CoDi decomposes the multi-agent diffusion score into pre-trained single-agent policies plus a gradient-free cost guidance term to generate coordinated behavior from single-agent data alone.
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4 Pith papers cite this work. Polarity classification is still indexing.
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2026 4verdicts
UNVERDICTED 4representative citing papers
Fluid antenna systems in over-the-air federated learning achieve lower aggregation error outage probability and higher user participation than fixed-antenna baselines by dynamically selecting positions and modeling spatial correlation with the Clayton copula.
Gumbel-copula modeling yields closed-form CDFs for MSE in fluid-antenna AirComp, with numerical results showing MSE reduction versus fixed antennas that shrinks as spatial correlation increases.
Synthetic flight data generated by TVAE and Gaussian Copula models supports flight delay prediction models with accuracy comparable to real data.
citing papers explorer
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Coordinated Diffusion: Generating Multi-Agent Behavior Without Multi-Agent Demonstrations
CoDi decomposes the multi-agent diffusion score into pre-trained single-agent policies plus a gradient-free cost guidance term to generate coordinated behavior from single-agent data alone.
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Performance Analysis of Fluid Antenna-Assisted Over-the-Air Federated Learning Under Spatially Correlated Fading
Fluid antenna systems in over-the-air federated learning achieve lower aggregation error outage probability and higher user participation than fixed-antenna baselines by dynamically selecting positions and modeling spatial correlation with the Clayton copula.
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Copula-Based Analysis of Fluid Antenna-Assisted Over-the-Air Computation
Gumbel-copula modeling yields closed-form CDFs for MSE in fluid-antenna AirComp, with numerical results showing MSE reduction versus fixed antennas that shrinks as spatial correlation increases.
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Synthetic Flight Data Generation Using Generative Models
Synthetic flight data generated by TVAE and Gaussian Copula models supports flight delay prediction models with accuracy comparable to real data.