arXiv Machine Learning September 1, 2026 By Rui Wu, Zongyuan Chen, Hong Xie, Defu Lian, Enhong Chen

Learning Generated Controls under Fractured Geometry: Projective Residualization and Variation-Allocation Frontiers

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arXiv Machine Learning

Jul 30

Projective Graph Residualization: Variation-Allocation Frontiers for Control-Function IV

arXiv:2606. 14636v2 Announce Type: replace Abstract: Control-function instrumental-variable estimators pass an estimated first-stage residual to an outcome model.

By Rui Wu, Zongyuan Chen, Hong Xie, Defu Lian, Enhong Chen

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arXiv Machine Learning

Jun 15

Graph Diffusion Residuals for Control-Function Instrumental Variables

arXiv:2606. 14636v1 Announce Type: new Abstract: Control-function instrumental variable estimators need a first-stage residual, not merely a first-stage prediction.

By Rui Wu, Zongyuan Chen, Hong Xie, Defu Lian, Enhong Chen

diffusion benchmarks

arXiv Machine Learning

Jul 14

A Control Theory of Predictability in Latent World Models

arXiv:2607. 10362v1 Announce Type: new Abstract: Latent world models are trained to predict future states in a learned representation and are then deployed inside a planner that selects actions by simulating them forward.

By Hanzhe You, Yonggang Zhang, Maohao Ran, Zhiqin Yang, Zhenyuan Zhang, Wei Xue, Jun Song, Xinmei Tian, Yike Guo

arXiv Machine Learning

Jul 27

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations

arXiv:2607. 21644v1 Announce Type: new Abstract: We present a goal-agnostic control framework for partial differential equations (PDEs) built around a joint-embedding predictive architecture (JEPA).

By Jonathan Gallagher, Roberto Guglielmi

rag diffusion benchmarks

arXiv Machine Learning

Jun 2

Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision

arXiv:2606. 01397v1 Announce Type: cross Abstract: A fixed-wing UAV must hold airspeed, altitude, and heading references under wind, gusts, and turbulence, channels coupled so that correcting one can degrade another.

By Mehmet Iscan, Batuhan Temiz

reinforcement-learning benchmarks

arXiv AI

Jul 15

Learning to Discretize: Diffusion-Based Adaptive Mesh with Spectral Guidance

arXiv:2607. 11974v1 Announce Type: cross Abstract: Most neural partial differential equation (PDE) surrogates learn how fields evolve after a grid has already been chosen.

By Zixuan Shen (Central South University), Bingchuan Wang (Central South University), Zhi Wang (Nanjing University), Yong Wang (Central South University)

diffusion

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Projective Graph Residualization: Variation-Allocation Frontiers for Control-Function IV

Graph Diffusion Residuals for Control-Function Instrumental Variables

A Control Theory of Predictability in Latent World Models

Toward Goal-Agnostic Joint-Embedding Predictive Control of Partial Differential Equations

Autopilot-Preserving Residual Q-Learning with HJB-Inspired Finite-Action Risk Filtering for Fixed-Wing UAV Command Supervision

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