ML Anthology

Foong, Andrew

5 publications

NeurIPS 2023 Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noe, Ryota Tomioka
NeurIPS 2021 Collapsed Variational Bounds for Bayesian Neural Networks Marcin Tomczak, Siddharth Swaroop, Andrew Foong, Richard Turner
NeurIPS 2021 How Tight Can PAC-Bayes Be in the Small Data Regime? Andrew Foong, Wessel Bruinsma, David Burt, Richard Turner
NeurIPS 2020 Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes Andrew Foong, Wessel Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard Turner
NeurIPS 2020 On the Expressiveness of Approximate Inference in Bayesian Neural Networks Andrew Foong, David Burt, Yingzhen Li, Richard Turner