Andrew Warrington

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 17

Top Topics

State Transition

Particle Filter

Top Venues

Publications

Xavier Gonzalez, Andrew Warrington, Jimmy T. H. Smith, Scott W. Linderman
Towards Scalable and Stable Parallelization of Nonlinear RNNs. CoRR (2024)
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
Simplified State Space Layers for Sequence Modeling. ICLR (2023)
Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman
Switching Autoregressive Low-rank Tensor Models. CoRR (2023)
Hyun Dong Lee, Andrew Warrington, Joshua I. Glaser, Scott W. Linderman
Switching Autoregressive Low-rank Tensor Models. NeurIPS (2023)
Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman
SIXO: Smoothing Inference with Twisted Objectives. NeurIPS (2022)
Jimmy T. H. Smith, Andrew Warrington, Scott W. Linderman
Simplified State Space Layers for Sequence Modeling. CoRR (2022)
Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott W. Linderman
SIXO: Smoothing Inference with Twisted Objectives. CoRR (2022)
Andrew Warrington, Jonathan Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
Robust Asymmetric Learning in POMDPs. ICML (2021)
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)
Andrew Warrington, Frank Wood, Saeid Naderiparizi
Coping With Simulators That Don't Always Return. AISTATS (2020)
Andrew Warrington, Saeid Naderiparizi, Frank Wood
Coping With Simulators That Don't Always Return. CoRR (2020)
Frank Wood, Andrew Warrington, Saeid Naderiparizi, Christian Weilbach, Vaden Masrani, William Harvey, Adam Scibior, Boyan Beronov, Ali Nasseri
Planning as Inference in Epidemiological Models. CoRR (2020)
Andrew Warrington, J. Wilder Lavington, Adam Scibior, Mark Schmidt, Frank Wood
Robust Asymmetric Learning in POMDPs. CoRR (2020)
Andrew Warrington, Arthur Spencer, Frank Wood
The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. CoRR (2019)
Tom Rainforth, Robert Cornish, Hongseok Yang, Andrew Warrington
On Nesting Monte Carlo Estimators. ICML (2018)
Andrew Warrington, Neil Dhir
Generalising Cost-Optimal Particle Filtering. CoRR (2018)
Andrew Warrington, Frank D. Wood
Updating the VESICLE-CNN Synapse Detector. CoRR (2017)