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Found 4 papers, 0 papers with code
Improved Search Strategies with Application to Estimating Facial Blendshape Parameters
It is well known that popular optimization techniques can lead to overfitting or even a lack of convergence altogether; thus, practitioners often utilize ad hoc regularization terms added to the energy functional.
A Deep Conjugate Direction Method for Iteratively Solving Linear Systems
We present a novel deep learning approach to approximate the solution of large, sparse, symmetric, positive-definite linear systems of equations.
Sample-Efficient and Surrogate-Based Design Optimization of Underwater Vehicle Hulls
In this work, we leverage recent advances in optimization and artificial intelligence (AI) to explore both of these potential approaches, in the context of designing an optimal unmanned underwater vehicle (UUV) hull.
Compelling ReLU Network Initialization and Training to Leverage Exponential Scaling with Depth
To address this issue, we introduce a novel training strategy: we first reparameterize the network weights in a manner that forces an exponential number of activation patterns to manifest.
