3 citations · 5 across the 6 of their papers we have counts for
6 papers
Hayden--Preskill recovery at finite temperature on a quantum processor: dynamics and initial state from the SYK model
Jeongho Bang, Moongul Byun, Kyoungho Cho +2
In the original Hayden--Preskill recovery, the post-injection scrambler and initial state are {\it not related}. We extend this setup in two ways: by using a SWAP gate so that the…
Quantum simulation of traversable-wormhole-inspired quantum teleportation in a chaotic binary sparse SYK model
Moongul Byun, Keun-Young Kim, Hyeonsoo Lee
We report the experimental signature of holographically motivated quantum teleportation on a quantum processor, driven by the highly entangled, chaotic dynamics of a many-body syst…
SelectiveKD: A semi-supervised framework for cancer detection in DBT through Knowledge Distillation and Pseudo-labeling
Laurent Dillard, Hyeonsoo Lee, Weonsuk Lee +3
When developing Computer Aided Detection (CAD) systems for Digital Breast Tomosynthesis (DBT), the complexity arising from the volumetric nature of the modality poses significant t…
Bayesian Optimization Meets Self-Distillation
HyunJae Lee, Heon Song, Hyeonsoo Lee +3
Bayesian optimization (BO) has contributed greatly to improving model performance by suggesting promising hyperparameter configurations iteratively based on observations from multi…
Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images
Hyeonsoo Lee, Junha Kim, Eunkyung Park +3
Recently, deep learning models have shown the potential to predict breast cancer risk and enable targeted screening strategies, but current models do not consider the change in the…
Scribble2Label: Scribble-Supervised Cell Segmentation via Self-Generating Pseudo-Labels with Consistency
Hyeonsoo Lee, Won-Ki Jeong
Segmentation is a fundamental process in microscopic cell image analysis. With the advent of recent advances in deep learning, more accurate and high-throughput cell segmentation h…