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Limit Theorems for One-Dimensional Homogenized Diffusion Processes
Preprint 2025
Dynamical low-rank tensor approximations to high-dimensional parabolic problems: existence and convergence of spatial discretizations
Journal Article 2025
Error analysis for a Finite Element Discretization of a radially symmetric harmonic map heat flow problem
Preprint 2025
Minimum-Peak-Cost Flows Over Time
Journal Article 2025
Low-Rank Tensor Recovery via Theta Nuclear p-Norm
Preprint 2025
Energy propagation in scattering convolution networks can be arbitrarily slow
Journal Article 2025
Digital implementations of deep feature extractors are intrinsically informative
Preprint 2025
Numerical simulation of the Gross-Pitaevskii equation via vortex tracking
Jornal Article 2025
The Riemannian Geometry associated to Gradient Flows of Linear Convolutional Networks
Preprint 2025
μPC: Scaling Predictive Coding to 100+ Layer Networks
Preprint 2025
Sparse and low-rank approximations of parametric elliptic PDEs: the best of both worlds
Preprint 2025
Adaptive stochastic Galerkin finite element methods: Optimality and non-affine coefficients
Preprint 2025
A Minimum Distance Estimator Approach for Misspecified Ergodic Processes
Preprint 2025
Well-posedness of half-harmonic map heat flows for rough initial data
Preprint 2025
Consistent sampling of Paley-Wiener functions on graphons
Preprint 2025
Convergence of gradient based training for linear Graph Neural Networks
Preprint 2025
Pathwise Solvability and Bubbling in 2D Stochastic Landau-Lifshitz-Gilbert Equations
Preprint 2025
Discretization error analysis for a radially symmetric harmonic map heat flow problem
Preprint 2025
Efficient Sparsification of Simplicial Complexes via Local Densities of States
Preprint 2025
Sparse control in microscopic and mean-field leader-follower models
Preprint 2025