William Tebbutt

According to our database1, William Tebbutt authored at least 9 papers between 2019 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
Ice Core Dating using Probabilistic Programming.
CoRR, 2022

2021
Convolutional conditional neural processes for local climate downscaling.
CoRR, 2021

Combining pseudo-point and state space approximations for sum-separable Gaussian Processes.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2020
Sparse Gaussian Process Variational Autoencoders.
CoRR, 2020

Scalable Exact Inference in Multi-Output Gaussian Processes.
Proceedings of the 37th International Conference on Machine Learning, 2020

Generalized Physics-Informed Learning through Language-Wide Differentiable Programming.
Proceedings of the AAAI 2020 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, Stanford, CA, USA, March 23rd - to, 2020

2019
A Differentiable Programming System to Bridge Machine Learning and Scientific Computing.
CoRR, 2019

The Gaussian Process Autoregressive Regression Model (GPAR).
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

AdvancedHMC.jl: A robust, modular and e cient implementation of advanced HMC algorithms.
Proceedings of the Symposium on Advances in Approximate Bayesian Inference, 2019


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