Bruinsma, Wessel

8 publications

NeurIPS 2024 Approximately Equivariant Neural Processes Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel Bruinsma, Richard E. Turner

ICLR 2023 Autoregressive Conditional Neural Processes Wessel Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom Andersson, Anna Vaughan, Anthony Buonomo, Scott Hosking, Richard E Turner

ICLR 2022 Practical Conditional Neural Process via Tractable Dependent Predictions Stratis Markou, James Requeima, Wessel Bruinsma, Anna Vaughan, Richard E Turner

NeurIPS 2022 Sparse Gaussian Process Hyperparameters: Optimize or Integrate? Vidhi Lalchand, Wessel Bruinsma, David Burt, Carl Edward Rasmussen

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

ICML 2020 Scalable Exact Inference in Multi-Output Gaussian Processes Wessel Bruinsma, Eric Perim, William Tebbutt, Scott Hosking, Arno Solin, Richard Turner

AISTATS 2019 The Gaussian Process Autoregressive Regression Model (GPAR) James Requeima, William Tebbutt, Wessel Bruinsma, Richard E. Turner