Prügel-Bennett, Adam

11 publications

NeurIPS 2024 Rethinking Deep Thinking: Stable Learning of Algorithms Using Lipschitz Constraints Jay Bear, Adam Prügel-Bennett, Jonathon Hare

ICML 2022 On the Effects of Artificial Data Modification Antonia Marcu, Adam Prugel-Bennett

ICLR 2020 FSPool: Learning Set Representations with Featurewise Sort Pooling Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

NeurIPSW 2020 Generalisation and the Geometry of Class Separability Dominic Belcher, Adam Prugel-Bennett, Srinandan Dasmahapatra

NeurIPS 2020 Linear Disentangled Representations and Unsupervised Action Estimation Matthew Painter, Adam Prugel-Bennett, Jonathon Hare

NeurIPS 2019 Deep Set Prediction Networks Yan Zhang, Jonathon Hare, Adam Prugel-Bennett

ICLR 2019 Learning Representations of Sets Through Optimized Permutations Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

ICLR 2018 Learning to Count Objects in Natural Images for Visual Question Answering Yan Zhang, Jonathon Hare, Adam Prügel-Bennett

ECML-PKDD 2015 Ising Bandits with Side Information Shaona Ghosh, Adam Prügel-Bennett

CVPRW 2006 Model SelectionWithin a Bayesian Approach to Extraction of Walker Motion Ziheng Zhou, Robert I. Damper, Adam Prügel-Bennett

NeurIPS 1993 Non-Linear Statistical Analysis and Self-Organizing Hebbian Networks Jonathan L. Shapiro, Adam Prügel-Bennett