Pages that link to "Item:Q2164389"
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The following pages link to The modern mathematics of deep learning (Q2164389):
Displaying 13 items.
- Neural networks in Fréchet spaces (Q2679424) (← links)
- Computation and learning in high dimensions. Abstracts from the workshop held August 1--7, 2021 (hybrid meeting) (Q2693017) (← links)
- Deep neural networks can stably solve high-dimensional, noisy, non-linear inverse problems (Q5873926) (← links)
- Learning-informed parameter identification in nonlinear time-dependent PDEs (Q6073849) (← links)
- Mesh-informed neural networks for operator learning in finite element spaces (Q6077303) (← links)
- ReLU neural networks of polynomial size for exact maximum flow computation (Q6086001) (← links)
- Optimal Reaction Coordinates: Variational Characterization and Sparse Computation (Q6109132) (← links)
- Deterministic neural networks optimization from a continuous and energy point of view (Q6111335) (← links)
- Error convergence and engineering-guided hyperparameter search of PINNs: towards optimized I-FENN performance (Q6116144) (← links)
- Dynamical Systems–Based Neural Networks (Q6181900) (← links)
- Accelerating hypersonic reentry simulations using deep learning-based hybridization (with guarantees) (Q6187668) (← links)
- Neural network expression rates and applications of the deep parametric PDE method in counterparty credit risk (Q6549602) (← links)
- Neural and spectral operator surrogates: unified construction and expression rate bounds (Q6601288) (← links)
