Andrew Warrington

According to our database1, Andrew Warrington authored at least 13 papers between 2017 and 2024.

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

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Deep Linear Hawkes Processes.
CoRR, 2024

Towards Scalable and Stable Parallelization of Nonlinear RNNs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Switching Autoregressive Low-rank Tensor Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Simplified State Space Layers for Sequence Modeling.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
SIXO: Smoothing Inference with Twisted Objectives.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Planning as Inference in Epidemiological Dynamics Models.
Frontiers Artif. Intell., 2021

Robust Asymmetric Learning in POMDPs.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Planning as Inference in Epidemiological Models.
CoRR, 2020

Coping With Simulators That Don't Always Return.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging.
CoRR, 2019

2018
Generalising Cost-Optimal Particle Filtering.
CoRR, 2018

On Nesting Monte Carlo Estimators.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Updating the VESICLE-CNN Synapse Detector.
CoRR, 2017


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