6 citations · 10 across the 8 of their papers we have counts for
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cs.AI2023★ 6 cited
MMP++: Motion Manifold Primitives with Parametric Curve Models
Yonghyeon Lee
Motion Manifold Primitives (MMP), a manifold-based approach for encoding basic motion skills, can produce diverse trajectories, enabling the system to adapt to unseen constraints.…
cs.LG2023★ 3 cited
A Geometric Perspective on Autoencoders
Yonghyeon Lee
This paper presents the geometric aspect of the autoencoder framework, which, despite its importance, has been relatively less recognized. Given a set of high-dimensional data poin…
cs.AI2023★ 1 cited
On Explicit Curvature Regularization in Deep Generative Models
Yonghyeon Lee, Frank Chongwoo Park
We propose a family of curvature-based regularization terms for deep generative model learning. Explicit coordinate-invariant formulas for both intrinsic and extrinsic curvature me…