Andrew Warrington

According to our database, Andrew Warrington authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Scalable and Stable Parallelization of Nonlinear RNNs.

Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman

CoRR, 2024

2023

Switching Autoregressive Low-rank Tensor Models.

Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman

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.

Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

SIXO: Smoothing Inference with Twisted Objectives.

Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman

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.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri

Frontiers Artif. Intell., 2021

Robust Asymmetric Learning in POMDPs.

Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Planning as Inference in Epidemiological Models.

Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri

CoRR, 2020

Coping With Simulators That Don't Always Return.

Andrew Warrington, Frank Wood, Saeid Naderiparizi

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.

Andrew Warrington, Arthur P. C. Spencer, Frank Wood

CoRR, 2019

2018

Generalising Cost-Optimal Particle Filtering.

Andrew Warrington, Neil Dhir

CoRR, 2018

On Nesting Monte Carlo Estimators.

Tom Rainforth, Robert Cornish, Hongseok Yang, Andrew Warrington

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Updating the VESICLE-CNN Synapse Detector.

Andrew Warrington, Frank D. Wood

CoRR, 2017