30 April 2024 to 3 May 2024
Amsterdam, Hotel CASA
Europe/Amsterdam timezone

Session

4.1 Pattern recognition, Image analysis & Uncertainty quantification

1 May 2024, 16:00
Amsterdam, Hotel CASA

Amsterdam, Hotel CASA

Conveners

4.1 Pattern recognition, Image analysis & Uncertainty quantification

  • Julián García Pardiñas (CERN)

Presentation materials

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16:00
17:00
Conor O'Riordan
Sensitivity of strong lenses to substructure with machine learning
UvA 2-3-4, Hotel CASA
16:00 - 16:03
Ayodele Ore
Quark/gluon tagging in CMS Open Data with CWoLa and TopicFlow
UvA 2-3-4, Hotel CASA
16:03 - 16:06
Viola Cavallini
A fast convolutional neural network for online particle track recognition
UvA 2-3-4, Hotel CASA
16:06 - 16:09
Yutian Li
Improving Two-Neutron Detection Efficiency on the NEBULA Detector using XGBoost Algorithm
UvA 2-3-4, Hotel CASA
16:09 - 16:12
Ms Olivia Jullian Parra
Reinforcement learning for automatic data quality monitoring in HEP experiments
UvA 2-3-4, Hotel CASA
16:12 - 16:32
Lennart Roever
Reconstructing the Hubble function with physics-informed neural networks
UvA 2-3-4, Hotel CASA
16:32 - 16:52
Peter Levai
Application of science-informed AI in experimental particle physics and neuroscience
UvA 2-3-4, Hotel CASA
16:52 - 16:55
Marie Hein
Increasing the model agnosticity of weakly supervised anomaly detection
UvA 2-3-4, Hotel CASA
16:55 - 16:58
Martin Boerstad Eriksen
Galaxy redshift estimations with transfer and multi-task learning
UvA 2-3-4, Hotel CASA
16:58 - 17:01
Antonio Ferrer Sánchez
Gradient-Annihilated PINNs for Solving Riemann Problems: Application to Relativistic Hydrodynamics
UvA 2-3-4, Hotel CASA
17:01 - 17:04