A Function-Space Stability Boundary for Generalization in Interpolating Learning Systems
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When Less is More: The LLM Scaling Paradox in Context Compression
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A Unified Matrix-Spectral Framework for Stability and Interpretability in Deep Learning
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Discrete Diffusion Models Exploit Asymmetry to Solve Lookahead Planning Tasks
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Root Cause Analysis of Measurement and Mechanistic Anomalies
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SmartMeterFM: Flow Matching for Smart Meter Data Generation, Imputation, and Super-Resolution Without Retraining
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Federated learning for unpaired multimodal data
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Sample-wise Constrained Learning via a Sequential Penalty Approach with Applications in Image Processing
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Your Group-Relative Advantage Is Biased
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Fusion or Confusion? Multimodal Complexity Is Not All You Need
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Temporal speckle enables probabilistic weights for uncertainty-aware photonic AI
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Geometry as a Missing Axis of Representation Quality: The Variational Geometric Information Bottleneck under Data Scarcity
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