List of works - David Duvenaud

Active Learning of Model Evidence Using Bayesian Quadrature ⬇️

scientific article published in January 2012

Additive Gaussian Processes ⬇️

scientific article published in January 2011

Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules.

scientific article published on 12 January 2018

Composing graphical models with neural networks for structured representations and fast inference ⬇️

scientific article published in January 2016

Compositional Inductive Biases in Function Learning

scientific article published on 3 December 2016

Compositional inductive biases in function learning

scientific article published on 16 November 2017

Convolutional Networks on Graphs for Learning Molecular Fingerprints ⬇️

scientific article published in January 2015

Design of efficient molecular organic light-emitting diodes by a high-throughput virtual screening and experimental approach.

scientific article published on 8 August 2016

Efficient Graph Generation with Graph Recurrent Attention Networks ⬇️

scholarly article by Renjie Liao et al published 2019 in Advances in Neural Information Processing Systems 32

Gradient-based Hyperparameter Optimization through Reversible Learning

scholarly article

Isolating Sources of Disentanglement in Variational Autoencoders ⬇️

Latent Ordinary Differential Equations for Irregularly-Sampled Time Series ⬇️

scientific article published in January 2019

Learning Differential Equations that are Easy to Solve ⬇️

scientific article published in November 2020

Neural Networks for the Prediction of Organic Chemistry Reactions

scientific article

Neural Networks with Cheap Differential Operators ⬇️

Neural Ordinary Differential Equations ⬇️

Probabilistic ODE Solvers with Runge-Kutta Means ⬇️

scientific article published in January 2014

Probing the Compositionality of Intuitive Functions ⬇️