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2020 – today
- 2024
[i10]Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman:
Towards Scalable and Stable Parallelization of Nonlinear RNNs. CoRR abs/2407.19115 (2024)- 2023
- [c6]Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman:
Simplified State Space Layers for Sequence Modeling. ICLR 2023 - [c5]Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman:
Switching Autoregressive Low-rank Tensor Models. NeurIPS 2023 - [i9]Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman:
Switching Autoregressive Low-rank Tensor Models. CoRR abs/2306.03291 (2023) - 2022
- [c4]Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman:
SIXO: Smoothing Inference with Twisted Objectives. NeurIPS 2022 - [i8]Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman:
SIXO: Smoothing Inference with Twisted Objectives. CoRR abs/2206.05952 (2022) - [i7]Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman:
Simplified State Space Layers for Sequence Modeling. CoRR abs/2208.04933 (2022) - 2021
- [j1]Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov
, John Grefenstette, Duncan Campbell, Seyed Ali Nasseri:
Planning as Inference in Epidemiological Dynamics Models. Frontiers Artif. Intell. 4 (2021) - [c3]Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood:
Robust Asymmetric Learning in POMDPs. ICML 2021: 11013-11023 - 2020
- [c2]Andrew Warrington, Frank Wood, Saeid Naderiparizi:
Coping With Simulators That Don't Always Return. AISTATS 2020: 1748-1758 - [i6]Andrew Warrington, Saeid Naderiparizi, Frank Wood:
Coping With Simulators That Don't Always Return. CoRR abs/2003.12908 (2020) - [i5]Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Seyed Ali Nasseri:
Planning as Inference in Epidemiological Models. CoRR abs/2003.13221 (2020) - [i4]Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood:
Robust Asymmetric Learning in POMDPs. CoRR abs/2012.15566 (2020)
2010 – 2019
- 2019
- [i3]Andrew Warrington, Arthur P. C. Spencer, Frank Wood:
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. CoRR abs/1907.11075 (2019) - 2018
- [c1]Tom Rainforth, Robert Cornish, Hongseok Yang, Andrew Warrington:
On Nesting Monte Carlo Estimators. ICML 2018: 4264-4273 - [i2]Andrew Warrington, Neil Dhir:
Generalising Cost-Optimal Particle Filtering. CoRR abs/1805.00890 (2018) - 2017
- [i1]Andrew Warrington, Frank D. Wood:
Updating the VESICLE-CNN Synapse Detector. CoRR abs/1710.11397 (2017)
Coauthor Index
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