On Explicit Curvature Regularization in Deep Generative Models

19 September 2023

Papers citing "On Explicit Curvature Regularization in Deep Generative Models"

9 / 9 papers shown

Title
Trajectory Manifold Optimization for Fast and Adaptive Kinodynamic Motion Planning Yonghyeon Lee 17 0 0 16 Oct 2024
Motion Manifold Flow Primitives for Task-Conditioned Trajectory Generation under Complex Task-Motion Dependencies Yonghyeon Lee Byeongho Lee Seungyeon Kim Frank C. Park 18 1 0 29 Jul 2024
(Deep) Generative Geodesics Beomsu Kim Michael Puthawala Jong Chul Ye Emanuele Sansone 20 0 0 15 Jul 2024
Metric Flow Matching for Smooth Interpolations on the Data Manifold Kacper Kapusniak Peter Potaptchik Teodora Reu Leo Zhang Alexander Tong Michael M. Bronstein A. Bose Francesco Di Giovanni 20 1 0 23 May 2024
$Γ$ -VAE: Curvature regularized variational autoencoders for uncovering emergent low dimensional geometric structure in high dimensional data Jason Z. Kim Nicolas Perrin-Gilbert Erkan Narmanli Paul Klein Christopher R. Myers Itai Cohen J. Waterfall J. Sethna DRL 26 0 0 02 Mar 2024
SymNoise: Advancing Language Model Fine-tuning with Symmetric Noise A. Yadav Arjun Singh 33 1 0 03 Dec 2023
MMP++: Motion Manifold Primitives with Parametric Curve Models Yonghyeon Lee 13 3 0 26 Oct 2023
A Geometric Perspective on Autoencoders Yonghyeon Lee 8 4 0 15 Sep 2023
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry Yong-Hyun Park Mingi Kwon J. Choi Junghyo Jo Youngjung Uh DiffM 17 60 0 24 Jul 2023