GPARA: Graph-Posterior-Aligned Refinement and Active Acquisition for Grounding Diffusion Priors
cs.LG
Submitted: 2026-09-28
Updated: 2026-09-28
Terminology
Sources
- Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography
- Generative Spectrum Cartography: Unified Reconstruction and Active Sensing via Diffusion Models
- Dataset of Pathloss and ToA Radio Maps With Localization Application
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks