"manifold learning" Papers
15 papers found
Conference
Finsler Multi-Dimensional Scaling: Manifold Learning for Asymmetric Dimensionality Reduction and Embedding
Thomas Dagès, Simon Weber, Ya-Wei Eileen Lin et al.
CVPR 2025arXiv:2503.18010
3
citations
Follow the Energy, Find the Path: Riemannian Metrics from Energy-Based Models
Louis Bethune, David Vigouroux, Yilun Du et al.
NEURIPS 2025arXiv:2505.18230
2
citations
Manifold Learning by Mixture Models of VAEs for Inverse Problems
Giovanni S. Alberti, Johannes Hertrich, Matteo Santacesaria et al.
ICLR 2025arXiv:2303.15244
12
citations
Multivariate Time Series Anomaly Detection with Idempotent Reconstruction
Xin Sun, Heng Zhou, Chao Li
NEURIPS 2025
Random Forest Autoencoders for Guided Representation Learning
Adrien Aumon, Shuang Ni, Myriam Lizotte et al.
NEURIPS 2025arXiv:2502.13257
5
citations
The Noisy Laplacian: a Threshold Phenomenon for Non-Linear Dimension Reduction
Alex Kokot, Octavian-Vlad Murad, Marina Meila
ICML 2025
2
citations
Toward a Unified Geometry Understanding : Riemannian Diffusion Framework for Graph Generation and Prediction
Yisen Gao, Xingcheng Fu, Qingyun Sun et al.
NEURIPS 2025arXiv:2510.04522
Diffusion Models Encode the Intrinsic Dimension of Data Manifolds
Jan Stanczuk, Georgios Batzolis, Teo Deveney et al.
ICML 2024
Disentanglement Learning via Topology
Nikita Balabin, Daria Voronkova, Ilya Trofimov et al.
ICML 2024arXiv:2308.12696
3
citations
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
Sijie Wang, Rui She, Qiyu Kang et al.
AAAI 2024paperarXiv:2312.10616
11
citations
Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics
Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel et al.
ICML 2024
Generative Modeling on Manifolds Through Mixture of Riemannian Diffusion Processes
Jaehyeong Jo, Sung Ju Hwang
ICML 2024arXiv:2310.07216
16
citations
Graph Geometry-Preserving Autoencoders
Jungbin Lim, Jihwan Kim, Yonghyeon Lee et al.
ICML 2024
Graph Mixup on Approximate Gromov–Wasserstein Geodesics
Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.
ICML 2024
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.
ICML 2024arXiv:2405.06558
1
citations