Background: Previous scholars have conducted a series of explorations on the relationship between learning approaches and mathematical creativity, but it remains unclear how deep learning approach ...

Abstract: Lipschitz extensions were proposed as a tool for designing differentially private algorithms for approximating graph statistics. However, efficiently computable Lipschitz extensions were ...

Will you have a white Christmas this year? What do you notice about the map below? What questions does it raise for you? By The Learning Network What do you notice about the global nuclear stockpile, ...

Abstract: This study presents a learning companion, incorporating a knowledge graph and chatbot, aimed at enhancing the writing skills of primary school students. The proposed model constructs a ...

Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form ...

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential ...