Author

Daeun Kim

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#machine learning Open access Jan 2026

Comparison of image processing models in quark–gluon jet classification

This work compares convolutional neural network, vision transformers, and hierarchical Swin transformers using the same three-channel jet-image representation, consisting of charged-particle momentum, neutral-particle momentum, and charged-particle multiplicity from PYTHIA 8 jets.

Daeun Kim, Jiwon Lee, Wonjun Jeong et al. · Physica Scripta · 0 citations

Preprint Sep 2026

Isotropic Embedding Perturbations for Robust Vision Language Encoders

Aether is introduced, a simple plug-in method that applies diffusion-style random perturbations in the embedding space via controlled alpha-mixing, specifically designed to provide isotropic regularization that remains semantically consistent.

Hyesong Choi, Daeun Kim, Song Park et al. · 0 citations