ERD

Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC

Project: mPP

Updated at: 27-04-2024

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Quantum anomaly detection in the latent space of proton collision events at the LHC

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detector...

Project: mPP

Updated at: 27-04-2024

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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Project: mPP

Updated at: 27-04-2024

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Jet Single Shot Detection

Project: mPP

Updated at: 27-04-2024

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Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders

Project: mPP

Updated at: 27-04-2024

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LHC physics dataset for unsupervised New Physics detection at 40 MHz

Project: mPP

Updated at: 27-04-2024

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The DNNLikelihood: enhancing likelihood distribution with Deep Learning

Project: mPP

Updated at: 27-04-2024

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Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'e...

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

Project: mPP

Updated at: 27-04-2024

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Data Management Plan

Project: mPP

Updated at: 27-04-2024

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End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Project: mPP

Updated at: 27-04-2024

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Interaction networks for the identification of boosted H → b b ¯ decays

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Adversarially Learned Anomaly Detection on CMS open data: re-discovering the top quark

Project: mPP

Updated at: 27-04-2024

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Fast convolutional neural networks on FPGAs with hls4ml

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders

Project: mPP

Updated at: 27-04-2024

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hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Periodic Reporting for period 3 - mPP (machine learning for Particle Physics)

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Graph Neural Networks for Particle Tracking and Reconstruction

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Fast inference of deep neural networks in FPGAs for particle physics

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Variational autoencoders for new physics mining at the Large Hadron Collider

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Pileup mitigation at the Large Hadron Collider with graph neural networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

LHC analysis-specific datasets with Generative Adversarial Networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadro...

Project: mPP

Updated at: 27-04-2024

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Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring

Project: mPP

Updated at: 27-04-2024

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Resources

Selected filters:

Sparse Data Generation for Particle-Based Simulation of Hadronic Jets in the LHC

Quantum anomaly detection in the latent space of proton collision events at the LHC

Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detector...

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Jet Single Shot Detection

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders

LHC physics dataset for unsupervised New Physics detection at 40 MHz

The DNNLikelihood: enhancing likelihood distribution with Deep Learning

Apprentissage pour la détection d'anomalies, avec application au contrôle de qualité d'acquisition de données de l'e...

Graph Generative Adversarial Networks for Sparse Data Generation in High Energy Physics

Data Management Plan

End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Interaction networks for the identification of boosted H → b b ¯ decays

Adversarially Learned Anomaly Detection on CMS open data: re-discovering the top quark

Fast convolutional neural networks on FPGAs with hls4ml

Source-Agnostic Gravitational-Wave Detection with Recurrent Autoencoders

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Periodic Reporting for period 3 - mPP (machine learning for Particle Physics)

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Graph Neural Networks for Particle Tracking and Reconstruction

Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Fast inference of deep neural networks in FPGAs for particle physics

Detector Monitoring with Artificial Neural Networks at the CMS Experiment at the CERN Large Hadron Collider

FPGA-Accelerated Machine Learning Inference as a Service for Particle Physics Computing

Topology Classification with Deep Learning to Improve Real-Time Event Selection at the LHC

Variational autoencoders for new physics mining at the Large Hadron Collider

Pileup mitigation at the Large Hadron Collider with graph neural networks

LHC analysis-specific datasets with Generative Adversarial Networks

The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadro...

Machine Learning Anomaly Detection Applications to Compact Muon Solenoid Data Quality Monitoring