Cover Image

Measurement-Aligned Sampling for Inverse Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Shaorong, Brekelmans, Rob, Wu, Yunshu, Steeg, Greg Ver
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Local MAP Sampling for Diffusion Models
by: Zhang, Shaorong, et al.
Published: (2025)

Generation Order and Parallel Decoding in Masked Diffusion Models: An Information-Theoretic Perspective
by: Zhang, Shaorong, et al.
Published: (2026)

Exploring the Design Space of Diffusion Bridge Models
by: Zhang, Shaorong, et al.
Published: (2024)

Discrete Stochastic Localization for Non-autoregressive Generation
by: Wu, Yunshu, et al.
Published: (2026)

Discrete Stochastic Localization for Non-autoregressive Generation
by: Wu, Yunshu, et al.
Published: (2026)

Annealed Importance Sampling with q-Paths
by: Brekelmans, Rob, et al.
Published: (2020)

Is Your Diffusion Sampler Actually Correct? A Sampler-Centric Evaluation of Discrete Diffusion Language Models
by: Tang, Luhan, et al.
Published: (2026)

Improving Mutual Information Estimation with Annealed and Energy-Based Bounds
by: Brekelmans, Rob, et al.
Published: (2023)

Your Diffusion Model is Secretly a Noise Classifier and Benefits from Contrastive Training
by: Wu, Yunshu, et al.
Published: (2024)

Spectral Regularization for Diffusion Models
by: Chandran, Satish, et al.
Published: (2026)

Making Sense Of Distributed Representations With Activation Spectroscopy
by: Reing, Kyle, et al.
Published: (2025)

DSL-LLaDA: Scaling Continuous Denoising to 8B Masked Diffusion LMs
by: Yu, Longxuan, et al.
Published: (2026)

Learning Morphisms with Gauss-Newton Approximation for Growing Networks
by: Lawton, Neal, et al.
Published: (2024)

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
by: Shahgir, Haz Sameen, et al.
Published: (2023)

MMG: Mutual Information Estimation via the MMSE Gap in Diffusion
by: Yu, Longxuan, et al.
Published: (2025)

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding
by: Achille, Alessandro, et al.
Published: (2024)

Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)

Interpretable Diffusion via Information Decomposition
by: Kong, Xianghao, et al.
Published: (2023)

FedDAPL: Toward Client-Private Generalization in Federated Learning
by: Loaliyan, Soroosh Safari, et al.
Published: (2025)

Prompt Perturbation Consistency Learning for Robust Language Models
by: Qiang, Yao, et al.
Published: (2024)

Knowledge Enhanced Multi-Domain Recommendations in an AI Assistant Application
by: Markowitz, Elan, et al.
Published: (2023)

QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion
by: Abir, Abrar Rahman, et al.
Published: (2025)

Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
by: Zhao, Stephen, et al.
Published: (2025)

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
by: Zhao, Stephen, et al.
Published: (2024)

Revise, Don't Freeze: Sampler-Matched Training for Self-Correcting Masked Diffusion Language Models
by: Yu, Longxuan, et al.
Published: (2026)

MACS: Measurement-Aware Consistency Sampling for Inverse Problems
by: Tanevardi, Amirreza, et al.
Published: (2025)

On the Sample Complexity of Learning for Blind Inverse Problems
by: Buskulic, Nathan, et al.
Published: (2025)

Enhancing Diffusion Posterior Sampling for Inverse Problems by Integrating Crafted Measurements
by: Zhou, Shijie, et al.
Published: (2024)

Portraits of Galapagos by Tui De Roy and Mark Jones [book review]
by: Ver Steeg, Gay
Published: (1991)

Galápagos: The Enchanted Isles by David Horwell [book review]
by: Ver Steeg, Gay
Published: ()

Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling
by: Du, Yuanqi, et al.
Published: (2024)

A Computational Framework for Solving Wasserstein Lagrangian Flows
by: Neklyudov, Kirill, et al.
Published: (2023)

Generalized Flow Matching for Transition Dynamics Modeling
by: Wang, Haibo, et al.
Published: (2024)

Outlier-robust Diffusion Posterior Sampling for Bayesian Inverse Problems
by: Yang, Yiming, et al.
Published: (2026)

Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models
by: Yu, Longxuan, et al.
Published: (2026)

Your Policy Regularizer is Secretly an Adversary
by: Brekelmans, Rob, et al.
Published: (2022)

Solving Diffusion Inverse Problems with Restart Posterior Sampling
by: Ahmed, Bilal, et al.
Published: (2025)

Decoupled Diffusion Sampling for Inverse Problems on Function Spaces
by: Lin, Thomas Y. L., et al.
Published: (2026)

Conditional Mutual Information Based Diffusion Posterior Sampling for Solving Inverse Problems
by: Hamidi, Shayan Mohajer, et al.
Published: (2025)