Manifold Dimension Estimation via Local Graph Structure
Fuente:
arXiv
Saved in:
| Main Authors: | Bi, Zelong, de Micheaux, Pierre Lafaye |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
by: Bi, Zelong, et al.
Published: (2025)
by: Bi, Zelong, et al.
Published: (2025)
Generative Flexible Latent Structure Regression (GFLSR) model
by: Grazian, Clara, et al.
Published: (2025)
by: Grazian, Clara, et al.
Published: (2025)
tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
by: Ibenegbu, Amuche, et al.
Published: (2026)
by: Ibenegbu, Amuche, et al.
Published: (2026)
Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026)
by: Geenens, Gery, et al.
Published: (2026)
Inductive Global and Local Manifold Approximation and Projection
by: Kim, Jungeum, et al.
Published: (2024)
by: Kim, Jungeum, et al.
Published: (2024)
Adaptive Heavy-Tailed Stochastic Gradient Descent
by: Gong, Bodu, et al.
Published: (2025)
by: Gong, Bodu, et al.
Published: (2025)
High-Dimensional Statistical Process Control via Manifold Fitting and Learning
by: Tas, Burak I., et al.
Published: (2025)
by: Tas, Burak I., et al.
Published: (2025)
A Machine Learning Framework for Handling Unreliable Absence Label and Class Imbalance for Marine Stinger Beaching Prediction
by: Ibenegbu, Amuche, et al.
Published: (2025)
by: Ibenegbu, Amuche, et al.
Published: (2025)
Common Structure Discovery in Collections of Bipartite Networks: Application to Pollination Systems
by: Lacoste, Louis, et al.
Published: (2025)
by: Lacoste, Louis, et al.
Published: (2025)
Normalizing Flow to Augmented Posterior: Conditional Density Estimation with Interpretable Dimension Reduction for High Dimensional Data
by: Zeng, Cheng, et al.
Published: (2025)
by: Zeng, Cheng, et al.
Published: (2025)
Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
by: Chen, Shuze, et al.
Published: (2024)
by: Chen, Shuze, et al.
Published: (2024)
Mapping Methane -- The Impact of Dairy Farm Practices on Emissions Through Satellite Data and Machine Learning
by: Bi, Hanqing, et al.
Published: (2024)
by: Bi, Hanqing, et al.
Published: (2024)
Flow Battery Manifold Design with Heterogeneous Inputs Through Generative Adversarial Neural Networks
by: Seng, Eric, et al.
Published: (2025)
by: Seng, Eric, et al.
Published: (2025)
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising
by: Wu, Hau-Tieng
Published: (2024)
by: Wu, Hau-Tieng
Published: (2024)
Understanding When Graph Convolutional Networks Help: A Diagnostic Study on Label Scarcity and Structural Properties
by: Subedi, Nischal, et al.
Published: (2025)
by: Subedi, Nischal, et al.
Published: (2025)
A linear regression model for quantile function data applied to paired pulmonary 3d CT scans
by: Béclin, Marie-Félicia, et al.
Published: (2024)
by: Béclin, Marie-Félicia, et al.
Published: (2024)
Structured Matching via Cost-Regularized Unbalanced Optimal Transport
by: Pardini, Emanuele, et al.
Published: (2025)
by: Pardini, Emanuele, et al.
Published: (2025)
Efficient Causal Structure Learning via Modular Subgraph Integration
by: Sun, Haixiang, et al.
Published: (2026)
by: Sun, Haixiang, et al.
Published: (2026)
Learning Individual Reproductive Behavior from Aggregate Fertility Rates via Neural Posterior Estimation
by: Ciganda, Daniel, et al.
Published: (2025)
by: Ciganda, Daniel, et al.
Published: (2025)
Structural Evaluation Metrics for SVG Generation via Leave-One-Out Analysis
by: Zhu, Haonan, et al.
Published: (2026)
by: Zhu, Haonan, et al.
Published: (2026)
Data is missing again -- Reconstruction of power generation data using $k$-Nearest Neighbors and spectral graph theory
by: Pierrot, Amandine, et al.
Published: (2024)
by: Pierrot, Amandine, et al.
Published: (2024)
Interval Prediction of Annual Average Daily Traffic on Local Roads via Quantile Random Forest with High-Dimensional Spatial Data
by: Yao, Ying, et al.
Published: (2025)
by: Yao, Ying, et al.
Published: (2025)
Probabilistic Digital Twin for Misspecified Structural Dynamical Systems via Latent Force Modeling and Bayesian Neural Networks
by: Kashyap, Sahil, et al.
Published: (2025)
by: Kashyap, Sahil, et al.
Published: (2025)
Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning
by: Bai, Yanbing, et al.
Published: (2024)
by: Bai, Yanbing, et al.
Published: (2024)
Optimal Transport for Treatment Effect Estimation
by: Wang, Hao, et al.
Published: (2023)
by: Wang, Hao, et al.
Published: (2023)
Communication-Efficient Distributed Estimation and Inference for Cox's Model
by: Bayle, Pierre, et al.
Published: (2023)
by: Bayle, Pierre, et al.
Published: (2023)
A Generative Framework for Causal Estimation via Importance-Weighted Diffusion Distillation
by: Song, Xinran, et al.
Published: (2025)
by: Song, Xinran, et al.
Published: (2025)
A Graph Sufficiency Perspective for Neural Networks
by: Shen, Cencheng, et al.
Published: (2025)
by: Shen, Cencheng, et al.
Published: (2025)
Graph Data Modeling: Molecules, Proteins, & Chemical Processes
by: Barraza-Chavez, José Manuel, et al.
Published: (2025)
by: Barraza-Chavez, José Manuel, et al.
Published: (2025)
Bayesian Estimation of Extreme Quantiles and the Exceedance Distribution for Paretian Tails
by: Johnston, Douglas E.
Published: (2025)
by: Johnston, Douglas E.
Published: (2025)
Variational Approximated Restricted Maximum Likelihood Estimation for Spatial Data
by: Thakur, Debjoy
Published: (2026)
by: Thakur, Debjoy
Published: (2026)
A Framework for Scalable Ambient Air Pollution Concentration Estimation
by: Berrisford, Liam J, et al.
Published: (2024)
by: Berrisford, Liam J, et al.
Published: (2024)
A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
by: Cuicizion, Eliuvish
Published: (2024)
by: Cuicizion, Eliuvish
Published: (2024)
Decomposing Global AUC into Cluster-Level Contributions for Localized Model Diagnostics
by: Sudjianto, Agus, et al.
Published: (2025)
by: Sudjianto, Agus, et al.
Published: (2025)
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means
by: Van Elst, Anna, et al.
Published: (2025)
by: Van Elst, Anna, et al.
Published: (2025)
Traffic State Estimation from Vehicle Trajectories with Anisotropic Gaussian Processes
by: Wu, Fan, et al.
Published: (2023)
by: Wu, Fan, et al.
Published: (2023)
Bayesian Safety Validation for Failure Probability Estimation of Black-Box Systems
by: Moss, Robert J., et al.
Published: (2023)
by: Moss, Robert J., et al.
Published: (2023)
Uncertainty Quantification of Spatiotemporal Travel Demand with Probabilistic Graph Neural Networks
by: Wang, Qingyi, et al.
Published: (2023)
by: Wang, Qingyi, et al.
Published: (2023)
Bayesian Active Learning of (small) Quantile Sets through Expected Estimator Modification
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)
by: Abdelmalek-Lomenech, Romain Ait, et al.
Published: (2025)
Pure Component Property Estimation Framework Using Explainable Machine Learning Methods
by: Jiao, Jianfeng, et al.
Published: (2025)
by: Jiao, Jianfeng, et al.
Published: (2025)
Similar Items
-
A Survey and Comparative Evaluation of Intrinsic Dimension Estimators under the Manifold Hypothesis
by: Bi, Zelong, et al.
Published: (2025) -
Generative Flexible Latent Structure Regression (GFLSR) model
by: Grazian, Clara, et al.
Published: (2025) -
tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
by: Ibenegbu, Amuche, et al.
Published: (2026) -
Deep-testing: the case of dependence detection
by: Geenens, Gery, et al.
Published: (2026) -
Inductive Global and Local Manifold Approximation and Projection
by: Kim, Jungeum, et al.
Published: (2024)