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David Amos
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Journal Articles
- 2023
- [j4]Samuel Isuwa, David Amos, Amit Kumar Singh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Maximising mobile user experience through self-adaptive content- and ambient-aware display brightness scaling. J. Syst. Archit. 145: 103023 (2023) - 2020
- [j3]David Amos, John Asplund, Boris Brimkov, Randy Davila:
The Slater and sub-k-domination number of a graph with applications to domination and k-domination. Discuss. Math. Graph Theory 40(1): 209-225 (2020) - 2015
- [j2]David Amos, Yair Caro, Randy Davila, Ryan Pepper:
Upper bounds on the k-forcing number of a graph. Discret. Appl. Math. 181: 1-10 (2015) - 2014
- [j1]David Amos, Randy Davila, Ryan Pepper:
On the k-residue of disjoint unions of graphs with applications to k-independence. Discret. Math. 321: 24-34 (2014)
Conference and Workshop Papers
- 2023
- [c2]Samuel Isuwa, David Amos, Amit Kumar Singh, Bashir M. Al-Hashimi, Geoff V. Merrett:
Content- and Lighting-Aware Adaptive Brightness Scaling for Improved Mobile User Experience. DATE 2023: 1-2 - 2018
- [c1]Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette:
Can Neural Networks Understand Logical Entailment? ICLR (Poster) 2018
Informal and Other Publications
- 2018
- [i7]Joel Z. Leibo, Cyprien de Masson d'Autume, Daniel Zoran, David Amos, Charles Beattie, Keith Anderson, Antonio García Castañeda, Manuel Sanchez, Simon Green, Audrunas Gruslys, Shane Legg, Demis Hassabis, Matthew M. Botvinick:
Psychlab: A Psychology Laboratory for Deep Reinforcement Learning Agents. CoRR abs/1801.08116 (2018) - [i6]Richard Evans, David Saxton, David Amos, Pushmeet Kohli, Edward Grefenstette:
Can Neural Networks Understand Logical Entailment? CoRR abs/1802.08535 (2018) - [i5]Greg Wayne, Chia-Chun Hung, David Amos, Mehdi Mirza, Arun Ahuja, Agnieszka Grabska-Barwinska, Jack W. Rae, Piotr Mirowski, Joel Z. Leibo, Adam Santoro, Mevlana Gemici, Malcolm Reynolds, Tim Harley, Josh Abramson, Shakir Mohamed, Danilo Jimenez Rezende, David Saxton, Adam Cain, Chloe Hillier, David Silver, Koray Kavukcuoglu, Matthew M. Botvinick, Demis Hassabis, Timothy P. Lillicrap:
Unsupervised Predictive Memory in a Goal-Directed Agent. CoRR abs/1803.10760 (2018) - [i4]Luis Piloto, Ari Weinstein, Dhruva TB, Arun Ahuja, Mehdi Mirza, Greg Wayne, David Amos, Chia-Chun Hung, Matthew M. Botvinick:
Probing Physics Knowledge Using Tools from Developmental Psychology. CoRR abs/1804.01128 (2018) - [i3]Irina Higgins, David Amos, David Pfau, Sébastien Racanière, Loïc Matthey, Danilo J. Rezende, Alexander Lerchner:
Towards a Definition of Disentangled Representations. CoRR abs/1812.02230 (2018) - 2017
- [i2]Mevlana Gemici, Chia-Chun Hung, Adam Santoro, Greg Wayne, Shakir Mohamed, Danilo Jimenez Rezende, David Amos, Timothy P. Lillicrap:
Generative Temporal Models with Memory. CoRR abs/1702.04649 (2017) - 2016
- [i1]David Amos, John Asplund, Boris Brimkov, Randy Davila:
The sub-$k$-domination number of a graph with applications to $k$-domination. CoRR abs/1611.02379 (2016)
Coauthor Index
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