Warrington, Andrew

9 publications

NeurIPS 2025 Deep Continuous-Time State-Space Models for Marked Event Sequences Yuxin Chang, Alex James Boyd, Cao Xiao, Taha Kass-Hout, Parminder Bhatia, Padhraic Smyth, Andrew Warrington

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

ICLR 2023 Simplified State Space Layers for Sequence Modeling Jimmy T.H. Smith, Andrew Warrington, Scott Linderman

NeurIPS 2023 Switching Autoregressive Low-Rank Tensor Models Hyun Dong Lee, Andrew Warrington, Joshua Glaser, Scott Linderman

NeurIPS 2022 SIXO: Smoothing Inference with Twisted Objectives Dieterich Lawson, Allan Raventós, Andrew Warrington, Scott Linderman

ICML 2021 Robust Asymmetric Learning in POMDPs Andrew Warrington, Jonathan W Lavington, Adam Scibior, Mark Schmidt, Frank Wood

AISTATS 2020 Coping with Simulators That Don’t Always Return Andrew Warrington, Saeid Naderiparizi, Frank Wood

NeurIPSW 2019 The Virtual Patch Clamp: Imputing C. Elegans Membrane Potentials from Calcium Imaging Andrew Warrington, Arthur Spencer, Frank Wood

ICML 2018 On Nesting Monte Carlo Estimators Tom Rainforth, Rob Cornish, Hongseok Yang, Andrew Warrington, Frank Wood