Deep Unsupervised Clustering with Gaussian Mixture Variational Autoencoders. - Nat Dilokthanakul; Pedro A. M. Mediano; Marta Garnelo; Matthew C. H. Lee; Hugh Salimbeni; Kai Arulkumaran; Murray Shanahan (CoRR, 2016)

Towards Deep Symbolic Reinforcement Learning. - Marta Garnelo; Kai Arulkumaran; Murray Shanahan (CoRR, 2016)

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

Neural Processes. - Marta Garnelo; Jonathan Schwarz; Dan Rosenbaum; Fabio Viola; Danilo J. Rezende; S. M. Ali Eslami; Yee Whye Teh (CoRR, 2018)

Consistent Generative Query Networks. - Ananya Kumar; S. M. Ali Eslami; Danilo J. Rezende; Marta Garnelo; Fabio Viola; Edward Lockhart; Murray Shanahan (CoRR, 2018)

Verification of deep probabilistic models. - Krishnamurthy Dvijotham; Marta Garnelo; Alhussein Fawzi; Pushmeet Kohli (CoRR, 2018)

Attentive Neural Processes. - Hyunjik Kim; Andriy Mnih; Jonathan Schwarz; Marta Garnelo; S. M. Ali Eslami; Dan Rosenbaum; Oriol Vinyals; Yee Whye Teh (ICLR (Poster), 2019)

Adaptive Posterior Learning: few-shot learning with a surprise-based memory module. - Tiago Ramalho; Marta Garnelo (ICLR (Poster), 2019)

Open-ended learning in symmetric zero-sum games. - David Balduzzi; Marta Garnelo; Yoram Bachrach; Wojciech Czarnecki 001; Julien Pérolat; Max Jaderberg; Thore Graepel (ICML, 2019)

Meta-Learning surrogate models for sequential decision making. - Alexandre Galashov; Jonathan Schwarz; Hyunjik Kim; Marta Garnelo; David Saxton; Pushmeet Kohli; S. M. Ali Eslami; Yee Whye Teh (CoRR, 2019)

A Neural Architecture for Designing Truthful and Efficient Auctions. - Andrea Tacchetti; DJ Strouse; Marta Garnelo; Thore Graepel; Yoram Bachrach (CoRR, 2019)

An Explicitly Relational Neural Network Architecture. - Murray Shanahan; Kyriacos Nikiforou; Antonia Creswell; Christos Kaplanis; David G. T. Barrett; Marta Garnelo (ICML, 2020)

Minimax Theorem for Latent Games or: How I Learned to Stop Worrying about Mixed-Nash and Love Neural Nets. - Gauthier Gidel; David Balduzzi; Wojciech Marian Czarnecki; Marta Garnelo; Yoram Bachrach (CoRR, 2020)

AlignNet: Unsupervised Entity Alignment. - Antonia Creswell; Kyriacos Nikiforou; Oriol Vinyals; Andre Saraiva 001; Rishabh Kabra; Loic Matthey; Chris Burgess 001; Malcolm Reynolds; Richard Tanburn; Marta Garnelo; Murray Shanahan (CoRR, 2020)

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 001; Marta Garnelo; Yoram Bachrach (AISTATS, 2021)

Pick Your Battles: Interaction Graphs as Population-Level Objectives for Strategic Diversity. - Marta Garnelo; Wojciech Marian Czarnecki; Siqi Liu 002; Dhruva Tirumala; Junhyuk Oh; Gauthier Gidel; Hado van Hasselt; David Balduzzi (AAMAS, 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 (IJCAI, 2021)

Game-theoretic Vocabulary Selection via the Shapley Value and Banzhaf Index. - Roma Patel; Marta Garnelo; Ian Gemp; Chris Dyer; Yoram Bachrach (NAACL-HLT, 2021)

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)

Inferring a Continuous Distribution of Atom Coordinates from Cryo-EM Images using VAEs. - 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; et al. (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)

Incorporating prior knowledge into deep neural networks without handcrafted features - Marta Garnelo (2021)

Exploring the Space of Key-Value-Query Models with Intention. - Marta Garnelo; Wojciech Marian Czarnecki (CoRR, 2023)