Felix Dietrich

Fast training of accurate physics-informed neural networks without gradient descent

Rapid Training of Hamiltonian Graph Networks Using Random Features

Random Feature Spiking Neural Networks

Contrastive and Multi-Task Learning on Noisy Brain Signals with Nonlinear Dynamical Signatures

Gradient-free training of recurrent neural networks

Backpropagation-free training of neural PDE solvers for time-dependent problems