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Robust Multi-view Clustering against Imperfect Information
arXiv:2606.04343v1 Announce Type: new Abstract: Real-world multi-view data always suffer from imperfect information problem, where the view-specific observations are absent (i.e., Incomplete Views, IV) and cross-view correspondences are mismatched (i.e., Noisy Correspondences, NC) for certain instances. As a remedy, numerous IV- and NC-oriented multi-view clustering (MvC) methods have been proposed, which however require either reliable correspondences or sufficiently complete instances,...
On Median of Incomplete U-Statistics
Statistics > Machine Learning [Submitted on 30 May 2026] Title:On Median of Incomplete U-Statistics View PDF HTML (experimental)Abstract:We establish the finite-sample concentration rate for the Median-of-Incomplete-U-Statistics (MIU), an efficient robust estimator for the expectation of symmetric kernels. Current browse context: stat.
Shared Latent Structures Enable Unified Backdoor Detection and Mitigation in LLMs
arXiv:2606.07963v1 Announce Type: new Abstract: Backdoor attacks in large language models (LLMs) are often treated as isolated trigger-response failures, motivating defenses tailored to specific triggers or behaviors. We show this view is incomplete.
DGSG-Mind: Dynamic 3D Gaussian Scene Graphs for Long-Term Scene Understanding and Grounding
Announce Type: replace Abstract: Integrating open-vocabulary semantic information into dynamic 3D scene representations is essential for long-term embodied scene understanding. However, existing methods often suffer from fragile instance association due to incomplete cross-view cues, while their limited ability to handle object-level topological changes restricts long-term robotic task execution. Moreover, current 3D scene understanding methods either rely on simple feature matching without...
Out-of-plane ice bridges reveal new way to suppress frost spreading
Out-of-plane ice bridges reveal new way to suppress frost spreading Sadie Harley Scientific Editor Robert Egan Associate Editor A research team led by Professor Nenad Miljkovic in The Grainger College of Engineering at the University of Illinois Urbana-Champaign has published a breakthrough study in Nature Physics. The work reports the first experimental discovery of a previously unknown frost propagation mechanism—a "suspended ice bridge"—offering new pathways for anti-frosting surface...
Effective Multi-sensor Conditioning for Street-view Novel-view Synthesis
arXiv:2606.01590v1 Announce Type: new Abstract: Modern vehicle platforms are equipped with a rich sensor suite, including LiDAR, calibrated multi-camera rigs, and accurate ego-motion, that in principle offers strong signal for re-rendering a driving scene from novel viewpoints. A growing line of recent work leverages video diffusion models for this task, using their generative priors to synthesize plausible novel views from sparse vehicle observations. In practice, however, existing methods...
Hashprice modulates the electricity demand response of Bitcoin miners
arXiv:2606.00587v1 Announce Type: cross Abstract: Large, fast-controllable loads such as Bitcoin mining facilities are increasingly viewed as potential sources of flexibility in modern power systems, yet the conditions under which this flexibility is realized remain incompletely understood. Using the Texas power market as an empirical setting, we examine how Bitcoin-mining load responds to two distinct electricity-sector cost channels: contemporaneous wholesale electricity prices and...
The Harsh Truth: Segment-Level Analysis of Harsh Driving Events in Milan Using Large-Scale Telematics, Street Networks, and Google Street View
arXiv:2606.00261v1 Announce Type: cross Abstract: Police-reported crash statistics remain the standard input for urban road-safety assessment, but their incompleteness and reporting lag limit their usefulness for timely, fine-grained intervention design. Harsh acceleration and braking events are widely used as surrogate safety indicators, but have so far been studied only in comparatively small urban samples. This study analyses harsh events across the urban road network of Milan, combining...
Seeing Isn't Knowing: Do VLMs Know When Not to Answer Spatial Questions (and Why)?
arXiv:2605.30557v1 Announce Type: new Abstract: Spatial reasoning is a fundamental capability for vision-language models (VLMs) deployed in real-world environments. However, visual observations are inherently limited representations of a 3D world: occlusion can render objects invisible, and perspective can make geometric properties misleading. Despite this, existing spatial reasoning benchmarks typically assume that observations are sufficient and reliable, focusing on whether models produce...
Handoff Debt: The Rediscovery Cost When Coding Agents Take Over Interrupted Tasks
Announce Type: new Abstract: Coding-agent benchmarks evaluate whether a single uninterrupted agent can resolve a repository issue. Real software work is messier: tasks are interrupted, reassigned, reviewed, and resumed from partial states left by another agent or engineer. We study this missing dimension through \emph{handoff debt}: the rediscovery cost imposed when a predecessor's work is opaque or incomplete.