Eunggu Yun

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
On-Off Pattern Encoding and Path-Count Encoding as Deep Neural Network Representations.
CoRR, 2024

Learning Dynamic Brain Connectome with Graph Transformers for Psychiatric Diagnosis Classification.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Large-scale Graph Representation Learning of Dynamic Brain Connectome with Transformers.
CoRR, 2023

A Generative Self-Supervised Framework using Functional Connectivity in fMRI Data.
CoRR, 2023

Traversing Between Modes in Function Space for Fast Ensembling.
Proceedings of the International Conference on Machine Learning, 2023

Probabilistic Imputation for Time-series Classification with Missing Data.
Proceedings of the International Conference on Machine Learning, 2023

Martingale Posterior Neural Processes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Scale Mixtures of Neural Network Gaussian Processes.
Proceedings of the Tenth International Conference on Learning Representations, 2022


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