Geoffrey Roeder
Cited by
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Backpropagation through the void: Optimizing control variates for black-box gradient estimation
W Grathwohl, D Choi, Y Wu, G Roeder, D Duvenaud
arXiv preprint arXiv:1711.00123, 2018
Sticking the landing: Simple, lower-variance gradient estimators for variational inference
G Roeder, Y Wu, D Duvenaud
arXiv preprint arXiv:1703.09194, 2017
Efficient amortised bayesian inference for hierarchical and nonlinear dynamical systems
T Meeds, G Roeder, P Grant, A Phillips, N Dalchau
International Conference on Machine Learning, 4445-4455, 2019
On linear identifiability of learned representations
G Roeder, L Metz, DP Kingma
arXiv preprint arXiv:2007.00810, 2020
A divide-and-conquer algorithm for quantum state preparation
IF Araujo, DK Park, F Petruccione, AJ da Silva
Scientific Reports 11 (1), 1-12, 2021
A data-driven computational scheme for the nonlinear mechanical properties of cellular mechanical metamaterials under large deformation
T Xue, A Beatson, M Chiaramonte, G Roeder, JT Ash, Y Menguc, ...
Soft matter 16 (32), 7524-7534, 2020
Learning composable energy surrogates for PDE order reduction
A Beatson, J Ash, G Roeder, T Xue, RP Adams
Advances in Neural Information Processing Systems 33, 2020
Modelling ordinary differential equations using a variational auto encoder
E Meeds, G Roeder, N Dalchau
US Patent App. 16/255,778, 2020
Design Motifs for Probabilistic Generative Design
G Roeder, N Killoran, W Grathwohl, D Duvenaud
Climate models in modal adverbials: representational practice and deep uncertainty in the IPCC summary documents
GG Roeder
University of British Columbia, 2011
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