| 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 | 1700 | 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 | 1119 | 2016 |
| Progress & compress: A scalable framework for continual learning J Schwarz, W Czarnecki, J Luketina, A Grabska-Barwinska, YW Teh, ... International Conference on Machine Learning, 4528-4537, 2018 | 223 | 2018 |
| Unsupervised predictive memory in a goal-directed agent G Wayne, CC Hung, D Amos, M Mirza, A Ahuja, A Grabska-Barwinska, ... arXiv preprint arXiv:1803.10760, 2018 | 106 | 2018 |
| Unveiling the predictive power of static structure in glassy systems V Bapst, T Keck, A Grabska-Barwińska, C Donner, ED Cubuk, ... Nature Physics 16 (4), 448-454, 2020 | 42 | 2020 |
| Establishment of a scaffold for orientation maps in primary visual cortex of higher mammals A Grabska-Barwińska, C von der Malsburg Journal of Neuroscience 28 (1), 249-257, 2008 | 37 | 2008 |
| A probabilistic approach to demixing odors A Grabska-Barwińska, S Barthelmé, J Beck, ZF Mainen, A Pouget, ... Nature neuroscience 20 (1), 98-106, 2017 | 32 | 2017 |
| Episodic memory in lifelong language learning CM d'Autume, S Ruder, L Kong, D Yogatama arXiv preprint arXiv:1906.01076, 2019 | 28 | 2019 |
| Orientation selective or not?–Measuring significance of tuning to a circular parameter A Grabska-Barwińska, BSW Ng, D Jancke Journal of neuroscience methods 203 (1), 1-9, 2012 | 22 | 2012 |
| Dominant vertical orientation processing without clustered maps: early visual brain dynamics imaged with voltage-sensitive dye in the pigeon visual Wulst BSW Ng, A Grabska-Barwińska, O Güntürkün, D Jancke Journal of Neuroscience 30 (19), 6713-6725, 2010 | 21 | 2010 |
| Demixing odors—fast inference in olfaction A Grabska-Barwinska, JM Beck, A Pouget, PE Latham Advances in Neural Information Processing Systems 26 (NIPS 2013), 2013 | 16 | 2013 |
| Contrast independence of cardinal preference: stable oblique effect in orientation maps of ferret visual cortex A Grabska‐Barwińska, C Distler, KP Hoffmann, D Jancke European Journal of Neuroscience 29 (6), 1258-1270, 2009 | 15 | 2009 |
| Online learning with gated linear networks J Veness, T Lattimore, A Bhoopchand, A Grabska-Barwinska, C Mattern, ... arXiv preprint arXiv:1712.01897, 2017 | 14 | 2017 |
| A model of event-related EEG synchronization changes in beta and gamma frequency bands A Grabska-Barwińska, J Żygierewicz Journal of theoretical biology 238 (4), 901-913, 2006 | 13 | 2006 |
| 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 | 11 | 2018 |
| Nasal chemosensory-stimulation evoked activity patterns in the rat trigeminal ganglion visualized by in vivo voltage-sensitive dye imaging M Rothermel, BSW Ng, A Grabska-Barwińska, H Hatt, D Jancke PLoS One 6 (10), e26158, 2011 | 11 | 2011 |
| Overcoming catastrophic forgetting in neural networks (2016) J Kirkpatrick, R Pascanu, N Rabinowitz, J Veness, G Desjardins, AA Rusu, ... URL http://arxiv. org/abs/1612.00796. cite arxiv 1612, 0 | 11 | |
| How well do mean field theories of spiking quadratic-integrate-and-fire networks work in realistic parameter regimes? A Grabska-Barwińska, PE Latham Journal of computational neuroscience 36 (3), 469-481, 2014 | 10 | 2014 |
| Gated linear networks J Veness, T Lattimore, D Budden, A Bhoopchand, C Mattern, ... arXiv preprint arXiv:1910.01526, 2019 | 5 | 2019 |
| Optimal prior-dependent neural population codes under shared input noise JW Pillow Advances in neural information processing systems 27, 1880-1888, 2014 | 4 | 2014 |
Joel VenessGoogle DeepMindVerifierad e-postadress på google.com
