Co-occurring keywords · papers mentioning both
Papers
Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
AISTATS 2025
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models
UAI 2025
Riemann$^2$: Learning Riemannian Submanifolds from Riemannian Data
AISTATS 2025
Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
UAI 2025
Weighted Sum of Gaussian Process Latent Variable Models
AISTATS 2025
Preventing Model Collapse in Gaussian Process Latent Variable Models
ICML 2024
Learning GPLVM with arbitrary kernels using the unscented transformation
AISTATS 2021
Multi-view Learning as a Nonparametric Nonlinear Inter-Battery Factor Analysis
JMLR 2021
Feature-correlation-aware Gaussian Process Latent Variable Model
ACML 2018
Probabilistic Curve Learning: Coulomb Repulsion and the Electrostatic Gaussian Process
NeurIPS 2015
Similarity Gaussian Process Latent Variable Model for Multi-Modal Data Analysis
ICCV 2015
Kernel Topic Models
AISTATS 2012
Variational Gaussian Process Dynamical Systems
NeurIPS 2011
Bayesian Gaussian Process Latent Variable Model
AISTATS 2010