A Weighted Kernel Method for Approximation that Adapts to Learned Multivariable Structure
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Learning Operators by Regularized Stochastic Gradient Descent with Operator-valued Kernels
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One Capability or Many? Structural and Predictive Tests of Benchmark Validity Disagree About Economic Benchmarks for Frontier AI
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What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs
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MolLedger: An Additive Graph Neural Network with Chemically Grounded ADME Attributions
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WEECFP-SuRGE: A Position-Aware Substructure Encoding Method for Molecular Property Prediction
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Generative Modeling of Discrete Data Using Geometric Latent Subspaces
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Beyond Quadratic Loss: The Stability Phase Diagram of Adam
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Minimax and Adaptive Covariance Matrix Estimation under Differential Privacy
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On associative neural networks for sparse patterns with huge capacities
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On the Expressive Power of Transformers for Contextual Relations
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Towards Interpretable Damage Detection based on Aerodynamic Pressure Measurements
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