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GSoC Phase 1 – Graph Representation Learning for Fast Detector Simulation- Rushil Singha#10

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GSoC Phase 1 – Graph Representation Learning for Fast Detector Simulation- Rushil Singha#10
rushil23451 wants to merge 2 commits intoML4SCI:mainfrom
rushil23451:main

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This PR adds the implementation from my GSoC 2025 Phase 1 project with ML4Sci, The code right now enhances the existing architecture by using:

  1. ChebNet Encoder for graph-based latent representation
  2. Latent Diffusion Model (LDM) for efficient jet generation (~400× speedup)
  3. Enhanced MLP Decoder for accurate jet reconstruction
  4. Preprocessing & Training Pipeline with full documentation

Includes a README.md and modular codebase along with the Pipeline diagram of the model. Ready for review and feedback!


Rushil Singha
GSoC 2025 – ML4Sci

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