no code implementations • 6 Dec 2021 • Alexander Lavin, David Krakauer, Hector Zenil, Justin Gottschlich, Tim Mattson, Johann Brehmer, Anima Anandkumar, Sanjay Choudry, Kamil Rocki, Atılım Güneş Baydin, Carina Prunkl, Brooks Paige, Olexandr Isayev, Erik Peterson, Peter L. McMahon, Jakob Macke, Kyle Cranmer, Jiaxin Zhang, Haruko Wainwright, Adi Hanuka, Manuela Veloso, Samuel Assefa, Stephan Zheng, Avi Pfeffer
We present the "Nine Motifs of Simulation Intelligence", a roadmap for the development and integration of the essential algorithms necessary for a merger of scientific computing, scientific simulation, and artificial intelligence.
no code implementations • 28 Sep 2018 • T. S. Jayram, Younes Bouhadjar, Ryan L. McAvoy, Tomasz Kornuta, Alexis Asseman, Kamil Rocki, Ahmet S. Ozcan
Typical neural networks with external memory do not effectively separate capacity for episodic and working memory as is required for reasoning in humans.
no code implementations • 24 Oct 2016 • Kamil Rocki, Tomasz Kornuta, Tegan Maharaj
We propose a novel method of regularization for recurrent neural networks called suprisal-driven zoneout.
no code implementations • 20 Oct 2016 • Tomasz Kornuta, Kamil Rocki
The paper focuses on the problem of learning saccades enabling visual object search.
2 code implementations • 11 Jul 2016 • Kamil Rocki
The following report introduces ideas augmenting standard Long Short Term Memory (LSTM) architecture with multiple memory cells per hidden unit in order to improve its generalization capabilities.
no code implementations • 27 Mar 2016 • Kamil Rocki
There exists a theory of a single general-purpose learning algorithm which could explain the principles of its operation.
no code implementations • 7 Dec 2015 • Kamil Rocki
There exists a theory of a single general-purpose learning algorithm which could explain the principles its operation.