Showing 21–32 of 32 results
/ Date/ Name
Oct 7, 2024Data-Driven Discovery of Conservation Laws from Trajectories via Neural DeflationOct 8, 2025Rethinking Nonlinearity: Trainable Gaussian Mixture Modules for Modern Neural ArchitecturesAug 18, 2012Multiple scattering in random mechanical systems and diffusion approximationOct 3, 2012A functional analytic approach to perturbations of the Lorentz gasFeb 18, 2013Diffusivity in multiple scattering systemsApr 26, 2026Hamiltonian Graph Inference Networks: Joint structure discovery and dynamics prediction for lattice Hamiltonian systems from trajectory dataFeb 24, 2023Inducing Schemes with Finite Weighted ComplexityFeb 24, 2019Necessary and sufficient condition for $\cM_2$-convergence to a Lévy process for billiards with cusps at flat pointsJul 16, 2024$α$-SGHN: A Robust Model for Learning Particle Interactions in Lattice SystemsOct 11, 2025CauchyNet: Compact and Data-Efficient Learning using Holomorphic Activation FunctionsDec 14, 2024Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural LearningNov 3, 2016Stable laws for chaotic billiards with cusps at flat points