Jacob Menick
Jacob Menick
Verified email at google.com
Title
Cited by
Cited by
Year
Noisy networks for exploration
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 2017
3602017
Automated curriculum learning for neural networks
A Graves, MG Bellemare, J Menick, R Munos, K Kavukcuoglu
arXiv preprint arXiv:1704.03003, 2017
2142017
Generating high fidelity images with subscale pixel networks and multidimensional upscaling
J Menick, N Kalchbrenner
arXiv preprint arXiv:1812.01608, 2018
462018
Rigging the lottery: Making all tickets winners
U Evci, T Gale, J Menick, PS Castro, E Elsen
arXiv preprint arXiv:1911.11134, 2019
232019
Multiplicative interactions and where to find them
SM Jayakumar, WM Czarnecki, J Menick, J Schwarz, J Rae, S Osindero, ...
International Conference on Learning Representations, 2019
142019
Associative compression networks
A Graves, J Menick, A van den Oord
arXiv preprint arXiv:1804.02476, 2018
72018
Noisy networks for exploration. arXiv 2017
M Fortunato, MG Azar, B Piot, J Menick, I Osband, A Graves, V Mnih, ...
arXiv preprint arXiv:1706.10295, 0
6
Associative compression networks for representation learning
A Graves, J Menick, A Oord
arXiv preprint arXiv:1804.02476, 2018
42018
A Practical Sparse Approximation for Real Time Recurrent Learning
J Menick, E Elsen, U Evci, S Osindero, K Simonyan, A Graves
arXiv preprint arXiv:2006.07232, 2020
22020
Image generation using subscaling and depth up-scaling
NE Kalchbrenner, JL Menick
US Patent 10,713,755, 2020
2020
Noisy neural network layers
O Pietquin, JL Menick, MG Azar, B Piot, V Mnih, C Blundell, M Fortunato, ...
US Patent App. 16/439,026, 2019
2019
Training machine learning models
M Gendron-Bellemare, JL Menick, AB Graves, K Kavukcuoglu, R Munos
US Patent App. 16/508,042, 2019
2019
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