Skip to content
GSoC Organizations / Guide
Account

GSOC 2025 PROJECT

Unsupervised super-resolution and analysis of observed lensing images

Official project
Contributor
Anirudh Shankar
Mentors
Pranath Reddy, Anna Parul
Organization
Machine Learning for Science (ML4SCI)Science and medicine
Program
GSoC 2025In progress · Advanced difficulty

About this project

Description from the program archive

Machine learning based analyses are proving to be very potent in understanding complex physical systems. This project aims to develop a reinforcement learning - CNN hybrid machinery that will perform unsupervised super-resolution and study of observed strong gravitational lensing images. The developed machinery will be useful in the study of data releases of upcoming lensing surveys.

Tags

AI

From the people who did it

No proposal or progress posts shared yet

Worked on this project? Share the proposal that got you selected and the posts you wrote.

Claim this project

GSOC 2025

More Machine Learning for Science (ML4SCI) projects in 2025.

All projects

  1. Foundation models for End-to-End event reconstruction

    Aaditya PorwalMentored by Diptarko Choudhury, Ruchi Chudasama

    Project

  2. Super-Resolution and Analysis of Gravitational Lensing Images

    Aleksandr DuplinskiiMentored by Pranath Reddy, Brendan Ames, Mike Toomey

    Project

  3. Quantum Particle transformer for High Energy Physics Analysis at the LHC

    Alessandro TesiMentored by Eyup, KC Kong, Isabel Pedraza

    Project

  4. Discovering Hidden Symmetries in CMS Calorimetric Data via Semi-Supervised Learning

    Alexandra MurariuMentored by ML4SCI, Diptarko Choudhury, Konstantin Matchev +1

    Project

  5. Q-MAML for Variational Quantum Algorithms for High Energy Physics Analysis at the LHC

    arnavsinghal09Mentored by KC Kong, Jeihee, Junyong Lee

    Project

  6. Physics Guided Machine Learning on Real Lensing Images

    Ashutosh OjhaMentored by ML4SCI, Pranath Reddy, Mike Toomey

    Project

  7. Discovery of hidden symmetries and conservation laws

    Avishikta_BhattacharjeeMentored by Diptarko Choudhury, Konstantin Matchev, Alexander Roman

    Project

  8. Physics-Informed Performer for Symbolic Squared Amplitudes in HEP

    Ayush Mishra AMentored by Eric Reinhardt, Dinesh PR

    Project

  9. A Diffusion-Based Deep Learning Framework for Denoising Protoplanetary Disk Observations

    Chukwunwogor FaithfulMentored by ML4SCI, Jason Terry

    Project

  10. Continual learning for data quality monitoring

    Daksh MorMentored by Eric Reinhardt, Resham, Dale Julson

    Project

  11. DeepLense: Gravitational Lens Finding Project

    DhruvSrivastavaMentored by Anna Parul, Brendan Ames

    Project

  12. Exoplanet Atmosphere Characterization

    Gaurav ShuklaMentored by Katia Matcheva, Emilie Panek

    Project

  13. Discovery of hidden symmetries and conservation laws

    Green KediaMentored by Diptarko Choudhury, Konstantin Matchev, Alexander Roman

    Project

  14. Diffusion Models for Gravitational Lensing Simulation

    hamees-sayedMentored by Pranath Reddy, Mike Toomey

    Project

  15. Foundation Model for Gravitational Lensing

    J RishiMentored by Pranath Reddy, Mike Toomey

    Project

  16. Latent Neural Signatures in Clinical vs. Neurotypical Dyads: A CEBRA Pipeline

    jeffreyhuang1009Mentored by Brendan Ames, Evie Malaia

    Project

  17. Data Processing Pipeline for the LSST

    Kartik MandarMentored by Anna Parul, Brendan Ames

    Project

  18. Foundation models for symbolic regression tasks

    Krish MalikMentored by ML4SCI, Eric Reinhardt, Dinesh PR

    Project

  19. Neural Harmony – Decoding Social Interactions with CEBRA-based framework for analysing EEG data

    Maria GlushaninaMentored by Brendan Ames, Evie Malaia

    Project

  20. Quantum Diffusion Model for HEP

    MashaMentored by ML4SCI, Isabel Pedraza

    Project

  21. Implementation of Quantum Generative Adversarial Networks to Perform HEP Analysis at the LHC

    Maya MaMentored by ML4SCI, Amey Bhatuse, ToMago

    Project

  22. State-space models for squared amplitude calculation in high-energy physics

    Prasanth NaiduMentored by Eric Reinhardt, Dinesh PR

    Project

  23. Building a Foundational Model for Symbolic Regression in High Energy Physics

    MicheMentored by ML4SCI, Eric Reinhardt

    Project

  24. Quantum Kolmogorov-Arnold Networks for High Energy Physics Analysis at the LHC

    Ria KhatoniarMentored by Marco Knipfer, Eric Reinhardt, Roy T. Forestano +1

    Project

  25. Graph Representation Learning for Fast Detector Simulation

    Rushil SinghaMentored by ToMago, Diptarko Choudhury, Dinesh PR

    Project

  26. Next-Generation Transformer Models for Symbolic Calculations of Squared Amplitudes in HEP

    Ritesh BhaleraoMentored by ML4SCI, Eric Reinhardt, Dinesh PR

    Project

  27. Physics informed neural network diffusion equation

    SijilMentored by Diptarko Choudhury, Harrison Prosper, Alexander Roman

    Project

  28. Quantum Machine Learning For Exoplanet Characterization

    Sourish PhateMentored by Marco Knipfer, Konstantin Matchev, Katia Matcheva +2

    Project

  29. Foundation Models for Exoplanet Characterization

    Tanmay SinghalMentored by ML4SCI, Jason Terry, Konstantin Matchev +1

    Project

  30. A Self-Supervised, Physics-Informed Hybrid Transformer Framework for Multi-Tasks in HEP

    Thanh P NguyenMentored by Diptarko Choudhury

    Project

Data: Google Summer of Code public archive. This project in the official archive