Summary of GSoC 2024 Projects and Supervisors

Full List of Proposals

Continuous learning for high-energy physics data quality monitoring
Deep Graph anomaly detection with contrastive learning for new physics searches
Deep Learning Inference for mass regression
Diffusion Models for Fast Detector Simulation
Diffusion Models for Gravitational Lensing Simulation
Diffusion models for Fast and accurate simulations of the low level CMS experiment data.
Discovering and exploiting abstract symmetry elements obtained from low-level data within the CMS experiment
End-to-End Deep Learning Regression for Measurements with the CMS Experiment
Equivariant Vision Networks for Predicting Planetary Systems’ Architectures
Equivariant quantum neural networks for High Energy Physics Analysis at the LHC
Event Classification With Masked Transformer Autoencoders
Evolutionary and Transformer Models for Symbolic Regression
Exoplanet Atmosphere Characterization
Expanding Strong Gravitational Lensing Simulations
Fast Accurate Symbolic Empirical Representation Of Histograms
Graph Neural Networks for Particle Momentum Estimation in the CMS Trigger System
Graph Representation Learning for Fast Detector Simulation
Graph Transformers for Fast Detector Simulation
Implementation of Quantum Generative Adversarial Networks to Perform High Energy Physics Analysis at the LHC
Learning Parametrization with Implicit Neural Representations
Learning Representation Through Self-Supervised Learning on Real Gravitational Lensing Images
Learning quantum representations of classical high energy physics data with contrastive learning
Learning the Latent Structure with Diffusion Models
Masked Auto-Encoders for Efficient End-to-End Particle Reconstruction and Compression for the CMS Experiment
Non-local GNNs for Jet Classification
Optimal Transport in High Energy Physics
Physics-Guided Machine Learning
Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC
Quantum transformer for High Energy Physics Analysis at the LHC
Regression on Planetary Mass in Protoplanetary Disks
Search for Strong Gravitational Lenses
Self-Supervised Learning for End-to-End Particle Reconstruction for the CMS Experiment
State-space models for squared amplitude calculation in high-energy physics
Superresolution for Strong Gravitational Lensing
Transformer Models for Symbolic Calculations of Squared Amplitudes in HEP