Performance Comparisons Between Backpropagation Networks and Classification Trees on Three Real-World Applications. - Les E. Atlas; Ronald A. Cole; Jerome T. Connor; Mohamed A. El-Sharkawi; Robert J. Marks II; Yeshwant K. Muthusamy; Etienne Barnard (NIPS, 1989)

A performance comparison of trained multilayer perceptrons and trained classification trees. - Les E. Atlas; Jerome T. Connor; Dong-Chul Park 001; Mohamed A. El-Sharkawi; Robert J. Marks II; Alan F. Lippman; Ronald A. Cole; Yeshwant K. Muthusamy (SMC, 1989)

Recurrent Networks and NARMA Modeling. - Jerome T. Connor; Les E. Atlas; R. Douglas Martin (NIPS, 1991)

Coding Theory and Regularization. - Jerome T. Connor; Les E. Atlas (Data Compression Conference, 1993)

Recurrent neural networks and robust time series prediction. - Jerome T. Connor; R. Douglas Martin; Les E. Atlas (IEEE Trans. Neural Networks, 1994)

A Constrained Neural Network Kalman Filter for Price Estimation in High Frequency Financial Data. - Peter J. Bolland; Jerome T. Connor (Int. J. Neural Syst., 1997)

Improved Option Pricing Using Artificial Neural Networks and Bootstrap Methods. - Paul Lajbcygier; Jerome T. Connor (Int. J. Neural Syst., 1997)

Learning and Evaluating General Linguistic Intelligence. - Dani Yogatama; Cyprien de Masson d'Autume; Jerome T. Connor; Tomás Kociský; Mike Chrzanowski; Lingpeng Kong; Angeliki Lazaridou; Wang Ling; Lei Yu 008; Chris Dyer; Phil Blunsom (CoRR, 2019)

Navigating the Landscape of Games. - Shayegan Omidshafiei; Karl Tuyls; Wojciech M. Czarnecki; Francisco C. Santos; Mark Rowland 001; Jerome T. Connor; Daniel Hennes; Paul Muller; Julien Pérolat; Bart De Vylder; Audrunas Gruslys; Rémi Munos (CoRR, 2020)

Time-series Imputation of Temporally-occluded Multiagent Trajectories. - Shayegan Omidshafiei; Daniel Hennes; Marta Garnelo; Eugene Tarassov; Zhe Wang 055; Romuald Elie; Jerome T. Connor; Paul Muller; Ian Graham; William Spearman; Karl Tuyls (CoRR, 2021)

Evolutionary Dynamics and Φ-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (CoRR, 2021)

Game Plan: What AI can do for Football, and What Football can do for AI. - Karl Tuyls; Shayegan Omidshafiei; Paul Muller; Zhe Wang 055; Jerome T. Connor; Daniel Hennes; Ian Graham; William Spearman; Tim Waskett; Dafydd Steele; Pauline Luc; Adrià Recasens; et al. (J. Artif. Intell. Res., 2021)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning. - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas W. Anthony 001; Stephen McAleer; Romuald Elie; et al. (CoRR, 2022)

Game Theoretic Rating in N-player general-sum games with Equilibria. - Luke Marris; Marc Lanctot; Ian Gemp; Shayegan Omidshafiei; Stephen McAleer; Jerome T. Connor; Karl Tuyls; Thore Graepel (CoRR, 2022)

Evolutionary Dynamics and Phi-Regret Minimization in Games. - Georgios Piliouras; Mark Rowland 001; Shayegan Omidshafiei; Romuald Elie; Daniel Hennes; Jerome T. Connor; Karl Tuyls (J. Artif. Intell. Res., 2022)

Figure Data for the paper "Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning". - Julien Pérolat; Bart De Vylder; Daniel Hennes; Eugene Tarassov; Florian Strub; Vincent de Boer; Paul Muller; Jerome T. Connor; Neil Burch; Thomas Anthony 001; Stephen McAleer; Romuald Elie; et al. (Zenodo, 2022)

TacticAI: an AI assistant for football tactics. - Zhe Wang 055; Petar Velickovic; Daniel Hennes; Nenad Tomasev; Laurel Prince; Michael Kaisers; Yoram Bachrach; Romuald Elie; Li Kevin Wenliang; Federico Piccinini; William Spearman; Ian Graham; et al. (CoRR, 2023)