5th Inter-experiment Machine Learning Workshop

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Sessions*

Happy hour session in front of Restaurant 1

Opening session

Invited talk

Workshop

Closing session

Industry Session

Industry Session

Tutorials

HEP Plenary

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Contributions*

An infra-red and collinear safe message passing neural network (in session "Workshop")

Anomaly detection for the quality control of silicon sensor wafers for the CMS HGCAL upgrade (in session "Workshop")

Application of artificial intelligence in the reconstruction of signals from the PADME electromagnetic calorimeter (in session "Workshop")

Autoencoders for semivisible jet detection (in session "Workshop")

Calibrating stochastic simulations with optimal transport (in session "Workshop")

Calomplification: The Power of Generative Calorimeter Models (in session "Workshop")

CBM performance for (multi-)strange hadron measurements using Machine Learning techniques (in session "Workshop")

CERN Data Science Seminar

Clustering for interpreting complex high-energy physics models (in session "Workshop")

Conditional Invertible Network for Neutrino Regression (in session "Workshop")

Cosmological Simulation-Based Inference with Truncated Marginal Neural Ratio Estimation (in session "Workshop")

CURTAINs for you Sliding Window: Constructing Unobserved Regions by Transporting Adjacent INtervals to improve the reach of bump hunts in the search for new physics (in session "Workshop")

Data-driven machine learning algorithms for the calibration of space-charge distortion fluctuations in the ALICE TPC (in session "Workshop")

Differentiable Physics Simulations for Deep Learning (in session "Invited talk")

Electron identification in ATLAS using a deep neural network (in session "Workshop")

Ephemeral Learning - Augmenting Triggers with Online-Trained Normalizing Flows (in session "Workshop")

Explaining machine-learned particle-flow reconstruction (in session "Workshop")

Foundation Models for Accelerated Discovery (in session "Industry Session")

FPGA acceleration of the CMS DNN based LLP Jet Algorithm for the LHC High-Luminosity upgrade (in session "Workshop")

Funnels: Exact maximum likelihood with dimensionality reduction (in session "Workshop")

Future applications of ML in HEP (in session "HEP Plenary")

GNN-based algorithm for full-event filtering and interpretation at the LHCb trigger (in session "Workshop")

Graph Neural Network Track Reconstruction for the ATLAS ITk Detector (in session "Workshop")

Hadrons, Better, Faster, Stronger (in session "Workshop")

Hardware and software challenges for massive-scale AI (in session "Industry Session")

How to drive scientific progress with community-driven open source projects: the scikit-learn approach (in session "Industry Session")

How to generate all possible simulations with GANs? (in session "Workshop")

IEA-GAN: Intra-Event Aware GAN for the Fast Simulation of PXD Background at Belle II (in session "Workshop")

Information-theoretic stochastic contrastive conditional GAN (InfoSCC-GAN) for physical data generation (in session "Workshop")

Invariant Representation Driven Neural Classifier for Anti-QCD Jet Tagging (in session "Workshop")

JAX and Differentiable Programming Tutorial (in session "Tutorials")

Learning New Physics aware of systematic uncertainties (in session "Workshop")

Learning Optimal Test Statistics in the Presence of Nuisance Parameters (in session "Workshop")

Leveraging universality of jet taggers through transfer learning (in session "Workshop")

Likelihood-Free Frequentist Inference for Calorimetric Muon Energy Measurement (in session "Workshop")

ML for SUEP Detection (in session "Workshop")

ML in Cosmology (in session "HEP Plenary")

ML-based Correction to Accelerate Geant4 Calorimeter Simulations (in session "Workshop")

MLaaS4HEP: Machine Learning as a Service for HEP (in session "Workshop")

Multi-objective optimization for the CMS High Granularity Calorimeter Level 1 trigger (in session "Workshop")

Neural network based primary vertex reconstruction with FPGAs for the upgrade of the CMS level-1 trigger system (in session "Workshop")

Neural network distributed training and optimization library (NNLO) (in session "Workshop")

Object condensation for end-to-end reconstruction in high occupancy calorimeters with graph neural networks (in session "Workshop")

Opening of the workshop (in session "Opening session")

Optimized Deep Learning Inference on High Level Trigger at the LHC: Computing time and Resource assessment (in session "Workshop")

Particle identification with machine learning in ALICE Run 3 (in session "Workshop")

Particle Transformer for Jet Tagging (in session "Workshop")

Particle-based Fast Jet Simulation at the LHC with Variational Autoencoders (in session "Workshop")

Point Cloud Deep Learning Methods for Pion Reconstruction in the ATLAS Detector (in session "Workshop")

Quantum Machine Learning algorithms in the latent space of HEP events (in session "Workshop")

Quantum ML (in session "HEP Plenary")

Quarks and gluons in the Lund plane (in session "Workshop")

Semi-supervised Graph Neural Networks for Pileup Noise Removal (in session "Workshop")

Spatio-Temporal Anomaly Detection for the DQM of the CMS Experiment via Graph Networks (in session "Workshop")

Summary of Learning To Discover workshop (in session "Workshop")

SUPA: A Lightweight Diagnostic Simulator for Machine Learning in Particle Physics. (in session "Workshop")

Targeting Multi-Loop Integrals with Neural Networks (in session "Workshop")

Towards a Deep Learning Model for Hadronization (in session "Workshop")

Tracking of Proton Traces in a Digital Tracking Calorimeter using Reinforcement Learning (in session "Workshop")

Truncated Marginal Neural Ratio Estimation with swyft (in session "Workshop")

Turbo-Sim: a generalised generative model with a physical latent space (in session "Workshop")

Two-level graphs for muon-tomography inference (in session "Workshop")

Uncertainty Aware Learning for High Energy Physics With A Cautionary Tale (in session "Workshop")

Unsupervised learning for real-time SUEP detection in a High Level Trigger system at the LHC (in session "Workshop")

Using Graph autoencoders to trigger on new physics at the LHC (in session "Workshop")

Using Machine Learning techniques in phenomenological studies in flavour physics (in session "Workshop")

Workshop closing (in session "Closing session")

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Events scheduled on*

5/9/22

5/10/22

5/11/22

5/12/22

5/13/22

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