2 papers
cs.LG2020
Self Normalizing Flows
T. Anderson Keller, Jorn W. T. Peters, Priyank Jaini +3
Efficient gradient computation of the Jacobian determinant term is a core problem in many machine learning settings, and especially so in the normalizing flow framework. Most propo…
cs.NE2018
Fast Weight Long Short-Term Memory
T. Anderson Keller, Sharath Nittur Sridhar, Xin Wang
Associative memory using fast weights is a short-term memory mechanism that substantially improves the memory capacity and time scale of recurrent neural networks (RNNs). As recent…