2024 Poster "manifold learning" Papers

7 papers found

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Diffusion Models Encode the Intrinsic Dimension of Data Manifolds

Jan Stanczuk, Georgios Batzolis, Teo Deveney et al.

ICML 2024poster

Disentanglement Learning via Topology

Nikita Balabin, Daria Voronkova, Ilya Trofimov et al.

ICML 2024posterarXiv:2308.12696

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel et al.

ICML 2024poster

Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes

Jaehyeong Jo, Sung Ju Hwang

ICML 2024posterarXiv:2310.07216

Graph Geometry-Preserving Autoencoders

Jungbin Lim, Jihwan Kim, Yonghyeon Lee et al.

ICML 2024poster

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.

ICML 2024poster

Random matrix theory improved Fréchet mean of symmetric positive definite matrices

Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.

ICML 2024posterarXiv:2405.06558