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 | 8167 | 2017 |
Hybrid computing using a neural network with dynamic external memory A Graves, G Wayne, M Reynolds, T Harley, I Danihelka, ... Nature 538 (7626), 471-476, 2016 | 1985 | 2016 |
Conditional neural processes M Garnelo, D Rosenbaum, C Maddison, T Ramalho, D Saxton, ... International conference on machine learning, 1704-1713, 2018 | 813 | 2018 |
Adaptive posterior learning: few-shot learning with a surprise-based memory module T Ramalho, M Garnelo arXiv preprint arXiv:1902.02527, 2019 | 107 | 2019 |
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 | 63 | 2015 |
Density estimation in representation space to predict model uncertainty T Ramalho, M Miranda Engineering Dependable and Secure Machine Learning Systems: Third …, 2020 | 36 | 2020 |
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 | 35 | 2016 |
Grabska-Barwi nska A Graves, G Wayne, M Reynolds, T Harley, I Danihelka A., Colmenarejo, SG, Grefenstette, E., Ramalho, T., Agapiou, J., et al, 471-476, 2016 | 31 | 2016 |
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 | 21 | 2018 |
Encoding spatial relations from natural language T Ramalho, T Kočiský, F Besse, SM Eslami, G Melis, F Viola, P Blunsom, ... arXiv preprint arXiv:1807.01670, 2018 | 17* | 2018 |
Simulation of stochastic network dynamics via entropic matching T Ramalho, M Selig, U Gerland, TA Ensslin Physical Review E—Statistical, Nonlinear, and Soft Matter Physics 87 (2 …, 2013 | 13 | 2013 |
Neural network systems implementing conditional neural processes for efficient learning TMSP Ramalho, D Rosenbaum, M Garnelo, C Maddison, SM Eslami, ... US Patent App. 16/968,336, 2021 | 8 | 2021 |
An empirical study of pretrained representations for few-shot classification T Ramalho, T Sousbie, S Peluchetti arXiv preprint arXiv:1910.01319, 2019 | 7 | 2019 |
Programmable pattern formation in cellular systems with local signaling T Ramalho, S Kremser, H Wu, U Gerland Communications Physics 4 (1), 140, 2021 | 4 | 2021 |
Information processing in biology: A study on signaling and emergent computation T Ramalho Universitätsbibliothek der Ludwig-Maximilians-Universität, 2015 | 1 | 2015 |