Pages that link to "Item:Q2134108"
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The following pages link to Loss landscapes and optimization in over-parameterized non-linear systems and neural networks (Q2134108):
Displaying 13 items.
- An adaptively weighted stochastic gradient MCMC algorithm for Monte Carlo simulation and global optimization (Q2159413) (← links)
- (Q5054655) (← links)
- On the Benefit of Width for Neural Networks: Disappearance of Basins (Q5097010) (← links)
- Approximation bounds for norm constrained neural networks with applications to regression and GANs (Q6038825) (← links)
- Localized ensemble Kalman inversion (Q6042934) (← links)
- Newton-MR: inexact Newton method with minimum residual sub-problem solver (Q6114941) (← links)
- Invariance properties of the natural gradient in overparametrised systems (Q6115103) (← links)
- Discovering a reaction-diffusion model for Alzheimer's disease by combining PINNs with symbolic regression (Q6185193) (← links)
- Loss landscapes and optimization in over-parameterized non-linear systems and neural networks (Q6335878) (← links)
- On averaging block Kaczmarz methods for solving nonlinear systems of equations (Q6582000) (← links)
- One-shot learning of surrogates in PDE-constrained optimization under uncertainty (Q6587616) (← links)
- Convergence analysis for over-parameterized deep learning (Q6608346) (← links)
- Kurdyka-Łojasiewicz exponent via Hadamard parametrization (Q6663111) (← links)
