Marta Garnelo
Marta Garnelo
Research Scientist at DeepMind, PhD student at Imperial College London
Verified email at - Homepage
TitleCited byYear
Neural scene representation and rendering
SMA Eslami, DJ Rezende, F Besse, F Viola, AS Morcos, M Garnelo, ...
Science 360 (6394), 1204-1210, 2018
Deep unsupervised clustering with gaussian mixture variational autoencoders
N Dilokthanakul, PAM Mediano, M Garnelo, MCH Lee, H Salimbeni, ...
arXiv preprint arXiv:1611.02648, 2016
Towards deep symbolic reinforcement learning
M Garnelo, K Arulkumaran, M Shanahan
Deep Reinforcement Learning Workshop at the 30th Conference on Neural …, 2016
Interaction between tumour-infiltrating B cells and T cells controls the progression of hepatocellular carcinoma
M Garnelo, A Tan, Z Her, J Yeong, CJ Lim, J Chen, KH Lim, A Weber, ...
Gut 66 (2), 342-351, 2017
Conditional neural processes
M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ...
arXiv preprint arXiv:1807.01613, 2018
Neural processes
M Garnelo, J Schwarz, D Rosenbaum, F Viola, DJ Rezende, SM Eslami, ...
arXiv preprint arXiv:1807.01622, 2018
Attentive neural processes
H Kim, A Mnih, J Schwarz, M Garnelo, A Eslami, D Rosenbaum, O Vinyals, ...
arXiv preprint arXiv:1901.05761, 2019
Reconciling deep learning with symbolic artificial intelligence: representing objects and relations
M Garnelo, M Shanahan
Current Opinion in Behavioral Sciences 29, 17-23, 2019
Open-ended learning in symmetric zero-sum games
D Balduzzi, M Garnelo, Y Bachrach, WM Czarnecki, J Perolat, ...
arXiv preprint arXiv:1901.08106, 2019
Consistent generative query networks
A Kumar, SM Eslami, DJ Rezende, M Garnelo, F Viola, E Lockhart, ...
arXiv preprint arXiv:1807.02033, 2018
Verification of deep probabilistic models
K Dvijotham, M Garnelo, A Fawzi, P Kohli
arXiv preprint arXiv:1812.02795, 2018
Empirical Evaluation of Neural Process Objectives
TA Le, H Kim, M Garnelo, D Rosenbaum, J Schwarz, YW Teh
NeurIPS workshop on Bayesian Deep Learning, 2018
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
T Ramalho, M Garnelo
arXiv preprint arXiv:1902.02527, 2019
Meta-Learning surrogate models for sequential decision making
A Galashov, J Schwarz, H Kim, M Garnelo, D Saxton, P Kohli, SM Eslami, ...
arXiv preprint arXiv:1903.11907, 2019
An Explicitly Relational Neural Network Architecture
M Shanahan, K Nikiforou, A Creswell, C Kaplanis, D Barrett, M Garnelo
arXiv preprint arXiv:1905.10307, 2019
A Neural Architecture for Designing Truthful and Efficient Auctions
A Tacchetti, DJ Strouse, M Garnelo, T Graepel, Y Bachrach
arXiv preprint arXiv:1907.05181, 2019
Consistent Jumpy Predictions for Videos and Scenes
A Kumar, SMA Eslami, D Rezende, M Garnelo, F Viola, E Lockhart, ...
Variability and Reliabiltiy in Axon Growth Cone Navigation Decision Making
M Garnelo, SG Ricoult, D Juncker, TE Kennedy, AA Faisal
APS Meeting Abstracts, 2015
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Articles 1–18