Balancing Reconstruction and Detection in VAE Anomaly Detection
Discover methods to optimize the reconstruction-detection trade-off in VAE-based unsupervised anomaly detection for improved model performance.
PRISM-CTG: Advanced AI Model for Cardiotocography Analysis
Discover PRISM-CTG, a self-supervised AI model improving cardiotocography analysis with multi-view learning and clinical data integration.
Fixing Safety Failures in Agentic AI Guard Models
Explore vulnerabilities in agentic AI guard models and how Fisher-Weighted Safety Subspace Regularization restores safety and reliability.
VANGUARD: Advanced Video Anomaly Detection with Multimodal AI
Discover VANGUARD, a cutting-edge framework using multimodal large language models to improve video anomaly detection with precise reasoning and spatial gr...
Impact of Systematic Verification Errors on RLVR Performance
Explore how systematic verification errors affect Reinforcement Learning with Verifiable Rewards (RLVR) and model performance in real-world tasks.