Research Areas

• Denoising diffusion models for jet image generation
• Graph embeddings and graph convolutional networks for high dimensional HEP and biomedical datasets
• Active learning for rare, strange jets tagging
• Latent spaces, embeddings, and transformers for jets
• Supervised Spatially Spectrally Coherent Local Linear Embedding WGCN (Wasserstein Graph Convolutional Network) Architecture for multi dimensional data embedding and classification