Constrained latent state modeling: A unifying perspective on representation learning under competing constraints
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LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation
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Distilling Graph Geometry: Knowledge Gap from GNNs to MLPs
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The Role of Initialization in 3D Gaussian Splatting
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Deep Learning-Based Tri-Hybrid Multi-User MIMO Precoding: The Blessing of EM-Reconfigurable Antennas
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Toward Realistic Remote Sensing Dataset Distillation with Discriminative Prototype-guided Diffusion
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HE-OFT: Privacy-Preserving One-Shot Federated Fine-Tuning under Homomorphic Encryption
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A Lightweight Vision-Language Fusion Framework for Predicting App Ratings from User Interfaces and Metadata
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Autonomous Droplet Navigation via Model-Based Reinforcement Learning: Zero-Shot Transfer and Emergent Dynamics
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Tri-Prompting: Video Diffusion with Unified Control over Scene, Subject, and Motion
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Geometry-Aware Diffusion Approximate Posterior Sampling for Sparse-View and Limited-Angle CT
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A Variational Latent-Space Framework for Uncertainty-Aware Spectral Image Emulation
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