ERD

Learning new physics efficiently with nonparametric methods

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

JEDI-net: a jet identification algorithm based on interaction networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Learning multivariate new physics

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Distributed Training and Optimization Of Neural Networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Anomaly Detection with Conditional Variational Autoencoders

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Lightweight jet reconstruction and identification as an object detection task

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup descriptio...

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Unravelling physics beyond the standard model with classical and quantum anomaly detection

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

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

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Calorimetry with deep learning: particle simulation and reconstruction for collider physics

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning

Project: mPP

Updated at: 27-04-2024

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Project acronym mPP

Resources

Selected filters:

Learning new physics efficiently with nonparametric methods

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Autoencoders on FPGAs for real-time, unsupervised new physics detection at 40 MHz at the Large Hadron Collider

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

A Reconfigurable Neural Network ASIC for Detector Front-End Data Compression at the HL-LHC

JEDI-net: a jet identification algorithm based on interaction networks

Learning multivariate new physics

Distributed Training and Optimization Of Neural Networks

Trigger Rate Anomaly Detection with Conditional Variational Autoencoders at the CMS Experiment

Fast inference of Boosted Decision Trees in FPGAs for particle physics

Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

Anomaly Detection with Conditional Variational Autoencoders

Lightweight jet reconstruction and identification as an object detection task

Particle Generative Adversarial Networks for full-event simulation at the LHC and their application to pileup descriptio...

Improving Variational Autoencoders for New Physics Detection at the LHC With Normalizing Flows

Unravelling physics beyond the standard model with classical and quantum anomaly detection

MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks

Compressing deep neural networks on FPGAs to binary and ternary precision with HLS4ML

Accelerated Charged Particle Tracking with Graph Neural Networks on FPGAs

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Calorimetry with deep learning: particle simulation and reconstruction for collider physics

Data Augmentation at the LHC through Analysis-specific Fast Simulation with Deep Learning