Neural surrogates enable a four-stage alternating algorithm for nonlocal mean-field Schrödinger bridges with linear scaling and Gronwall stability bounds.
IEEE Transactions on Intelligent Transportation Systems26(10), 14968–14983 (2025)
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MOSAIC combines frozen-LLM semantic embeddings with hierarchical consistency objectives to report up to 3.4% AUC gains on knowledge-tracing benchmarks including a new MOOC dataset.
citing papers explorer
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Nonlocal Mean Field Schr\"{o}dinger Bridge with Learned Interactions
Neural surrogates enable a four-stage alternating algorithm for nonlocal mean-field Schrödinger bridges with linear scaling and Gronwall stability bounds.
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MOSAIC: Orchestrating Collaborative Knowledge Tracing with Hierarchical Semantic Alignment
MOSAIC combines frozen-LLM semantic embeddings with hierarchical consistency objectives to report up to 3.4% AUC gains on knowledge-tracing benchmarks including a new MOOC dataset.