Global Optimization on Graph-Structured Data via Gaussian Processes with Spectral Representations
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Turnslide: Scalable Multi-Turn Data Synthesis by Walking a Finite-State Machine
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CroissantMiner: Automated Extraction and Validation of Croissant Metadata for ML Datasets
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Learning Granger Causality under Latent Confounding via Intervention-Induced Heterogeneity
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DeNoise: Learning Robust Graph Representations for Unsupervised Graph-Level Anomaly Detection
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JudgeMoE: Distributional Aggregation for LLM-as-a-Judge
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Mixed Data Clustering Survey and Challenges
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Learning to Curate What You Generate for Generalizable Few-Shot Class-Incremental Learning
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Towards Optimal Valve Prescription for Transcatheter Aortic Valve Replacement (TAVR) Surgery: A Machine Learning Approach
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Memory as Resonance: A Biomimetic Architecture for Infinite Context Memory on Ergodic Phonetic Manifolds
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DTFormer: Text-Guided Semantic Alignment for RGB-D Segmentation
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Contrastive Time Series Forecasting with Anomalies
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