Inference (IRIS-HEP) - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))  
10:30 Q&A  
10:40 NEEDLE: Workflow Orchestration for Large-Scale NSBI Deployment - Kylian Schmidt (KIT - Karlsruhe Institute of Technology (DE)) Levi Evans (Deutsches Elektronen-Synchrotron (DE))  
11:05 Q&A  
11:15 SBI Toolkit Modification and robust Uncertainty Quantification - Jingjing Pan (KIT - Karlsruhe Institute of Technology (DE))  
11:35 Broader Discussion  
PM
12:00 --- Lunch break ---
13:30
Statistical Modeling (Systematic Uncertainties) (until 15:00)
13:30 HistFactory Introduction - Alexander Held (University of Wisconsin Madison (US))  
13:50 HistFactory v2: Systematics Modeling with Gaussian Processes - Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))  
14:10 Unbinned measurements with machine-learned systematic uncertainties - Ricardo Barrué (Marietta Blau Institute for Particle Physics)  
14:30 Discussion  
15:00 --- Coffee break ---
15:30
Neural Networks For Likelihood (Ratio) Estimation (until 16:30)
15:30 Direct Likelihood Learning and Uncertainty Profiling with Normalizing Flows - Davide Valsecchi (ETH Zurich (CH))  
15:50 Neural (Quasi-)Probabilistic Likelihood Ratio Estimation - Stephen Jiggins (Deutsches Elektronen-Synchrotron (DE)) Matthew Drnevich (New York University (US))  
16:10 Discussion  
12:00 --- Lunch break ---
13:30
SBI with semi-parameterized Density Ratios (until 15:00)
13:30 Building summaries with event2vec - Nick Smith (Fermi National Accelerator Lab. (US)) Prasanth Shyamsundar (Fermi National Accelerator Laboratory)  
13:50 Parametrized Optimal Observable Approach to NSBI - Matthew Kenneth Maroun (University of Massachusetts (US))  
14:10 Tooling issues for binned nSBI analyses with pyhf and how to overcome them - Malin Elisabeth Horstmann (Technische Universitat Munchen (DE))  
14:30 Discussion  
15:00 --- Coffee break ---
15:30 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))  
16:00 SBI for Effective Field Theories - Nick Smith (Fermi National Accelerator Lab. (US))  
16:30 Closeout - Nick Smith (Fermi National Accelerator Lab. (US)) Jay Ajitbhai Sandesara (University of Wisconsin Madison (US))