Diederik P. Kingma

activity

20132024

most citedAdam: A Method for Stochastic Optimization

83.4k citations · 107.7k across the 29 of their papers we have counts for

collaborators

Showing 2017Show all

2 papers · 1 filter

stat.ML2017★ 148 cited

Learning Sparse Neural Networks through $L_{0}$ Regularization

Christos Louizos, Max Welling, Diederik P. Kingma

We propose a practical method for $L_{0}$ norm regularization for neural networks: pruning the network during training by encouraging weights to become exactly zero. Such regularizat…

cs.LG2017★ 75 cited

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Tim Salimans, Andrej Karpathy, Xi Chen +1

PixelCNNs are a recently proposed class of powerful generative models with tractable likelihood. Here we discuss our implementation of PixelCNNs which we make available at https://…

Learning Sparse Neural Networks through L0​ Regularization

PixelCNN++: Improving the PixelCNN with Discretized Logistic Mixture Likelihood and Other Modifications

Learning Sparse Neural Networks through $L_{0}$ Regularization