Evaluating Time Series Foundation Models for Electricity Price Forecasting: Contamination Risk, Distributional Shifts, and Covariate Dependence
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Directional Curvature from Armijo Backtracking: A Low-Cost Sharpness Probe and a Calibration-Free Learning-Rate Safeguard for Adam
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Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach
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Linear Independent Component Analysis via Optimal Transport
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ECGLight: Compute-Light Framework For Paper ECG Digitization and Myocardial Infarction Screening
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RUBRIC: Realism--Utility Balanced Ranking for Imbalanced Classification
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Manifold-Constrained Hyper-Connections for Parameter-Efficient Finetuning
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Dual-Primal Graph VAEs for Noisy Label Aggregation
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Auditing Privacy Risks in LLM-Enhanced Graph Neural Networks
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The Implications of Linguistic Illegibility for LLM Security
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Robust PAC Learning of Concurrent Stochastic Games
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Decomposition-Guided Diffusion Language Models for Inertial Confinement Fusion Prediction
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