Search Results for author:
Found 3 papers, 1 papers with code
JAX MD: A Framework for Differentiable Physics
We introduce JAX MD, a software package for performing differentiable physics simulations with a focus on molecular dynamics.
MetaInit: Initializing learning by learning to initialize
In particular, we find that this approach outperforms normalization for networks without skip connections on CIFAR-10 and can scale to Resnet-50 models on Imagenet.
Mean Field Residual Networks: On the Edge of Chaos
Classical feedforward neural networks, such as those with tanh activations, exhibit exponential behavior on the average when propagating inputs forward or gradients backward.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
