Imagen de Portada

Statistical Modeling of Univariate Multimodal Data

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Chasani, Paraskevi, Likas, Aristidis
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A Multivariate Unimodality Test Harnessing the Dip Statistic of Mahalanobis Distances Over Random Projections
por: Kolyvakis, Prodromos, et al.
Publicado: (2023)

Silhouette-Driven Instance-Weighted $k$-means
por: Semoglou, Aggelos, et al.
Publicado: (2025)

Composite Silhouette: A Subsampling-based Aggregation Strategy
por: Semoglou, Aggelos, et al.
Publicado: (2026)

Revisiting Silhouette Aggregation
por: Pavlopoulos, John, et al.
Publicado: (2024)

Deep Clustering Using the Soft Silhouette Score: Towards Compact and Well-Separated Clusters
por: Vardakas, Georgios, et al.
Publicado: (2024)

Counterfactual Explanations for k-means and Gaussian Clustering
por: Vardakas, Georgios, et al.
Publicado: (2025)

Chronax: A Jax Library for Univariate Statistical Forecasting and Conformal Inference
por: Carey, Xan, et al.
Publicado: (2026)

TopClustRAG at SIGIR 2025 LiveRAG Challenge
por: Bakagianni, Juli, et al.
Publicado: (2025)

uGMM-NN: Univariate Gaussian Mixture Model Neural Network
por: Ali, Zakeria Sharif
Publicado: (2025)

ITI-IQA: a Toolbox for Heterogeneous Univariate and Multivariate Missing Data Imputation Quality Assessment
por: Pons-Suñer, Pedro, et al.
Publicado: (2024)

Univariate Channel Fusion for Multivariate Time Series Classification
por: Moro, Fernando, et al.
Publicado: (2026)

Universal description of the Neutron Star's surface and its key global properties: A Machine Learning Approach for nonrotating and rapidly rotating stellar models
por: Papigkiotis, Grigorios, et al.
Publicado: (2025)

AdaPTS: Adapting Univariate Foundation Models to Probabilistic Multivariate Time Series Forecasting
por: Benechehab, Abdelhakim, et al.
Publicado: (2025)

Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models
por: Motamedi, Maryam, et al.
Publicado: (2021)

Noisy Interpolation Learning with Shallow Univariate ReLU Networks
por: Joshi, Nirmit, et al.
Publicado: (2023)

Chronos-2: From Univariate to Universal Forecasting
por: Ansari, Abdul Fatir, et al.
Publicado: (2025)

Hinge-FM2I: An Approach using Image Inpainting for Interpolating Missing Data in Univariate Time Series
por: Saad, Noufel, et al.
Publicado: (2024)

Implicit Bias of Mirror Flow for Shallow Neural Networks in Univariate Regression
por: Liang, Shuang, et al.
Publicado: (2024)

Interactive Counterfactual Generation for Univariate Time Series
por: Schlegel, Udo, et al.
Publicado: (2024)

Univariate Skeleton Prediction in Multivariate Systems Using Transformers
por: Morales, Giorgio, et al.
Publicado: (2024)

Generalized Prompt Tuning: Adapting Frozen Univariate Time Series Foundation Models for Multivariate Healthcare Time Series
por: Liu, Mingzhu, et al.
Publicado: (2024)

Lag Selection for Univariate Time Series Forecasting using Deep Learning: An Empirical Study
por: Leites, José, et al.
Publicado: (2024)

TabResFlow: A Normalizing Spline Flow Model for Probabilistic Univariate Tabular Regression
por: Madhusudhanan, Kiran, et al.
Publicado: (2025)

Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
por: Madarasingha, Chamara, et al.
Publicado: (2025)

DualWeaver: Synergistic Feature Weaving Surrogates for Multivariate Forecasting with Univariate Time Series Foundation Models
por: Li, Jinpeng, et al.
Publicado: (2026)

Finding the DeepDream for Time Series: Activation Maximization for Univariate Time Series
por: Schlegel, Udo, et al.
Publicado: (2024)

Convolutional Neural Networks for Toxic Comment Classification
por: Georgakopoulos, Spiros V., et al.
Publicado: (2018)

Univariate Conditional Variational Autoencoder for Morphogenic Patterns Design in Frontal Polymerization-Based Manufacturing
por: Liu, Qibang, et al.
Publicado: (2024)

Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
por: Qiao, Dan, et al.
Publicado: (2024)

Does Flatness imply Generalization for Logistic Loss in Univariate Two-Layer ReLU Network?
por: Qiao, Dan, et al.
Publicado: (2025)

CRPS-Optimal Binning for Univariate Conformal Regression
por: Toccaceli, Paolo
Publicado: (2026)

Diffusion Model for Manifold Data: Score Decomposition, Curvature, and Statistical Complexity
por: Zhang, Zixuan, et al.
Publicado: (2026)

Augmented neural forms with parametric boundary-matching operators for solving ordinary differential equations
por: Kypriadis, Adam D., et al.
Publicado: (2024)

Boosting Statistic Learning with Synthetic Data from Pretrained Large Models
por: Jiang, Jialong, et al.
Publicado: (2025)

Univariate Radial Basis Function Layers: Brain-inspired Deep Neural Layers for Low-Dimensional Inputs
por: Jost, Daniel, et al.
Publicado: (2023)

Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models
por: Li, Muxing, et al.
Publicado: (2025)

Exploring the Impact of Dataset Statistical Effect Size on Model Performance and Data Sample Size Sufficiency
por: Hatamian, Arya, et al.
Publicado: (2025)

Uncertainty Quantification of Data Shapley via Statistical Inference
por: Wu, Mengmeng, et al.
Publicado: (2024)

ACT as Human: Multimodal Large Language Model Data Annotation with Critical Thinking
por: Lin, Lequan, et al.
Publicado: (2025)

U-Sketch: An Efficient Approach for Sketch to Image Diffusion Models
por: Mitsouras, Ilias, et al.
Publicado: (2024)