Pages that link to "Item:Q5027015"
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The following pages link to Layer-Parallel Training of Deep Residual Neural Networks (Q5027015):
Displaying 27 items.
- Residual networks as flows of diffeomorphisms (Q1988351) (← links)
- Application of the residue number system to reduce hardware costs of the convolutional neural network implementation (Q1998097) (← links)
- Derivation and analysis of parallel-in-time neural ordinary differential equations (Q2023867) (← links)
- Multigrid reduction in time with Richardson extrapolation (Q2033684) (← links)
- A sequential quadratic Hamiltonian algorithm for training explicit RK neural networks (Q2068636) (← links)
- Quantized convolutional neural networks through the lens of partial differential equations (Q2079526) (← links)
- AutoMat: automatic differentiation for generalized standard materials on GPUs (Q2115597) (← links)
- Long-time integration of parametric evolution equations with physics-informed DeepONets (Q2683074) (← links)
- Structure-preserving deep learning (Q5014474) (← links)
- New Flexible Multiple-Precision Multiply-Accumulate Unit for Deep Neural Network Training and Inference (Q5211758) (← links)
- A Unified Analysis Framework for Iterative Parallel-in-Time Algorithms (Q6054282) (← links)
- Multilevel Objective-Function-Free Optimization with an Application to Neural Networks Training (Q6076869) (← links)
- Multilevel minimization for deep residual networks (Q6077504) (← links)
- Parallel orthogonal deep neural network (Q6078756) (← links)
- Semi-implicit back propagation (Q6085636) (← links)
- Globally Convergent Multilevel Training of Deep Residual Networks (Q6108152) (← links)
- MGIC: Multigrid-in-Channels Neural Network Architectures (Q6108155) (← links)
- Connections between numerical algorithms for PDEs and neural networks (Q6156049) (← links)
- Efficient multigrid reduction-in-time for method-of-lines discretizations of linear advection (Q6159242) (← links)
- Parareal with a learned coarse model for robotic manipulation (Q6163817) (← links)
- Applications of time parallelization (Q6163822) (← links)
- A space-time parallel algorithm with adaptive mesh refinement for computational fluid dynamics (Q6163824) (← links)
- An optimal control framework for adaptive neural ODEs (Q6561374) (← links)
- One-shot learning of surrogates in PDE-constrained optimization under uncertainty (Q6587616) (← links)
- Event-based automatic differentiation of OpenMP with opDiLib (Q6599995) (← links)
- Enhancing training of physics-informed neural networks using domain decomposition-based preconditioning strategies (Q6623675) (← links)
- A parareal architecture for very deep convolutional neural networks (Q6630138) (← links)
