2 citations · 2 across the 7 of their papers we have counts for
8 papers
Beyond Labels: Information-Efficient Human-in-the-Loop Learning using Ranking and Selection Queries
Belén Martín-Urcelay, Yoonsang Lee, Matthieu R. Bloch +1
Integrating human expertise into machine learning systems often reduces the role of experts to labeling oracles, a paradigm that limits the amount of information exchanged and fail…
Structurally informed data assimilation in two dimensions
Tongtong Li, Anne Gelb, Yoonsang Lee
Accurate data assimilation (DA) for systems with piecewise-smooth or discontinuous state variables remains a significant challenge, as conventional covariance-based ensemble Kalman…
Post-Training Augmentation Invariance
Keenan Eikenberry, Lizuo Liu, Yoonsang Lee
This work develops a framework for post-training augmentation invariance, in which our goal is to add invariance properties to a pretrained network without altering its behavior on…
Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling
Yoonsang Lee
Nonlinear Bayesian update for a prior ensemble is proposed to extend traditional ensemble Kalman filtering to settings characterized by non-Gaussian priors and nonlinear measuremen…
Stochastic approach for elliptic problems in perforated domains
Jihun Han, Yoonsang Lee
A wide range of applications in science and engineering involve a PDE model in a domain with perforations, such as perforated metals or air filters. Solving such perforated domain…
Learning In-between Imagery Dynamics via Physical Latent Spaces
Jihun Han, Yoonsang Lee, Anne Gelb
We present a framework designed to learn the underlying dynamics between two images observed at consecutive time steps. The complex nature of image data and the lack of temporal in…
An analysis of the derivative-free loss method for solving PDEs
Jihun Han, Yoonsang Lee
This study analyzes the derivative-free loss method to solve a certain class of elliptic PDEs and fluid problems using neural networks. The approach leverages the Feynman-Kac formu…
A Structurally Informed Data Assimilation Approach for Nonlinear Partial Differential Equations
Tongtong Li, Anne Gelb, Yoonsang Lee
Ensemble transform Kalman filtering (ETKF) data assimilation is often used to combine available observations with numerical simulations to obtain statistically accurate and reliabl…