:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xu, Jian, Chen, Wei, Li, Shigui, Li, Chao, Zheng, Jingyuan, Zeng, Delu, Paisley, John, Zhao, Qibin
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2605.03573
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Diffusion Bridge Variational Inference for Deep Gaussian Processes
by: Xu, Jian, et al.
Published: (2025)

Diffusion Secant Alignment for Score-Based Density Ratio Estimation
by: Chen, Wei, et al.
Published: (2025)

AQKA: Active Quantum Kernel Acquisition Under a Shot Budget
by: Xu, Jian, et al.
Published: (2026)

Entropy-Informed Weighting Channel Normalizing Flow for Deep Generative Models
by: Chen, Wei, et al.
Published: (2024)

Onsager-Machlup Posterior Transport for Deep Gaussian Processes
by: Xu, Jian, et al.
Published: (2026)

Dequantified Diffusion-Schr{ö}dinger Bridge for Density Ratio Estimation
by: Chen, Wei, et al.
Published: (2025)

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling
by: Xu, Jian, et al.
Published: (2024)

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference
by: Xu, Jian, et al.
Published: (2024)

Neural Bridge Processes
by: Xu, Jian, et al.
Published: (2025)

One-Step Score-Based Density Ratio Estimation
by: Chen, Wei, et al.
Published: (2026)

Sparse Variational Student-t Processes for Heavy-tailed Modeling
by: Xu, Jian, et al.
Published: (2024)

Spectral Anatomy of Quantum Gaussian Process Kernels
by: Xu, Jian, et al.
Published: (2026)

Consist-Retinex: One-Step Noise-Emphasized Consistency Training Accelerates High-Quality Retinex Enhancement
by: Xu, Jian, et al.
Published: (2025)

EVODiff: Entropy-aware Variance Optimized Diffusion Inference
by: Li, Shigui, et al.
Published: (2025)

A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation
by: Chen, Wei, et al.
Published: (2026)

Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations
by: Xu, Jian, et al.
Published: (2024)

Variational Learning of Gaussian Process Latent Variable Models through Stochastic Gradient Annealed Importance Sampling
by: Xu, Jian, et al.
Published: (2024)

Towards Disentangled Preference Optimization Dynamics: Suppress the Loser, Preserve the Winner
by: Chen, Wei, et al.
Published: (2026)

Bayesian Gaussian Process ODEs via Double Normalizing Flows
by: Xu, Jian, et al.
Published: (2023)

Sparse Variational Student-t Processes
by: Xu, Jian, et al.
Published: (2023)

Stochastic Variational Inference with Tuneable Stochastic Annealing
by: Paisley, John, et al.
Published: (2025)

Tabular Diffusion Counterfactual Explanations
by: Zhang, Wei, et al.
Published: (2025)

Gaussian Process Neural Additive Models
by: Zhang, Wei, et al.
Published: (2024)

On the Approximation Complexity of Matrix Product Operator Born Machines
by: Li, Chao, et al.
Published: (2026)

SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective
by: Zheng, Yu-Bang, et al.
Published: (2023)

Neural Operator Variational Inference based on Regularized Stein Discrepancy for Deep Gaussian Processes
by: Xu, Jian, et al.
Published: (2023)

Gaussian Process Tilted Nonparametric Density Estimation using Fisher Divergence Score Matching
by: Paisley, John, et al.
Published: (2025)

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
by: Zeng, Junhua, et al.
Published: (2024)

An Explainable Gaussian Process Auto-encoder for Tabular Data
by: Zhang, Wei, et al.
Published: (2025)

Fast Ensembling with Diffusion Schrödinger Bridge
by: Kim, Hyunsu, et al.
Published: (2024)

Quantum Generative Diffusion Model: A Fully Quantum-Mechanical Model for Generating Quantum State Ensemble
by: Chen, Chuangtao, et al.
Published: (2024)

Variational Schrödinger Diffusion Models
by: Deng, Wei, et al.
Published: (2024)

Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction
by: Yuan, Longhao, et al.
Published: (2019)

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis
by: Chen, Zehua, et al.
Published: (2023)

Scaling Capability in Token Space: An Analysis of Large Vision Language Model
by: Li, Tenghui, et al.
Published: (2024)

GTG: Generalizable Trajectory Generation Model for Urban Mobility
by: Wang, Jingyuan, et al.
Published: (2025)

Dual-Directed Algorithm Design for Efficient Pure Exploration
by: Qin, Chao, et al.
Published: (2023)

Feynman-Kac Operator Expectation Estimator
by: Li, Jingyuan, et al.
Published: (2024)

Domain-Aware Tensor Network Structure Search
by: Iacovides, Giorgos, et al.
Published: (2025)

QuProFS: An Evolutionary Training-free Approach to Efficient Quantum Feature Map Search
by: Gujju, Yaswitha, et al.
Published: (2025)