Garnelo, Marta

9 publications

ICLRW 2022 Learning Truthful, Efficient, and Welfare Maximizing Auction Rules Andrea Tacchetti, Dj Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach

AISTATS 2021 A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying About Mixed-Nash and Love Neural Nets Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach

IJCAI 2021 A Neural Network Auction for Group Decision Making over a Continuous Space Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel

JAIR 2021 Game Plan: What AI Can Do for Football, and What Football Can Do for AI Karl Tuyls, Shayegan Omidshafiei, Paul Muller, Zhe Wang, Jerome T. Connor, Daniel Hennes, Ian Graham, William Spearman, Tim Waskett, Dafydd Steele, Pauline Luc, Adrià Recasens, Alexandre Galashov, Gregory Thornton, Romuald Elie, Pablo Sprechmann, Pol Moreno, Kris Cao, Marta Garnelo, Praneet Dutta, Michal Valko, Nicolas Heess, Alex Bridgland, Julien Pérolat, Bart De Vylder, S. M. Ali Eslami, Mark Rowland, Andrew Jaegle, Rémi Munos, Trevor Back, Razia Ahamed, Simon Bouton, Nathalie Beauguerlange, Jackson Broshear, Thore Graepel, Demis Hassabis

ICML 2020 An Explicitly Relational Neural Network Architecture Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo

ICLR 2019 Adaptive Posterior Learning: Few-Shot Learning with a Surprise-Based Memory Module Tiago Ramalho, Marta Garnelo

ICLR 2019 Attentive Neural Processes Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh

ICML 2019 Open-Ended Learning in Symmetric Zero-Sum Games David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Perolat, Max Jaderberg, Thore Graepel

ICML 2018 Conditional Neural Processes Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Rezende, S. M. Ali Eslami