Cover Image

Latent Target Score Matching, with an application to Simulation-Based Inference

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ko, Joohwan, Geffner, Tomas
Format:	Preprint
Published:	2026
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Amortized Factor Inference Networks for Posterior Inference
by: Ko, Joohwan, et al.
Published: (2026)

Model-Informed Flows for Bayesian Inference
by: Ko, Joohwan, et al.
Published: (2025)

Modeling Choice via Self-Attention
by: Ko, Joohwan, et al.
Published: (2023)

Learning Straight Flows by Learning Curved Interpolants
by: Shankar, Shiv, et al.
Published: (2025)

Provably Scalable Black-Box Variational Inference with Structured Variational Families
by: Ko, Joohwan, et al.
Published: (2024)

Target Score Matching
by: De Bortoli, Valentin, et al.
Published: (2024)

Simulation-based Inference via Langevin Dynamics with Score Matching
by: Jiang, Haoyu, et al.
Published: (2025)

Joint control variate for faster black-box variational inference
by: Wang, Xi, et al.
Published: (2022)

La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
by: Geffner, Tomas, et al.
Published: (2025)

Simulating Diffusion Bridges with Score Matching
by: Heng, Jeremy, et al.
Published: (2021)

Layer-Adaptive State Pruning for Deep State Space Models
by: Gwak, Minseon, et al.
Published: (2024)

Demystifying SGD with Doubly Stochastic Gradients
by: Kim, Kyurae, et al.
Published: (2024)

Neural Score Matching for High-Dimensional Causal Inference
by: Clivio, Oscar, et al.
Published: (2022)

Latent Nonlinear Denoising Score Matching for Enhanced Learning of Structured Distributions
by: Shen, Kaichen, et al.
Published: (2025)

DiLaDiff: Distilled Latent-Augmented Diffusion for Language Modeling
by: Lemercier, Jean-Marie, et al.
Published: (2026)

Tokenised Flow Matching for Hierarchical Simulation Based Inference
by: Charles, Giovanni, et al.
Published: (2026)

Flow Matching for Robust Simulation-Based Inference under Model Misspecification
by: Ruhlmann, Pierre-Louis, et al.
Published: (2025)

Relaxed Sequence Sampling for Diverse Protein Design
by: Ko, Joohwan, et al.
Published: (2025)

Flow Matching for Posterior Inference with Simulator Feedback
by: Holzschuh, Benjamin, et al.
Published: (2024)

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

Pawsterior: Variational Flow Matching for Structured Simulation-Based Inference
by: Carrasco-Pollo, Jorge, et al.
Published: (2026)

Stochastic Flow Matching for Resolving Small-Scale Physics
by: Fotiadis, Stathi, et al.
Published: (2024)

Learning Generalized Policies for Fully Observable Non-Deterministic Planning Domains
by: Hofmann, Till, et al.
Published: (2024)

High-Dimensional Differential Parameter Inference in Exponential Family using Time Score Matching
by: Williams, Daniel J., et al.
Published: (2024)

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations
by: Bartosh, Grigory, et al.
Published: (2025)

Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
by: Cao, Zhonglin, et al.
Published: (2025)

Efficient Latent Variable Causal Discovery: Combining Score Search and Targeted Testing
by: Ramsey, Joseph, et al.
Published: (2025)

Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization
by: Gu, Siyi, et al.
Published: (2024)

Enhancing Topological Dependencies in Spatio-Temporal Graphs with Cycle Message Passing Blocks
by: Lee, Minho, et al.
Published: (2024)

Sequential Neural Score Estimation: Likelihood-Free Inference with Conditional Score Based Diffusion Models
by: Sharrock, Louis, et al.
Published: (2022)

Score Matching With Missing Data
by: Givens, Josh, et al.
Published: (2025)

Rao-Blackwellized Score Matching on Manifolds
by: Rawal, Divit
Published: (2026)

Towards Healing the Blindness of Score Matching
by: Zhang, Mingtian, et al.
Published: (2022)

Hamiltonian Score Matching and Generative Flows
by: Holderrieth, Peter, et al.
Published: (2024)

Hyperparameters in Score-Based Membership Inference Attacks
by: Pradhan, Gauri, et al.
Published: (2025)

Energy-Based Diffusion Language Models for Text Generation
by: Xu, Minkai, et al.
Published: (2024)

Learning General Policies with Policy Gradient Methods
by: Ståhlberg, Simon, et al.
Published: (2025)

Learning More Expressive General Policies for Classical Planning Domains
by: Ståhlberg, Simon, et al.
Published: (2024)

Variational Inference with Coverage Guarantees in Simulation-Based Inference
by: Patel, Yash, et al.
Published: (2023)

Control Variate Score Matching for Diffusion Models
by: Kahouli, Khaled, et al.
Published: (2025)