Picture for Michael Minyi Zhang

Michael Minyi Zhang

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation

Add code
Mar 11, 2025
Figure 1 for A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Figure 2 for A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Figure 3 for A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Figure 4 for A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
Viaarxiv icon

Multi-View Oriented GPLVM: Expressiveness and Efficiency

Add code
Feb 12, 2025
Figure 1 for Multi-View Oriented GPLVM: Expressiveness and Efficiency
Figure 2 for Multi-View Oriented GPLVM: Expressiveness and Efficiency
Figure 3 for Multi-View Oriented GPLVM: Expressiveness and Efficiency
Figure 4 for Multi-View Oriented GPLVM: Expressiveness and Efficiency
Viaarxiv icon

Scalable Random Feature Latent Variable Models

Add code
Oct 23, 2024
Figure 1 for Scalable Random Feature Latent Variable Models
Figure 2 for Scalable Random Feature Latent Variable Models
Figure 3 for Scalable Random Feature Latent Variable Models
Figure 4 for Scalable Random Feature Latent Variable Models
Viaarxiv icon

Preventing Model Collapse in Gaussian Process Latent Variable Models

Add code
Apr 02, 2024
Viaarxiv icon

Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data

Add code
Nov 01, 2023
Figure 1 for Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Figure 2 for Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Figure 3 for Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Figure 4 for Online Student-$t$ Processes with an Overall-local Scale Structure for Modelling Non-stationary Data
Viaarxiv icon

A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy

Add code
Aug 27, 2023
Figure 1 for A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Figure 2 for A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Figure 3 for A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Figure 4 for A Bayesian Non-parametric Approach to Generative Models: Integrating Variational Autoencoder and Generative Adversarial Networks using Wasserstein and Maximum Mean Discrepancy
Viaarxiv icon

Bayesian Non-linear Latent Variable Modeling via Random Fourier Features

Add code
Jun 14, 2023
Figure 1 for Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Figure 2 for Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Figure 3 for Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Figure 4 for Bayesian Non-linear Latent Variable Modeling via Random Fourier Features
Viaarxiv icon

A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks

Add code
Mar 05, 2023
Figure 1 for A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks
Figure 2 for A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks
Figure 3 for A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks
Figure 4 for A Semi-Bayesian Nonparametric Hypothesis Test Using Maximum Mean Discrepancy with Applications in Generative Adversarial Networks
Viaarxiv icon

Sparse Infinite Random Feature Latent Variable Modeling

Add code
May 27, 2022
Figure 1 for Sparse Infinite Random Feature Latent Variable Modeling
Figure 2 for Sparse Infinite Random Feature Latent Variable Modeling
Figure 3 for Sparse Infinite Random Feature Latent Variable Modeling
Figure 4 for Sparse Infinite Random Feature Latent Variable Modeling
Viaarxiv icon

Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds

Add code
Oct 18, 2020
Figure 1 for Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Figure 2 for Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Figure 3 for Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Figure 4 for Accelerated Algorithms for Convex and Non-Convex Optimization on Manifolds
Viaarxiv icon