Search Results for author: Hyungsoon Im

Found 3 papers, 1 papers with code

Molecular fingerprinting of biological nanoparticles with a label-free optofluidic platform

no code implementations11 Aug 2023 Alexia Stollmann, Jose Garcia-Guirado, Jae-Sang Hong, Hyungsoon Im, Hakho Lee, Jaime Ortega Arroyo, Romain Quidant

Label-free detecting multiple analytes in a high-throughput fashion has been one of the long-sought goals in biosensing applications.

Specificity

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

1 code implementation5 May 2022 Matthew Leming, Sudeshna Das, Hyungsoon Im

We also applied a method for quantifying uncertainty across an ensemble of these models to automatically exclude out-of-distribution data in the AD detection.

regression Uncertainty Quantification

Evolution Strategies Converges to Finite Differences

no code implementations27 Dec 2019 John C. Raisbeck, Matthew Allen, Ralph Weissleder, Hyungsoon Im, Hakho Lee

Since the debut of Evolution Strategies (ES) as a tool for Reinforcement Learning by Salimans et al. 2017, there has been interest in determining the exact relationship between the Evolution Strategies gradient and the gradient of a similar class of algorithms, Finite Differences (FD).

reinforcement-learning Reinforcement Learning (RL)

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