US ATLAS Machine Learning Training Event 2022

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Sessions*

Day 3: Applications and Deployment in ATLAS

Day 2: Application of ML in particle physics

Day 1: Introduction to Machine Learning

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Contributions*

Closing remarks (in session "Day 3: Applications and Deployment in ATLAS")

GNN for Tracking and Generative Models (in session "Day 3: Applications and Deployment in ATLAS")

Hands-On Tutorial-1: Intro to ML tools and concepts (in session "Day 1: Introduction to Machine Learning")

Hands-On Tutorial-2: Introduction to Neural Networks (in session "Day 1: Introduction to Machine Learning")

Hands-On Tutorial-2: Introduction to Neural Networks (in session "Day 1: Introduction to Machine Learning")

Hands-On Tutorial: Graph Neural Networks (in session "Day 3: Applications and Deployment in ATLAS")

Hands-On Tutorial: Symmetries with DeepSets (in session "Day 2: Application of ML in particle physics")

Industry Talk: Doing research at NVIDIA on weather modelling (in session "Day 2: Application of ML in particle physics")

Lecture-1: Introduction to Machine Learning (in session "Day 1: Introduction to Machine Learning")

Lecture-2 : Introduction to Machine Learning (in session "Day 1: Introduction to Machine Learning")

ML4Pions (in session "Day 3: Applications and Deployment in ATLAS")

Overview of ML in particle physics (in session "Day 2: Application of ML in particle physics")

Symmetries and flavour tagging in ATLAS (in session "Day 2: Application of ML in particle physics")

Talk with Hands-On Demo: Anomaly Detection (in session "Day 3: Applications and Deployment in ATLAS")

Talk with Hands-On Demo: Deploying ML algorithms in ATLAS with ONNX (in session "Day 3: Applications and Deployment in ATLAS")

Talk with Hands-On Demo: Fast inference on an FPGA using hls4ml (in session "Day 3: Applications and Deployment in ATLAS")

Uncertainties (in session "Day 2: Application of ML in particle physics")

Unfolding (in session "Day 2: Application of ML in particle physics")

Welcome (in session "Day 1: Introduction to Machine Learning")

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Events scheduled on*

27/07/2022

28/07/2022

29/07/2022

30/07/2022

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