Marta Garnelo - RankMe

30 papers A* 4A 2Journal 20Unranked 3

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Exploring the Space of Key-Value-Query Models with Intention. CoRR Marta Garnelo, Wojciech Marian Czarnecki
2021	A	`conf`	A Limited-Capacity Minimax Theorem for Non-Convex Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. AISTATS Gauthier Gidel, David Balduzzi, Wojciech Czarnecki, Marta Garnelo, Yoram Bachrach
2021	A*	`conf`	A Neural Network Auction For Group Decision Making Over a Continuous Space. IJCAI Yoram Bachrach, Ian Gemp, Marta Garnelo, János Kramár, Tom Eccles, Dan Rosenbaum, Thore Graepel
2021	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. J. Artif. Intell. Res. 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
2021	—	`conf`	Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. NAACL-HLT Roma Patel, Marta Garnelo, Ian Gemp, Chris Dyer, Yoram Bachrach
2021	—	`—`	Incorporating prior knowledge into deep neural networks without handcrafted features Marta Garnelo
2021	J	`jnl`	Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. CoRR Dan Rosenbaum, Marta Garnelo, Michal Zielinski, Charlie Beattie, Ellen Clancy, Andrea Huber, Pushmeet Kohli, Andrew W. Senior, John Jumper, Carl Doersch, S. M. Ali Eslami, Olaf Ronneberger, Jonas Adler
2021	A	`conf`	Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. AAMAS Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
2021	J	`jnl`	Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. CoRR Marta Garnelo, Wojciech Marian Czarnecki, Siqi Liu, Dhruva Tirumala, Junhyuk Oh, Gauthier Gidel, Hado van Hasselt, David Balduzzi
2021	J	`jnl`	Time-series Imputation of Temporally-occluded Multiagent Trajectories. CoRR Shayegan Omidshafiei, Daniel Hennes, Marta Garnelo, Eugene Tarassov, Zhe Wang, Romuald Elie, Jerome T. Connor, Paul Muller, Ian Graham, William Spearman, Karl Tuyls
2020	J	`jnl`	AlignNet: Unsupervised Entity Alignment. CoRR Antonia Creswell, Kyriacos Nikiforou, Oriol Vinyals, Andre Saraiva, Rishabh Kabra, Loic Matthey, Chris Burgess, Malcolm Reynolds, Richard Tanburn, Marta Garnelo, Murray Shanahan
2020	A*	`conf`	An Explicitly Relational Neural Network Architecture. ICML Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David G. T. Barrett, Marta Garnelo
2020	J	`jnl`	Game Plan: What AI can do for Football, and What Football can do for AI. CoRR 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
2020	J	`jnl`	Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. CoRR Gauthier Gidel, David Balduzzi, Wojciech Marian Czarnecki, Marta Garnelo, Yoram Bachrach
2019	J	`jnl`	A Neural Architecture for Designing Truthful and Efficient Auctions. CoRR Andrea Tacchetti, DJ Strouse, Marta Garnelo, Thore Graepel, Yoram Bachrach
2019	—	`conf`	Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. ICLR (Poster) Tiago Ramalho, Marta Garnelo
2019	J	`jnl`	Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. CoRR Tiago Ramalho, Marta Garnelo
2019	J	`jnl`	An Explicitly Relational Neural Network Architecture. CoRR Murray Shanahan, Kyriacos Nikiforou, Antonia Creswell, Christos Kaplanis, David Barrett, Marta Garnelo
2019	—	`conf`	Attentive Neural Processes. ICLR (Poster) Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Attentive Neural Processes. CoRR Hyunjik Kim, Andriy Mnih, Jonathan Schwarz, Marta Garnelo, S. M. Ali Eslami, Dan Rosenbaum, Oriol Vinyals, Yee Whye Teh
2019	J	`jnl`	Meta-Learning surrogate models for sequential decision making. CoRR Alexandre Galashov, Jonathan Schwarz, Hyunjik Kim, Marta Garnelo, David Saxton, Pushmeet Kohli, S. M. Ali Eslami, Yee Whye Teh
2019	J	`jnl`	Open-ended Learning in Symmetric Zero-sum Games. CoRR David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech M. Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
2019	A*	`conf`	Open-ended learning in symmetric zero-sum games. ICML David Balduzzi, Marta Garnelo, Yoram Bachrach, Wojciech Czarnecki, Julien Pérolat, Max Jaderberg, Thore Graepel
2018	A*	`conf`	Conditional Neural Processes. ICML Marta Garnelo, Dan Rosenbaum, Christopher Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo Jimenez Rezende, S. M. Ali Eslami
2018	J	`jnl`	Conditional Neural Processes. CoRR Marta Garnelo, Dan Rosenbaum, Chris J. Maddison, Tiago Ramalho, David Saxton, Murray Shanahan, Yee Whye Teh, Danilo J. Rezende, S. M. Ali Eslami
2018	J	`jnl`	Consistent Generative Query Networks. CoRR Ananya Kumar, S. M. Ali Eslami, Danilo J. Rezende, Marta Garnelo, Fabio Viola, Edward Lockhart, Murray Shanahan
2018	J	`jnl`	Neural Processes. CoRR Marta Garnelo, Jonathan Schwarz, Dan Rosenbaum, Fabio Viola, Danilo J. Rezende, S. M. Ali Eslami, Yee Whye Teh
2018	J	`jnl`	Verification of deep probabilistic models. CoRR Krishnamurthy Dvijotham, Marta Garnelo, Alhussein Fawzi, Pushmeet Kohli
2016	J	`jnl`	Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. CoRR Nat Dilokthanakul, Pedro A. M. Mediano, Marta Garnelo, Matthew C. H. Lee, Hugh Salimbeni, Kai Arulkumaran, Murray Shanahan
2016	J	`jnl`	Towards Deep Symbolic Reinforcement Learning. CoRR Marta Garnelo, Kai Arulkumaran, Murray Shanahan