Wessel P. Bruinsma

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 25

Top Topics

Random Field Model

Gaussian Process

Top Venues

Publications

Matthew Ashman, Cristiana Diaconu, Adrian Weller, Wessel P. Bruinsma, Richard E. Turner
Approximately Equivariant Neural Processes. CoRR (2024)
Ossi Räisä, Stratis Markou, Matthew Ashman, Wessel P. Bruinsma, Marlon Tobaben, Antti Honkela, Richard E. Turner
Noise-Aware Differentially Private Regression via Meta-Learning. CoRR (2024)
Anna Vaughan, Stratis Markou, Will Tebbutt, James Requeima, Wessel P. Bruinsma, Tom R. Andersson, Michael Herzog, Nicholas D. Lane, J. Scott Hosking, Richard E. Turner
Aardvark Weather: end-to-end data-driven weather forecasting. CoRR (2024)
Matthew Ashman, Cristiana Diaconu, Junhyuck Kim, Lakee Sivaraya, Stratis Markou, James Requeima, Wessel P. Bruinsma, Richard E. Turner
Translation Equivariant Transformer Neural Processes. CoRR (2024)
Cristian Bodnar, Wessel P. Bruinsma, Ana Lucic, Megan Stanley, Johannes Brandstetter, Patrick Garvan, Maik Riechert, Jonathan A. Weyn, Haiyu Dong, Anna Vaughan, Jayesh K. Gupta, Kit Thambiratnam, Alex Archibald, Elizabeth Heider, Max Welling, Richard E. Turner, Paris Perdikaris
Aurora: A Foundation Model of the Atmosphere. CoRR (2024)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. ICLR (2023)
Wessel P. Bruinsma, Stratis Markou, James Requeima, Andrew Y. K. Foong, Tom R. Andersson, Anna Vaughan, Anthony Buonomo, J. Scott Hosking, Richard E. Turner
Autoregressive Conditional Neural Processes. CoRR (2023)
Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl Edward Rasmussen
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? NeurIPS (2022)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Process Via Tractable Dependent Predictions. ICLR (2022)
Vidhi Lalchand, Wessel P. Bruinsma, David R. Burt, Carl E. Rasmussen
Sparse Gaussian Process Hyperparameters: Optimize or Integrate? CoRR (2022)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Processes Via Tractable Dependent Predictions. CoRR (2022)
Wessel P. Bruinsma, Martin Tegner, Richard E. Turner
Modelling Non-Smooth Signals with Complex Spectral Structure. AISTATS (2022)
Ambrish Rawat, James Requeima, Wessel P. Bruinsma, Richard E. Turner
Challenges and Pitfalls of Bayesian Unlearning. CoRR (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. CoRR (2022)
Tom R. Andersson, Wessel P. Bruinsma, Stratis Markou, James Requeima, Alejandro Coca-Castro, Anna Vaughan, Anna-Louise Ellis, Matthew Lazzara, Daniel C. Jones, J. Scott Hosking, Richard E. Turner
Active Learning with Convolutional Gaussian Neural Processes for Environmental Sensor Placement. CoRR (2022)
Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt
A Note on the Chernoff Bound for Random Variables in the Unit Interval. CoRR (2022)
Beau Coker, Wessel P. Bruinsma, David R. Burt, Weiwei Pan, Finale Doshi-Velez
Wide Mean-Field Bayesian Neural Networks Ignore the Data. AISTATS (2022)
Wessel P. Bruinsma, Martin Tegner, Richard E. Turner
Modelling Non-Smooth Signals with Complex Spectral Structure. CoRR (2022)
Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner
The Gaussian Neural Process. CoRR (2021)
Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner
How Tight Can PAC-Bayes be in the Small Data Regime? CoRR (2021)
Andrew Y. K. Foong, Wessel P. Bruinsma, David R. Burt, Richard E. Turner
How Tight Can PAC-Bayes be in the Small Data Regime? NeurIPS (2021)
Andrew Y. K. Foong, Wessel P. Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. CoRR (2020)
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
Convolutional Conditional Neural Processes. ICLR (2020)
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
Convolutional Conditional Neural Processes. CoRR (2019)
Wessel P. Bruinsma, Eric Perim, William Tebbutt, J. Scott Hosking, Arno Solin, Richard E. Turner
Scalable Exact Inference in Multi-Output Gaussian Processes. CoRR (2019)