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09:00
Introduction
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Valérie Gautard
(CEA-Irfu)
David Rousseau
(IJCLab, CNRS/IN2P3, Université Paris-Saclay)
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09:15
Towards a realistic track reconstruction algorithm based on graph neural networks for the HL-LHC
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Sylvain Caillou
(L2I Toulouse, CNRS/IN2P3)
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09:30
Mass and energy calibration of hadronic jets using DNN in ATLAS
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Pierre-Antoine Delsart
(LPSC)
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09:45
Reconstruction of di-tau mass using deep neural networks
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Lucas TORTEROTOT
({UNIV CLAUDE BERNARD}UMR5822)
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10:30
Mapping Machine-Learned Physics into a Human-Readable Space
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Taylor Faucett
(Université Clermont Auvergne)
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10:45
Reconstruction of generic decay trees using a Graph Neural Network
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Arthur Thaller
(IPHC)
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11:00
Fitting a spectrum using ML
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Samuel Calvet
(LPC)
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11:15
Auto-Encoder based algorithms for anomaly detection
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Louis Vaslin
(LPC Clermont)
Ioan Dinu
(INFIN-HH / LPC)
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12:00
Artificial Intelligences for measuring energy deposits in the ATLAS LAr calorimeter in real time
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Lauri Laatu
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12:15
RNNs on Intel FPGAs for real time signal processing in the ATLAS LAr calorimeter
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Etienne FORTIN
(Aix Marseille Univ, CNRS/IN2P3, CPPM, Marseille, France)
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12:30
Fink broker, enabling time-domain astronomy with ML
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Anais Moller
(CNRS / LPC Clermont)
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12:45
GPUs @CC : utilisation et évolution
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Bertrand Rigaud
(CC-IN2P3)
