Natural scene statistics and the structure of orientation maps in the visual cortex. - Jonathan J. Hunt; Clare E. Giacomantonio; Huajin Tang; Duncan Mortimer; Sajjida Jaffer; Vasily Vorobyov; Geoffery Ericksson; Frank Sengpiel; Geoffrey J. Goodhill (NeuroImage, 2009)

The Combinatorics of Neurite Self-Avoidance. - Elizabeth M. Forbes; Jonathan J. Hunt; Geoffrey J. Goodhill (Neural Comput., 2011)

Sparse Coding on the Spot: Spontaneous Retinal Waves Suffice for Orientation Selectivity. - Jonathan J. Hunt; Michael R. Ibbotson; Geoffrey J. Goodhill (Neural Comput., 2012)

Sparse Coding Can Predict Primary Visual Cortex Receptive Field Changes Induced by Abnormal Visual Input. - Jonathan J. Hunt; Peter Dayan; Geoffrey J. Goodhill (PLoS Comput. Biol., 2013)

Stripe-rearing changes multiple aspects of the structure of primary visual cortex. - Nicholas J. Hughes; Jonathan J. Hunt; Shaun L. Cloherty; Michael R. Ibbotson; Frank Sengpiel; Geoffrey J. Goodhill (NeuroImage, 2014)

Memory-based control with recurrent neural networks. - Nicolas Heess; Jonathan J. Hunt; Timothy P. Lillicrap; David Silver (CoRR, 2015)

Scaling Memory-Augmented Neural Networks with Sparse Reads and Writes. - Jack W. Rae; Jonathan J. Hunt; Ivo Danihelka; Timothy Harley; Andrew W. Senior; Gregory Wayne; Alex Graves; Tim Lillicrap (NIPS, 2016)

Continuous control with deep reinforcement learning. - Timothy P. Lillicrap; Jonathan J. Hunt; Alexander Pritzel; Nicolas Heess; Tom Erez; Yuval Tassa; David Silver; Daan Wierstra (ICLR (Poster), 2016)

Successor Features for Transfer in Reinforcement Learning. - André Barreto 001; Will Dabney; Rémi Munos; Jonathan J. Hunt; Tom Schaul; David Silver; Hado van Hasselt (NIPS, 2017)

Entropic Policy Composition with Generalized Policy Improvement and Divergence Correction. - Jonathan J. Hunt; André Barreto 001; Timothy P. Lillicrap; Nicolas Heess (CoRR, 2018)

Composing Entropic Policies using Divergence Correction. - Jonathan J. Hunt; André Barreto 001; Timothy P. Lillicrap; Nicolas Heess (ICML, 2019)

The Option Keyboard: Combining Skills in Reinforcement Learning. - André Barreto 001; Diana Borsa; Shaobo Hou; Gheorghe Comanici; Eser Aygün; Philippe Hamel; Daniel Toyama; Jonathan J. Hunt; Shibl Mourad; David Silver; Doina Precup (NeurIPS, 2019)

Physically Embedded Planning Problems: New Challenges for Reinforcement Learning. - Mehdi Mirza; Andrew Jaegle; Jonathan J. Hunt; Arthur Guez; Saran Tunyasuvunakool; Alistair Muldal; Théophane Weber; Péter Karkus; Sébastien Racanière; Lars Buesing; Timothy P. Lillicrap; Nicolas Heess (CoRR, 2020)

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline. - Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Jonathan Hunt; Michael M. Bronstein; Wenzhe Shi (RecSys, 2021)

The 2021 RecSys Challenge Dataset: Fairness is not optional. - Luca Belli; Alykhan Tejani; Frank Portman; Alexandre Lung-Yut-Fong; Ben Chamberlain 001; Yuanpu Xie; Kristian Lum; Jonathan Hunt; Michael M. Bronstein; Vito Walter Anelli; Saikishore Kalloori; Bruce Ferwerda; et al. (RecSys Challenge, 2021)

An Analysis Of Entire Space Multi-Task Models For Post-Click Conversion Prediction. - Conor O'Brien; Kin Sum Liu; James Neufeld; Rafael Barreto; Jonathan J. Hunt (RecSys, 2021)

Learning to Rank For Push Notifications Using Pairwise Expected Regret. - Yuguang Yue; Yuanpu Xie; Huasen Wu; Haofeng Jia; Shaodan Zhai; Wenzhe Shi; Jonathan J. Hunt (CoRR, 2022)

Challenges and approaches to privacy preserving post-click conversion prediction. - Conor O'Brien; Arvind Thiagarajan; Sourav Das; Rafael Barreto; Chetan Verma; Tim Hsu; James Neufeld; Jonathan J. Hunt (CoRR, 2022)

Should I send this notification? Optimizing push notifications decision making by modeling the future. - Conor O'Brien; Huasen Wu; Shaodan Zhai; Dalin Guo; Wenzhe Shi; Jonathan J. Hunt (CoRR, 2022)

Hyperbolic Deep Reinforcement Learning. - Edoardo Cetin; Benjamin Paul Chamberlain; Michael M. Bronstein; Jonathan J. Hunt (ICLR, 2023)

Diffusion Policies as an Expressive Policy Class for Offline Reinforcement Learning. - Zhendong Wang; Jonathan J. Hunt; Mingyuan Zhou (ICLR, 2023)

Pixels to Play: A Foundation Model for 3D Gameplay. - Yuguang Yue; Chris Green; Samuel Hunt; Irakli Salia; Wenzhe Shi; Jonathan J. Hunt (CoG, 2025)