:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Eguchi, Shinto
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2512.23956
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Robust inference using density-powered Stein operators
by: Eguchi, Shinto
Published: (2025)

Statistical Inference via Generative Models: Flow Matching and Causal Inference
by: Eguchi, Shinto
Published: (2026)

A Generalized Mean Approach for Distributed-PCA
by: Jou, Zhi-Yu, et al.
Published: (2024)

The $ϕ$-PCA Framework: A Unified and Efficiency-Preserving Approach with Robust Variants
by: Hung, Hung, et al.
Published: (2025)

Information Geometry for Maximum Diversity Distributions
by: Eguchi, Shinto
Published: (2024)

Minimum Gamma Divergence for Regression and Classification Problems
by: Eguchi, Shinto
Published: (2024)

Stein's unbiased risk estimate and Hyvärinen's score matching
by: Ghosh, Sulagna, et al.
Published: (2025)

Implicit score matching meets denoising score matching: improved rates of convergence and log-density Hessian estimation
by: Yakovlev, Konstantin, et al.
Published: (2025)

On a class of binary regression models and their robust estimation
by: Hayashi, Kenichi, et al.
Published: (2025)

Minimum Copula Divergence for Robust Estimation
by: Eguchi, Shinto, et al.
Published: (2025)

Simulation-free Schrödinger bridges via score and flow matching
by: Tong, Alexander, et al.
Published: (2023)

Learning normalized image densities via dual score matching
by: Guth, Florentin, et al.
Published: (2025)

ELBOing Stein: Variational Bayes with Stein Mixture Inference
by: Rønning, Ola, et al.
Published: (2024)

Binomial flows: Denoising and flow matching for discrete ordinal data
by: Shenfeld, Yair, et al.
Published: (2026)

Implicit regularization of deep residual networks towards neural ODEs
by: Marion, Pierre, et al.
Published: (2023)

De novo molecular structure elucidation from mass spectra via flow matching
by: Mqawass, Ghaith, et al.
Published: (2026)

Stein-Encoder: A White-Box Supervised Encoder via Stein Identities in Multi-Modal Studies
by: Zhang, Jiarui, et al.
Published: (2026)

Copula-Stein Discrepancy: A Generator-Based Stein Operator for Archimedean Dependence
by: Aich, Agnideep, et al.
Published: (2025)

Stream-level flow matching with Gaussian processes
by: Wei, Ganchao, et al.
Published: (2024)

On the flow matching interpretability
by: Pivi, Francesco, et al.
Published: (2025)

Zero-Inflated Logistic Regression Models with Shared Design: Identifiability, Existence of Estimates, and a Relabeling Rule
by: Tomo, Yui, et al.
Published: (2026)

Accelerated training of deep learning surrogate models for surface displacement and flow, with application to MCMC-based history matching of CO2 storage operations
by: Han, Yifu, et al.
Published: (2024)

Sequential Kernelized Stein Discrepancy
by: Martinez-Taboada, Diego, et al.
Published: (2024)

Stein Random Feature Regression
by: Warren, Houston, et al.
Published: (2024)

Generating transition states of chemical reactions via distance-geometry-based flow matching
by: Luo, Yufei, et al.
Published: (2025)

TASTE: Task-Aware Out-of-Distribution Detection via Stein Operators
by: Kozyra, Michał, et al.
Published: (2026)

Accelerating Convergence of Stein Variational Gradient Descent via Deep Unfolding
by: Kawamura, Yuya, et al.
Published: (2024)

Improved motif-scaffolding with SE(3) flow matching
by: Yim, Jason, et al.
Published: (2024)

FreqFlow: Long-term forecasting using lightweight flow matching
by: Moghadas, Seyed Mohamad, et al.
Published: (2025)

FlexiFlow: decomposable flow matching for generation of flexible molecular ensemble
by: Tedoldi, Riccardo, et al.
Published: (2025)

Properties and limitations of geometric tempering for gradient flow dynamics
by: Crucinio, Francesca Romana, et al.
Published: (2026)

Stein Discrepancy for Unsupervised Domain Adaptation
by: von Seeger, Anneke, et al.
Published: (2025)

Gradient Estimation with Discrete Stein Operators
by: Shi, Jiaxin, et al.
Published: (2022)

Low Stein Discrepancy via Message-Passing Monte Carlo
by: Kirk, Nathan, et al.
Published: (2025)

Electron flow matching for generative reaction mechanism prediction obeying conservation laws
by: Joung, Joonyoung F., et al.
Published: (2025)

Time dependent loss reweighting for flow matching and diffusion models is theoretically justified
by: Billera, Lukas, et al.
Published: (2025)

Conditional flow matching for physics-constrained inverse problems with finite training data
by: Dasgupta, Agnimitra, et al.
Published: (2026)

Generative modeling of granular flow on inclined planes using conditional flow matching
by: Li, Xuyang, et al.
Published: (2026)

Constrained Stein Variational Trajectory Optimization
by: Power, Thomas, et al.
Published: (2023)

Controlling Moments with Kernel Stein Discrepancies
by: Kanagawa, Heishiro, et al.
Published: (2022)