Tiago Ramalho
Tiago Ramalho
Google DeepMind
確認したメール アドレス: tum.de
タイトル引用先
Overcoming catastrophic forgetting in neural networks
J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the national academy of sciences 114 (13), 3521-3526, 2017
7482017
Hybrid computing using a neural network with dynamic external memory
A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ...
Nature 538 (7626), 471, 2016
7102016
Conditional neural processes
M Garnelo, D Rosenbaum, CJ Maddison, T Ramalho, D Saxton, ...
arXiv preprint arXiv:1807.01613, 2018
742018
The phosphorylation flow of the Vibrio harveyi quorum-sensing cascade determines levels of phenotypic heterogeneity in the population
L Plener, N Lorenz, M Reiger, T Ramalho, U Gerland, K Jung
Journal of bacteriology 197 (10), 1747-1756, 2015
332015
Single cell analysis of a bacterial sender-receiver system
T Ramalho, A Meyer, A Mückl, K Kapsner, U Gerland, FC Simmel
PloS one 11 (1), e0145829, 2016
182016
Simulation of stochastic network dynamics via entropic matching
T Ramalho, M Selig, U Gerland, TA Ensslin
Physical Review E 87 (2), 022719, 2013
82013
Reply to Huszár: The elastic weight consolidation penalty is empirically valid
J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ...
Proceedings of the National Academy of Sciences 115 (11), E2498-E2498, 2018
52018
Adaptive Posterior Learning: few-shot learning with a surprise-based memory module
T Ramalho, M Garnelo
arXiv preprint arXiv:1902.02527, 2019
42019
Encoding Spatial Relations from Natural Language
T Ramalho, T Kociský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ...
arXiv preprint arXiv:1807.01670, 2018
22018
An empirical study of pretrained representations for few-shot classification
T Ramalho, T Sousbie, S Peluchetti
arXiv preprint arXiv:1910.01319, 2019
2019
Density estimation in representation space to predict model uncertainty
T Ramalho, M Miranda
arXiv preprint arXiv:1908.07235, 2019
2019
Information Processing in Biology: A Study on Signaling and Emergent Computation
T Ramalho
Ludwig-Maximilians-Universität München, 2015
2015
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