Imagen de Portada

Sampling from Energy distributions with Target Concrete Score Identity

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Kholkin, Sergei, Vargas, Francisco, Korotin, Alexander
Formato:	Preprint
Publicado:	2025
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Light and Optimal Schrödinger Bridge Matching
por: Gushchin, Nikita, et al.
Publicado: (2024)

InfoBridge: Mutual Information estimation via Bridge Matching
por: Kholkin, Sergei, et al.
Publicado: (2025)

Discrete Bridges for Mutual Information Estimation
por: Zabarianska, Iryna, et al.
Publicado: (2026)

Adversarial Schrödinger Bridge Matching
por: Gushchin, Nikita, et al.
Publicado: (2024)

TUBE: Tangent Upper Bound on Evidence for Discrete Diffusion Language Models
por: Ivanov, Arseny, et al.
Publicado: (2026)

Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
por: Kholkin, Sergei, et al.
Publicado: (2024)

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
por: Zhang, Ruixiang, et al.
Publicado: (2025)

On the Equivalence of Optimal Transport Problem and Action Matching with Optimal Vector Fields
por: Kornilov, Nikita, et al.
Publicado: (2025)

On the Inverse Flow Matching Problem in the One-Dimensional and Gaussian Cases
por: Korotin, Alexander, et al.
Publicado: (2025)

Categorical Schrödinger Bridge Matching
por: Ksenofontov, Grigoriy, et al.
Publicado: (2025)

Overclocking Electrostatic Generative Models
por: Shlenskii, Daniil, et al.
Publicado: (2025)

Energy-guided Entropic Neural Optimal Transport
por: Mokrov, Petr, et al.
Publicado: (2023)

Exponential convergence rate for Iterative Markovian Fitting
por: Sokolov, Kirill, et al.
Publicado: (2025)

Light Schrödinger Bridge
por: Korotin, Alexander, et al.
Publicado: (2023)

EnvBench: A Benchmark for Automated Environment Setup
por: Eliseeva, Aleksandra, et al.
Publicado: (2025)

Optimal Flow Matching: Learning Straight Trajectories in Just One Step
por: Kornilov, Nikita, et al.
Publicado: (2024)

Unlocking the Duality between Flow and Field Matching
por: Shlenskii, Daniil, et al.
Publicado: (2026)

Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss
por: Korotin, Alexander, et al.
Publicado: (2025)

Mixability of Integral Losses: a Key to Efficient Online Aggregation of Functional and Probabilistic Forecasts
por: Korotin, Alexander, et al.
Publicado: (2019)

Energy-Guided Continuous Entropic Barycenter Estimation for General Costs
por: Kolesov, Alexander, et al.
Publicado: (2023)

Electric Currents for Discrete Data Generation
por: Kolesov, Alexander, et al.
Publicado: (2025)

Variance-Reduced Diffusion Sampling via Target Score Identity
por: Duston, Alois, et al.
Publicado: (2026)

Light Unbalanced Optimal Transport
por: Gazdieva, Milena, et al.
Publicado: (2023)

Energy-Tweedie: Score meets Score, Energy meets Energy
por: Leban, Andrej
Publicado: (2025)

Distillation of Large Language Models via Concrete Score Matching
por: Kim, Yeongmin, et al.
Publicado: (2025)

Risk-Averse Reinforcement Learning with Itakura-Saito Loss
por: Udovichenko, Igor, et al.
Publicado: (2025)

Time-Correlated Video Bridge Matching
por: Vasilev, Viacheslav, et al.
Publicado: (2025)

Neural Optimal Transport with General Cost Functionals
por: Asadulaev, Arip, et al.
Publicado: (2022)

Target Score Matching
por: De Bortoli, Valentin, et al.
Publicado: (2024)

Diffusion Models with Heavy-Tailed Targets: Score Estimation and Sampling Guarantees
por: Yu, Yifeng, et al.
Publicado: (2026)

Midpoint Generative Models
por: Shlenskii, Daniil, et al.
Publicado: (2026)

Uncovering Challenges of Solving the Continuous Gromov-Wasserstein Problem
por: Carrasco, Xavier Aramayo, et al.
Publicado: (2023)

Potential Score Matching: Debiasing Molecular Structure Sampling with Potential Energy Guidance
por: Guo, Liya, et al.
Publicado: (2025)

Estimating Barycenters of Distributions with Neural Optimal Transport
por: Kolesov, Alexander, et al.
Publicado: (2024)

Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
por: Carrasco, Xavier Aramayo, et al.
Publicado: (2025)

Variational Entropic Optimal Transport
por: Dyachenko, Roman, et al.
Publicado: (2026)

Rethinking Optimal Transport in Offline Reinforcement Learning
por: Asadulaev, Arip, et al.
Publicado: (2024)

A Statistical Learning Perspective on Semi-dual Adversarial Neural Optimal Transport Solvers
por: Tarasov, Roman, et al.
Publicado: (2025)

Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
por: Persiianov, Mikhail, et al.
Publicado: (2025)

Robust Barycenter Estimation using Semi-Unbalanced Neural Optimal Transport
por: Gazdieva, Milena, et al.
Publicado: (2024)