output
20152026
most citedImproved Training of Wasserstein GANs

1.5k citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing 2018 · cs.LGShow all

4 papers · 2 filters

cs.LG2018★ 5 cited

Interpretable Neuron Structuring with Graph Spectral Regularization

Alexander Tong, David van Dijk, Jay S. Stanley +6

While neural networks are powerful approximators used to classify or embed data into lower dimensional spaces, they are often regarded as black boxes with uninterpretable features.…

cs.LG2018★ 78 cited

Scattering Networks for Hybrid Representation Learning

Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang +4

Scattering networks are a class of designed Convolutional Neural Networks (CNNs) with fixed weights. We argue they can serve as generic representations for modelling images. In par…

cs.LG2018★ 18 cited

Predicting Tactical Solutions to Operational Planning Problems under Imperfect Information

Eric Larsen, Sébastien Lachapelle, Yoshua Bengio +3

This paper offers a methodological contribution at the intersection of machine learning and operations research. Namely, we propose a methodology to quickly predict expected tactic…

cs.LG2018

Neural Autoregressive Flows

Chin-Wei Huang, David Krueger, Alexandre Lacoste +1

Normalizing flows and autoregressive models have been successfully combined to produce state-of-the-art results in density estimation, via Masked Autoregressive Flows (MAF), and to…