Zobrazeno 1 - 10
of 92
pro vyhledávání: '"Kubilius, Jonas"'
Autor:
Mohanty, Sharada, Poonganam, Jyotish, Gaidon, Adrien, Kolobov, Andrey, Wulfe, Blake, Chakraborty, Dipam, Šemetulskis, Gražvydas, Schapke, João, Kubilius, Jonas, Pašukonis, Jurgis, Klimas, Linas, Hausknecht, Matthew, MacAlpine, Patrick, Tran, Quang Nhat, Tumiel, Thomas, Tang, Xiaocheng, Chen, Xinwei, Hesse, Christopher, Hilton, Jacob, Guss, William Hebgen, Genc, Sahika, Schulman, John, Cobbe, Karl
The NeurIPS 2020 Procgen Competition was designed as a centralized benchmark with clearly defined tasks for measuring Sample Efficiency and Generalization in Reinforcement Learning. Generalization remains one of the most fundamental challenges in dee
Externí odkaz:
http://arxiv.org/abs/2103.15332
Autor:
Gan, Chuang, Schwartz, Jeremy, Alter, Seth, Mrowca, Damian, Schrimpf, Martin, Traer, James, De Freitas, Julian, Kubilius, Jonas, Bhandwaldar, Abhishek, Haber, Nick, Sano, Megumi, Kim, Kuno, Wang, Elias, Lingelbach, Michael, Curtis, Aidan, Feigelis, Kevin, Bear, Daniel M., Gutfreund, Dan, Cox, David, Torralba, Antonio, DiCarlo, James J., Tenenbaum, Joshua B., McDermott, Josh H., Yamins, Daniel L. K.
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties in
Externí odkaz:
http://arxiv.org/abs/2007.04954
Autor:
Kubilius, Jonas, Schrimpf, Martin, Kar, Kohitij, Hong, Ha, Majaj, Najib J., Rajalingham, Rishi, Issa, Elias B., Bashivan, Pouya, Prescott-Roy, Jonathan, Schmidt, Kailyn, Nayebi, Aran, Bear, Daniel, Yamins, Daniel L. K., DiCarlo, James J.
Deep convolutional artificial neural networks (ANNs) are the leading class of candidate models of the mechanisms of visual processing in the primate ventral stream. While initially inspired by brain anatomy, over the past years, these ANNs have evolv
Externí odkaz:
http://arxiv.org/abs/1909.06161
Autor:
Nayebi, Aran, Bear, Daniel, Kubilius, Jonas, Kar, Kohitij, Ganguli, Surya, Sussillo, David, DiCarlo, James J., Yamins, Daniel L. K.
Feed-forward convolutional neural networks (CNNs) are currently state-of-the-art for object classification tasks such as ImageNet. Further, they are quantitatively accurate models of temporally-averaged responses of neurons in the primate brain's vis
Externí odkaz:
http://arxiv.org/abs/1807.00053
In large part, rodents see the world through their whiskers, a powerful tactile sense enabled by a series of brain areas that form the whisker-trigeminal system. Raw sensory data arrives in the form of mechanical input to the exquisitely sensitive, a
Externí odkaz:
http://arxiv.org/abs/1706.07555
Publikováno v:
In Cortex November 2015 72:5-14
Akademický článek
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Publikováno v:
Psychological Science, 2011 Oct 01. 22(10), 1296-1303.
Externí odkaz:
http://dx.doi.org/10.1177/0956797611417000
Akademický článek
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Autor:
Kubilius, Jonas1 jonas.kubilius@ppw.kuleuven.be, Bracci, Stefania1, Op de Beeck, Hans P.1 hans.opdebeeck@ppw.kuleuven.be
Publikováno v:
PLoS Computational Biology. 4/28/2016, Vol. 12 Issue 4, p1-26. 26p. 5 Graphs.