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Found 7 papers, 3 papers with code
Détection d’anomalies textuelles à base de l’ingénierie d’invite (Prompt Engineering-Based Text Anomaly Detection )
La détection d’anomalies textuelles est une tâche importante de la fouille de textes.
Decentralizing Coherent Joint Transmission Precoding via Fast ADMM with Deterministic Equivalents
Simulation results demonstrate the effectiveness of our proposed decentralized precoding scheme, which achieves performance similar to the optimal centralized precoding scheme.
Decentralizing Coherent Joint Transmission Precoding via Deterministic Equivalents
In order to control the inter-cell interference for a multi-cell multi-user multiple-input multiple-output network, we consider the precoder design for coordinated multi-point with downlink coherent joint transmission.
When Does Feature Learning Happen? Perspective from an Analytically Solvable Model
We identify and solve a hidden-layer model that is analytically tractable at any finite width and whose limits exhibit both the kernel phase and the feature learning phase.
Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
To tackle this challenge, a surge of research in scenario-based autonomous driving has emerged, with a focus on generating high-risk driving scenarios and applying them to conduct safety-critical testing of AV models.
(Re)$^2$H2O: Autonomous Driving Scenario Generation via Reversely Regularized Hybrid Offline-and-Online Reinforcement Learning
Autonomous driving and its widespread adoption have long held tremendous promise.
Approximate Message Passing for Multi-Layer Estimation in Rotationally Invariant Models
We consider the problem of reconstructing the signal and the hidden variables from observations coming from a multi-layer network with rotationally invariant weight matrices.
