Differences

This shows you the differences between two versions of the page.

--- 2023:groups:bsmtools:mlreinterpretation [2023/06/26 15:36]
sezen.sekmen
+++ 2023:groups:bsmtools:mlreinterpretation [2023/06/28 14:47] (current)
sezen.sekmen
@@ Line 1: / Line 1: @@
 ====== ML reinterpretation ======
+==== 26 June ====
+{{:2023:groups:bsmtools:mlreint26jun.png?400|}}
+==== 27 June ====
+{{:2023:groups:bsmtools:mlreint27jun_1.jpg?400|}}
+{{:2023:groups:bsmtools:mlreint27jun_2.jpg?400|}}
+===== Full analysis recasting =====
+Standards for sharing models:
+  * [[https://github.com/lwtnn/lwtnn|LWTNN]]
+  * [[https://onnx.ai/|ONNX]]
+Analyses that have provided ML models:
+  * [[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2019-04/|ATLAS-SUSY-2019-04]]
+  * [[https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/SUSY-2018-30/|ATLAS-SUSY-2018-30]]
+  * ?
 Discussion during the Dec '22 reinterpretation workshop: [[https://indico.cern.ch/event/1197680/timetable/?view=standard#b-485872-experience-and-feedba|link]].
+[[https://www.overleaf.com/8811915719zfjtnygcdgpv|Overleaf document for writeup]]
+===== Surrogate models for object tagging =====
+Propose to build a surrogate model using the JetClass dataset [1], trying to approximate the output of a state-of-the-art attention based tagger (ParT, [1]) -- which uses low-level inputs including vertex information -- with a network only using high-level kinematics / n-subjettiness.
+Hamburg is preparing a simplified dataset (dropping low level features, adding ParT output, restricting to hadronic top vs light quark/gluon;  reducing examples/class to  2M train / class; 500k test/class; 1M  val/class)
+Based on this we can test different surrogate models, Bayesian NN, explicit sampling.
+[1] Paper that introduced jetClass data: [[https://arxiv.org/abs/2202.03772 | arXiv:2202.03772]]

Les Houches

User Tools

Site Tools

Differences

Page Tools