Updating the VESICLE-CNN Synapse Detector. - Andrew Warrington; Frank D. Wood (CoRR, 2017)

On Nesting Monte Carlo Estimators. - Tom Rainforth; Robert Cornish; Hongseok Yang; Andrew Warrington (ICML, 2018)

Generalising Cost-Optimal Particle Filtering. - Andrew Warrington; Neil Dhir (CoRR, 2018)

The Virtual Patch Clamp: Imputing C. elegans Membrane Potentials from Calcium Imaging. - Andrew Warrington; Arthur P. C. Spencer; Frank Wood (CoRR, 2019)

Coping With Simulators That Don't Always Return. - Andrew Warrington; Frank Wood; Saeid Naderiparizi (AISTATS, 2020)

Planning as Inference in Epidemiological Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; Seyed Ali Nasseri (CoRR, 2020)

Robust Asymmetric Learning in POMDPs. - Andrew Warrington; Jonathan Wilder Lavington; Adam Scibior; Mark Schmidt 001; Frank Wood (ICML, 2021)

Planning as Inference in Epidemiological Dynamics Models. - Frank Wood; Andrew Warrington; Saeid Naderiparizi; Christian Weilbach; Vaden Masrani; William Harvey 002; Adam Scibior; Boyan Beronov; John Grefenstette; Duncan Campbell; Seyed Ali Nasseri (Frontiers Artif. Intell., 2021)

SIXO: Smoothing Inference with Twisted Objectives. - Dieterich Lawson; Allan Raventós; Andrew Warrington; Scott W. Linderman (NeurIPS, 2022)

Simplified State Space Layers for Sequence Modeling. - Jimmy T. H. Smith; Andrew Warrington; Scott W. Linderman (ICLR, 2023)

Switching Autoregressive Low-rank Tensor Models. - Hyun Dong Lee; Andrew Warrington; Joshua I. Glaser; Scott W. Linderman (NeurIPS, 2023)

Towards Scalable and Stable Parallelization of Nonlinear RNNs. - Xavier Gonzalez; Andrew Warrington; Jimmy T. H. Smith; Scott W. Linderman (NeurIPS, 2024)

Deep Linear Hawkes Processes. - Yuxin Chang; Alex Boyd; Cao Xiao; Taha A. Kass-Hout; Parminder Bhatia; Padhraic Smyth; Andrew Warrington (CoRR, 2024)

Foundation Artificial Intelligence Models for Health Recognition Using Face Photographs (FAHR-Face). - Fridolin Haugg; Grace Lee; John He; Leonard Nürnberg; Dennis Bontempi; Danielle S. Bitterman; Paul J. Catalano; Vasco Prudente; Dmitrii Glubokov; Andrew Warrington; Suraj Pai; Dirk De Ruysscher; et al. (CoRR, 2025)