James Requeima

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 23

Top Topics

Stochastic Processes

Random Field Models

Sensor Placement

Top Venues

Publications

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)
James Requeima, John Bronskill, Dami Choi, Richard E. Turner, David Duvenaud
LLM Processes: Numerical Predictive Distributions Conditioned on Natural Language. CoRR (2024)
Jonas Scholz, Tom R. Andersson, Anna Vaughan, James Requeima, Richard E. Turner
Sim2Real for Environmental Neural Processes. CoRR (2023)
Lorenzo Bonito, James Requeima, Aliaksandra Shysheya, Richard E. Turner
Diffusion-Augmented Neural Processes. CoRR (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. 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)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Process Via Tractable Dependent Predictions. ICLR (2022)
Stratis Markou, James Requeima, Wessel P. Bruinsma, Anna Vaughan, Richard E. Turner
Practical Conditional Neural Processes Via Tractable Dependent Predictions. CoRR (2022)
Ambrish Rawat, James Requeima, Wessel P. Bruinsma, Richard E. Turner
Challenges and Pitfalls of Bayesian Unlearning. 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)
Wessel P. Bruinsma, James Requeima, Andrew Y. K. Foong, Jonathan Gordon, Richard E. Turner
The Gaussian Neural Process. CoRR (2021)
Stratis Markou, James Requeima, Wessel Bruinsma, Richard E. Turner
Efficient Gaussian Neural Processes for Regression. CoRR (2021)
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
TaskNorm: Rethinking Batch Normalization for Meta-Learning. CoRR (2020)
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)
John Bronskill, Jonathan Gordon, James Requeima, Sebastian Nowozin, Richard E. Turner
TaskNorm: Rethinking Batch Normalization for Meta-Learning. ICML (2020)
Andrew Y. K. Foong, Wessel Bruinsma, Jonathan Gordon, Yann Dubois, James Requeima, Richard E. Turner
Meta-Learning Stationary Stochastic Process Prediction with Convolutional Neural Processes. NeurIPS (2020)
Jonathan Gordon, Wessel P. Bruinsma, Andrew Y. K. Foong, James Requeima, Yann Dubois, Richard E. Turner
Convolutional Conditional Neural Processes. CoRR (2019)
James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
Fast and Flexible Multi-Task Classification using Conditional Neural Adaptive Processes. NeurIPS (2019)
James Requeima, William Tebbutt, Wessel Bruinsma, Richard E. Turner
The Gaussian Process Autoregressive Regression Model (GPAR). AISTATS (2019)
James Requeima, Jonathan Gordon, John Bronskill, Sebastian Nowozin, Richard E. Turner
Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes. CoRR (2019)
José Miguel Hernández-Lobato, James Requeima, Edward O. Pyzer-Knapp, Alán Aspuru-Guzik
Parallel and Distributed Thompson Sampling for Large-scale Accelerated Exploration of Chemical Space. ICML (2017)