|
12:00
|
--- Lunch ---
|
|
13:00
|
Public
(until 19:00)
(500/1-001 - Main Auditorium)
|
|
13:00
|
Introduction
-
Dan Guest
(University of California Irvine (US))
Amir Farbin
(University of Texas at Arlington (US))
(500/1-001 - Main Auditorium)
|
|
13:27
|
Dark Machines
-
Bob Stienen
(500/1-001 - Main Auditorium)
|
|
13:45
|
A deep neural network for simultaneous estimation of b quark energy and resolution for the CMS experiment
-
Nadezda Chernyavskaya
(Eidgenoessische Tech. Hochschule Zuerich (CH))
()
|
|
14:10
|
DNNLikelihood
-
Riccardo Torre
(CERN)
()
|
|
14:40
|
--- Break ---
|
|
15:05
|
A deep neural network-based tagger to search for new long-lived particle states decaying to jets
-
Vilius Cepaitis
(Imperial College (GB))
(500/1-001 - Main Auditorium)
|
|
15:35
|
Fast Machine Learning Inference on FPGAs for Trigger and DAQ with hls4ml
-
Sioni Paris Summers
(CERN)
(500/1-001 - Main Auditorium)
|
|
16:10
|
--- Break ---
|
|
|
13:00
|
--- Lunch ---
|
|
19:30
|
Dinner at La Potiniere
()
|
|
|
|
12:00
|
--- Lunch ---
|
|
14:00
|
Public
(until 18:00)
(6/2-024 - BE Auditorium Meyrin)
|
|
14:00
|
ML Inference in CMSSW
-
Huilin Qu
(Univ. of California Santa Barbara (US))
()
|
|
14:35
|
Distributed training and optimization
- Dr
Jean-Roch Vlimant
(California Institute of Technology (US))
(6/2-024 - BE Auditorium Meyrin)
|
|
15:05
|
--- Break ---
|
|
15:35
|
Adversarial training for ttH(bb) classification
-
Paul Glaysher
(DESY)
(6/2-024 - BE Auditorium Meyrin)
|
|
16:05
|
Machine Learning for BSM
-
Andrea Wulzer
(CERN and EPFL)
(6/2-024 - BE Auditorium Meyrin)
|
|
16:40
|
GPUs in Reconstruction
- Dr
Charles Leggett
(Lawrence Berkeley National Lab (US))
(6/2-024 - BE Auditorium Meyrin)
|
|
