2 citations · 2 across the 1 of their papers we have counts for
3 papers
cs.LG2024
Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
Wasserstein Gradient Flow (WGF) describes the gradient dynamics of probability density within the Wasserstein space. WGF provides a promising approach for conducting optimization o…
cs.LG2023
Analyzing and Improving Optimal-Transport-based Adversarial Networks
Jaemoo Choi, Jaewoong Choi, Myungjoo Kang
Optimal Transport (OT) problem aims to find a transport plan that bridges two distributions while minimizing a given cost function. OT theory has been widely utilized in generative…
cs.CL2023★ 2 cited
Accelerated materials language processing enabled by GPT
Jaewoong Choi, Byungju Lee
Materials language processing (MLP) is one of the key facilitators of materials science research, as it enables the extraction of structured information from massive materials scie…