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Jakub Sygnowski
Jakub Sygnowski
DeepMind
Verified email at students.mimuw.edu.pl
Title
Cited by
Cited by
Year
Gemini: A family of highly capable multimodal models
G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ...
arXiv preprint arXiv:2312.11805, 2023
22132023
Meta-Learning with Latent Embedding Optimization
AA Rusu, D Rao, J Sygnowski, O Vinyals, R Pascanu, S Osindero, ...
arXiv preprint arXiv:1807.05960, 2018
16732018
Theano: A Python framework for fast computation of mathematical expressions
R Al-Rfou, G Alain, A Almahairi, C Angermueller, D Bahdanau, N Ballas, ...
arXiv preprint arXiv:1605.02688 472, 473, 2016
11082016
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ...
arXiv preprint arXiv:2403.05530, 2024
6792024
Open-ended learning leads to generally capable agents
OEL Team, A Stooke, A Mahajan, C Barros, C Deck, J Bauer, J Sygnowski, ...
arXiv preprint arXiv:2107.12808, 2021
1672021
Task Agnostic Continual Learning via Meta Learning
X He, J Sygnowski, A Galashov, AA Rusu, YW Teh, R Pascanu
arXiv preprint arXiv:1906.05201, 2019
1182019
Human-Timescale Adaptation in an Open-Ended Task Space
AA Team, J Bauer, K Baumli, S Baveja, F Behbahani, A Bhoopchand, ...
arXiv preprint arXiv:2301.07608, 2023
752023
Meta-learning by the baldwin effect
C Fernando, J Sygnowski, S Osindero, J Wang, T Schaul, D Teplyashin, ...
Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018
502018
Regularized behavior value estimation
C Gulcehre, SG Colmenarejo, Z Wang, J Sygnowski, T Paine, K Zolna, ...
arXiv preprint arXiv:2103.09575, 2021
37*2021
An Empirical Study of Implicit Regularization in Deep Offline RL
C Gulcehre, S Srinivasan, J Sygnowski, G Ostrovski, M Farajtabar, ...
arXiv preprint arXiv:2207.02099, 2022
182022
Sequential changepoint detection in neural networks with checkpoints
MK Titsias, J Sygnowski, Y Chen
Statistics and Computing 32 (2), 1-19, 2022
162022
Learning from the memory of Atari 2600
J Sygnowski, H Michalewski
Computer Games, 71-85, 2016
152016
Importance Weighted Policy Learning and Adaptation
A Galashov, J Sygnowski, G Desjardins, J Humplik, L Hasenclever, ...
arXiv preprint arXiv:2009.04875, 2020
42020
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