Roeder, Geoffrey

4 publications

ICML 2021 On Linear Identifiability of Learned Representations Geoffrey Roeder, Luke Metz, Durk Kingma

NeurIPS 2020 Learning Composable Energy Surrogates for PDE Order Reduction Alex Beatson, Jordan Ash, Geoffrey Roeder, Tianju Xue, Ryan P. Adams

ICML 2019 Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical Systems Geoffrey Roeder, Paul Grant, Andrew Phillips, Neil Dalchau, Edward Meeds

NeurIPS 2017 Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder, Yuhuai Wu, David K. Duvenaud