Summary of GSoC 2021 Projects and Supervisors

Full List of Proposals

Background Estimation with Neural AutoRegressive Flows
Cosmic-Ray Imaging Studies via Mission-Imagery from Space (CRISMIS)
Decoding quantum states through nuclear magnetic resonance
Deep Regression Techniques for Decoding Dark Matter with Strong Gravitational Lensing
Dimensionality Reduction for Studying Diffuse Circumgalactic Medium
Domain Adaptation for Decoding Dark Matter with Strong Gravitational Lensing
End-to-End Deep Learning Reconstruction for CMS Experiment
End-to-End Deep Learning Regression for Measurements with the CMS Experiment
Equivariant Neural Networks for Dark Matter Morphology with Strong Gravitational Lensing
Graph Neural Networks for End-to-End Particle Identification with the CMS Experiment
Graph Neural Networks for Particle Momentum Estimation in the CMS Trigger System
Graph Representation Learning for Fast Detector Simulation
Implementation of Quantum Generative Models to Perform High Energy Physics Analysis at the LHC
Machine Learning Model for the Albedo of Mercury
Machine Learning Model for the Lunar Albedo
Machine Learning for Turbulent Fluid Dynamics
Normalizing Flows for Fast Detector Simulation
Quantum Convolutional Neural Networks for High Energy Physics Analysis at the LHC
Quantum Graph Neural Networks for High Energy Physics Analysis at the LHC
Thermonuclear Supernova Classification via their Nuclear Signatures