Rewiring Sparsifies Efficient GNNs
Explores adaptive rewiring and sparsification for scalable GNNs using Erdős-Rényi models. Tested on power grid N-1 analysis with GCN/GIN. Balances sparsity for generalization via tuning and early stopping.
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Tag: #v1120 results
RealHD Dataset Detects AI Fake Images
RealHD offers 730k high-quality real and AI-generated images from advanced methods like text-to-image and inpainting. Addresses prior dataset flaws with diverse prompts, metadata, and masks. Includes lightweight noise entropy detection baseline with strong generalization.
Quantum ICO Merges Sensing and Computation
Proposes quantum scheme using indefinite causal order (ICO) for integrated sensing and computation on one state. Agent superposes observation-then-compute and compute-then-observation orders. Achieves low losses in magnetic navigation tasks.
Quadrupeds Cooperate for Super Jumps
Co-jump enables two quadrupeds to synchronize jumps up to 1.5m via MAPPO and curriculum, without communication. Achieves 144% height gain over solo robots using proprioception. Transfers from sim to hardware.
μpscaling Optimizes Model Warm Starts
Proposes principled upscaling for model widths inspired by μP, with theory guaranteeing equivalence to widened versions. Extends μTransfer for hyperparameter scaling, avoiding costly retuning at larger sizes. Applicable to diverse architectures and optimizers with infinite-width analysis.
ProtoGLAD Enables Interpretable Graph Anomalies
ProtoGLAD detects graph-level anomalies by contrasting with nearest normal prototype graphs discovered via point-set kernels. It iteratively clusters normal graphs for unsupervised detection. Provides human-interpretable explanations outperforming black-box methods.
Privacy Shield for Mobile GUI Agents
Framework anonymizes sensitive UI data with type-preserving placeholders for cloud-based GUI agents. Detects PII across screenshots, XML, and instructions via layered architecture. Achieves top privacy-utility trade-off on benchmarks.
Privacy-Aware XR Collaboration Framework
PRISM-XR integrates multimodal LLMs for XR collaboration while filtering sensitive data from XR headset frames on edge servers. It features lightweight registration and customizable content-sharing for efficient synchronization. Evaluations show 90% accuracy in user requests and strong privacy protection.
Policy-Car Swerving Absorbs Traffic Jams
Proposes SVDD-JAD strategy mimicking police swerving to suppress stop-and-go waves via slow-in/fast-out maneuvers. Analyzes five key parameters measurable with roadside detectors. SUMO simulations confirm no secondary waves triggered.
PiT-PO Boosts Equation Discovery with RL
PiT-PO uses reinforcement learning to evolve LLMs for symbolic regression, enforcing physical validity and parsimony. It treats LLMs as adaptive generators updated by search feedback. Achieves SOTA on benchmarks and discovers novel turbulence models.