Manifold-Aware Regularization for Masked Autoencoders

Multiplicative contrast source inversion method in electrical properties tomography based on Jacobi matrix inversion

Bayesian Linear Inverse Problems in Regularity Scales with Discrete Observations

Kernel-based identification using Lebesgue-sampled data

The effective velocity model: An improved approach to velocity sampling in actuator line models

Temporal approximation of stochastic evolution equations with irregular nonlinearities

Combinatorial Nonnegative Matrix-Tensor Factorization for Hyperspectral Unmixing Using a General ℓ q Norm Regularization

Energy-conserving hyper-reduction and temporal localization for reduced order models of the incompressible Navier-Stokes equations

New approximations for network reliability

Thresholds of Deflection For Flexible Conical Vegetation Under Wave Flow

Compressed Sensing in Low-Field MRI: Using Multiplicative Regularization

Non-linear finite elementmodelling of prestressed slab-between-girder bridge: using a 3D non-planar mesh of shell elements

Understanding the effect of the increase in the intellectual disability population: A system dynamic approach

Continuous Distribution of Entanglement in Quantum Networks with Regular Topologies

Consistent Regularization of Induced Coulomb Stresses in Displaced Faults

On the trace embedding and its applications to evolution equations

GLM-Regularized Low-Rank Factorization For Extracting Functional Response From Swept-3D Functional Ultrasound

Spatial and temporal reconstruction of unsteady rotating forces through an inverse acoustic method

Non-chaotic limit sets in multi-agent learning

Deep limits of residual neural networks