Faithful Model Inversion Substantially Improves Auto-encoding Variational Inference. - Stefan Webb; Adam Golinski; Robert Zinkov; N. Siddharth 001; Yee Whye Teh; Frank D. Wood (CoRR, 2017)

Distributed Bayesian Learning with Stochastic Natural Gradient Expectation Propagation and the Posterior Server. - Leonard Hasenclever; Stefan Webb; Thibaut Liénart; Sebastian J. Vollmer; Balaji Lakshminarayanan; Charles Blundell; Yee Whye Teh (J. Mach. Learn. Res., 2017)

Faithful Inversion of Generative Models for Effective Amortized Inference. - Stefan Webb; Adam Golinski; Robert Zinkov; Siddharth Narayanaswamy; Tom Rainforth; Yee Whye Teh; Frank Wood (NeurIPS, 2018)

A Statistical Approach to Assessing Neural Network Robustness. - Stefan Webb; Tom Rainforth; Yee Whye Teh; M. Pawan Kumar (ICLR (Poster), 2019)

GRAND: Graph Neural Diffusion. - Ben Chamberlain 001; James Rowbottom; Maria I. Gorinova 001; Michael M. Bronstein; Stefan Webb; Emanuele Rossi (ICML, 2021)

Statistically robust neural network classification. - Benjie Wang 001; Stefan Webb; Tom Rainforth (UAI, 2021)