Showing 1–20 of 174 results
/ Date/ Name
May 16, 2002The Heterogeneous Multi-Scale MethodMay 21, 2020Can Shallow Neural Networks Beat the Curse of Dimensionality? A mean field training perspectiveSep 23, 2020Machine Learning and Computational MathematicsJun 4, 2018Adaptive coupling of a deep neural network potential to a classical force fieldOct 15, 2018A Priori Estimates of the Population Risk for Two-layer Neural NetworksFeb 5, 2023MAC: A unified framework boosting low resource automatic speech recognitionMay 23, 2018End-to-end Symmetry Preserving Inter-atomic Potential Energy Model for Finite and Extended SystemsFeb 12, 2011Adaptive local basis set for Kohn-Sham density functional theory in a discontinuous Galerkin framework I: Total energy calculationOct 12, 2020Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep LearningSep 6, 2020OnsagerNet: Learning Stable and Interpretable Dynamics using a Generalized Onsager PrincipleApr 8, 2019A Comparative Analysis of the Optimization and Generalization Property of Two-layer Neural Network and Random Feature Models Under Gradient Descent DynamicsFeb 9, 2021The Phase Diagram of a Deep Potential Water ModelDec 10, 2017Reinforced dynamics for enhanced sampling in large atomic and molecular systemsJul 17, 2015Multiscale Adaptive Representation of Signals: I. The Basic FrameworkAug 10, 2017On multilevel Picard numerical approximations for high-dimensional nonlinear parabolic partial differential equations and high-dimensional nonlinear backward stochastic differential equationsApr 17, 2004Multiscale simulations in simple metals: a density-functional based methodologyOct 30, 2010The Gentlest Ascent DynamicsJul 8, 2024Uni-ELF: A Multi-Level Representation Learning Framework for Electrolyte Formulation DesignOct 15, 2024How Transformers Get Rich: Approximation and Dynamics AnalysisApr 28, 2025LAMBench: A Benchmark for Large Atomistic Models