Cover Image

Approximation of High-Dimensional Gibbs Distributions with Functional Hierarchical Tensors

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sheng, Nan, Tang, Xun, Chen, Haoxuan, Ying, Lexing
Format:	Preprint
Published:	2025
Subjects:	Numerical Analysis Computational Physics Data Analysis, Statistics and Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

In search of rogue waves: a novel proposal distribution for parallelized rejection sampling of the truncated KdV Gibbs measure
by: Moore, Nicholas J., et al.
Published: (2024)

Second Order Meanfield Approximation for calculating Dynamics in Au-Nanoparticle Networks
by: Wonisch, Evan, et al.
Published: (2024)

Sketch Tomography: Hybridizing Classical Shadow and Matrix Product State
by: Tang, Xun, et al.
Published: (2025)

Proposal for the Application of Fractional Operators in Polynomial Regression Models to Enhance the Determination Coefficient $R^2$ on Unseen Data
by: Torres-Hernandez, Anthony
Published: (2025)

On a spherically lifted spin model at finite temperature
by: Tang, Xun, et al.
Published: (2025)

A surrogate-based approach to accelerate the design and build phases of reinforced concrete bridges
by: Achhab, Mouhammed, et al.
Published: (2025)

Accelerating the Serviceability-Based Design of Reinforced Concrete Rail Bridges under Geometric Uncertainties induced by unforeseen events: A Surrogate Modeling approach
by: Achhab, Mouhammed, et al.
Published: (2025)

Control of probability flow in Markov chain Monte Carlo -- Nonreversibility and lifting
by: Suwa, Hidemaro, et al.
Published: (2012)

Hybrid Weight Window Techniques for Time-Dependent Monte Carlo Neutronics
by: Shaw, Caleb S., et al.
Published: (2025)

Fast and accurate noise removal by curve fitting using orthogonal polynomials
by: Rosso, Andrea Gallo
Published: (2026)

Homomorphic data compression for real time photon correlation analysis
by: Strempfer, Sebastian, et al.
Published: (2024)

Contributions to Robust and Efficient Methods for Analysis of High Dimensional Data
by: Yang, Kai
Published: (2025)

Quantifying uncertainty in inverse scattering problems set in layered environments
by: Abugattas, Carolina, et al.
Published: (2025)

Modelling parametric uncertainty in PDEs models via Physics-Informed Neural Networks
by: Panahi, Milad, et al.
Published: (2024)

Quantifying uncertainty in the numerical integration of evolution equations based on Bayesian isotonic regression
by: Miyatake, Yuto, et al.
Published: (2024)

Koopman neural operator as a mesh-free solver of non-linear partial differential equations
by: Xiong, Wei, et al.
Published: (2023)

Optimal Low-Depth Quantum Signal-Processing Phase Estimation
by: Dong, Yulong, et al.
Published: (2024)

Permutation of Tensor-Train Cores for Computing Moments on Stochastic Differential Equations
by: Kinjo, Kayo, et al.
Published: (2025)

Multimodal Sampling via Approximate Symmetries
by: Ying, Lexing
Published: (2023)

Seeing the World through an Antenna's Eye: Reception Quality Visualization Using Incomplete Technical Signal Information
by: Bergerhoff, Leif
Published: (2024)

Variational system identification of the partial differential equations governing microstructure evolution in materials: Inference over sparse and spatially unrelated data
by: Wang, Z., et al.
Published: (2020)

Dynamic mode decomposition as an analysis tool for time-dependent partial differential equations
by: Rot, Miha, et al.
Published: (2022)

Model discovery on the fly using continuous data assimilation
by: Newey, Joshua, et al.
Published: (2024)

Dimensional homogeneity constrained gene expression programming for discovering governing equations
by: Ma, Wenjun, et al.
Published: (2022)

`pandemonium`: High Dimensional Analysis in Linked Spaces
by: McCoy, Gabriel, et al.
Published: (2026)

Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor
by: Tang, Xun, et al.
Published: (2024)

Human-aligned Quantification of Numerical Data
by: Kolonin, Anton
Published: (2025)

The conditional-mean barrier: From deterministic regression to conditional distribution learning
by: Chen, Junfeng
Published: (2026)

Blind free deconvolution over one-parameter sparse families via eigenmatrix
by: Ying, Lexing
Published: (2025)

Sparse free deconvolution under unknown noise level via eigenmatrix
by: Ying, Lexing
Published: (2025)

Inverse Uncertainty Quantification by Hierarchical Bayesian Modeling and Application in Nuclear System Thermal-Hydraulics Codes
by: Wang, Chen, et al.
Published: (2023)

Iterative variational learning of committor-consistent transition pathways using artificial neural networks
by: Megías, Alberto, et al.
Published: (2024)

From Atoms to Dynamics: Learning the Committor Without Collective Variables
by: Arredondo, Sergio Contreras, et al.
Published: (2025)

Shifted Composition IV: Toward Ballistic Acceleration for Log-Concave Sampling
by: Altschuler, Jason M., et al.
Published: (2025)

GD-VAEs: Geometric Dynamic Variational Autoencoders for Learning Nonlinear Dynamics and Dimension Reductions
by: Lopez, Ryan, et al.
Published: (2022)

Tensor-Based Binary Graph Encoding for Variational Quantum Classifiers
by: An, Shiwen, et al.
Published: (2025)

Structural Optimization in Tensor LEED Using a Parameter Tree and $R$-Factor Gradients
by: Imre, Alexander M., et al.
Published: (2025)

Efficient Approximation of Molecular Kinetics using Random Fourier Features
by: Nüske, Feliks, et al.
Published: (2023)

Mitigating Deadtime in Distributed Optical Arrays: A Liveness-Aware Trigger Approach for High-Energy Neutrino Detection
by: Yawisit, Thammarat, et al.
Published: (2026)

Functional Information in Quantum Darwinism: An Operational Measure of Objectivity
by: Tank, Arda Batin
Published: (2025)