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Efficient Weingarten Map and Curvature Estimation on Manifolds
The dataset used in the paper is a point cloud data sampled from a manifold embedded in Euclidean space. -
Metric-constrained Eikonal solver
The dataset used in this paper is a collection of manifolds, including Euclidean space, the unit hypersphere, and the peaks manifold. -
Swiss roll
The dataset handled in this paper are pairwise distances between instances. This naturally gives a geometrical flavour to the approach since distances fall within the... -
Manifold Adversarial Training
Manifold Adversarial Training (MAT) is a novel method to smooth the distributional manifold in the latent space. -
Manifold Learning
The dataset used in the paper is a finite pseudometric space with n points, and the goal is to construct an n x m real-valued matrix of embeddings. -
UNSUPERVISED LATENT BEHAVIOR MANIFOLD LEARNING FROM ACOUSTIC FEATURES: AUDIO2...
Behavioral annotation using signal processing and machine learning is highly dependent on training data and manual annotations of behavioral labels. The proposed framework... -
Tangent Bundle Neural Networks
The dataset is used to test the performance of Tangent Bundle Neural Networks on three tasks: denoising of a tangent vector field on the torus, reconstruction from partial... -
2D Spiral Dataset
The dataset used in the paper is a 2D spiral dataset, which is a classic manifold learning dataset. -
Commutativity and Disentanglement from the Manifold Perspective
The dataset is used to study disentanglement from the manifold perspective. -
Swiss Roll dataset
The dataset used in the paper is a 3D non-linear Swiss Roll dataset which comprises 1600 datapoints grouped in 4 classes. -
LOCA: LOcal Conformal Autoencoder
The LOCA dataset is a collection of distorted neighborhoods of a fixed size of data samples. -
UMAP: Uniform manifold approximation and projection for dimension reduction
UMAP: Uniform manifold approximation and projection for dimension reduction -
Coil-10 dataset
The Coil-10 dataset is a 3D dataset of 10 physical objects rotating along one axis in 3D. The dataset is used to test the proposed chart autoencoder model. -
First hitting diffusion models
The dataset used in the paper is not explicitly described, but it is mentioned that the authors used a first hitting diffusion model for generating manifold, graph and... -
Estimating visual information from audio through manifold learning
Estimating visual information from audio through manifold learning. -
Target Measure Diffusion Map
The dataset used in this paper is a point cloud X (n) sampled from a density ρ using any suitable enhanced sampling technique such as temperature acceleration or metadynamics.