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Found 5 papers, 0 papers with code
Approximate Global Convergence of Independent Learning in Multi-Agent Systems
Independent learning (IL), despite being a popular approach in practice to achieve scalability in large-scale multi-agent systems, usually lacks global convergence guarantees.
Sparse-view CT Reconstruction with 3D Gaussian Volumetric Representation
Sparse-view CT is a promising strategy for reducing the radiation dose of traditional CT scans, but reconstructing high-quality images from incomplete and noisy data is challenging.
LoCo: Locally Constrained Training-Free Layout-to-Image Synthesis
We further propose a Padding Token Constraint (PTC) to leverage the semantic information embedded in previously neglected padding tokens, improving the consistency between object appearance and layout instructions.
Zeroth-Order Feedback-Based Optimization for Distributed Demand Response
Distributed demand response is a typical distributed optimization problem that requires coordination among multiple agents to satisfy demand response requirements.
DiffULD: Diffusive Universal Lesion Detection
But they are still ineffective for ULD due to the insufficient training targets.
