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Kelsey Allen
Kelsey Allen
Research Scientist, DeepMind
Verified email at deepmind.com
Title
Cited by
Cited by
Year
Relational inductive biases, deep learning, and graph networks
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
32782018
Search for high-mass dilepton resonances in pp collisions at s√= 8 TeV with the ATLAS detector
A Cerri, C Chavez Barajas, ZJ Grout, CT Potter, I Santoyo Castillo, ...
Physical Review D 90 (5), 052005, 2014
7332014
End-to-end differentiable physics for learning and control
F de Avila Belbute-Peres, K Smith, K Allen, J Tenenbaum, JZ Kolter
Advances in Neural Information Processing Systems, 7178-7189, 2018
3962018
End-to-end differentiable physics for learning and control
F de Avila Belbute-Peres, K Smith, K Allen, J Tenenbaum, JZ Kolter
Advances in Neural Information Processing Systems, 7178-7189, 2018
3962018
Differentiable Physics and Stable Modes for Tool-Use and Manipulation Planning.
M Toussaint, K Allen, KA Smith, JB Tenenbaum
Robotics: Science and Systems, 2018
2932018
Infinite Mixture Prototypes for Few-Shot Learning
KR Allen, E Shelhamer, H Shin, JB Tenenbaum
arXiv preprint arXiv:1902.04552, 2019
2702019
Relational inductive biases, deep learning, and graph networks. arXiv 2018
PW Battaglia, JB Hamrick, V Bapst, A Sanchez-Gonzalez, V Zambaldi, ...
arXiv preprint arXiv:1806.01261, 2018
1642018
Residual Policy Learning
T Silver, K Allen, J Tenenbaum, L Kaelbling
arXiv preprint arXiv:1812.06298, 2018
1572018
Relational inductive bias for physical construction in humans and machines
JB Hamrick, KR Allen, V Bapst, T Zhu, KR McKee, JB Tenenbaum, ...
arXiv preprint arXiv:1806.01203, 2018
1232018
Rapid trial-and-error learning with simulation supports flexible tool use and physical reasoning
KR Allen, KA Smith, JB Tenenbaum
Proceedings of the National Academy of Sciences 117 (47), 29302-29310, 2020
1002020
Detecting disagreement in conversations using pseudo-monologic rhetorical structure
K Allen, G Carenini, R Ng
Proceedings of the 2014 Conference on Empirical Methods in Natural Language …, 2014
462014
Few-Shot Bayesian Imitation Learning with Logic over Programs
T Silver, KR Allen, AK Lew, LP Kaelbling, J Tenenbaum
arXiv preprint arXiv:1904.06317, 2019
41*2019
Interactions Increase Forager Availability and Activity in Harvester Ants
E Pless, J Queirolo, N Pinter-Wollman, S Crow, K Allen, MB Mathur, ...
PloS one 10 (11), e0141971, 2015
322015
Physical Design using Differentiable Learned Simulators
KR Allen, T Lopez-Guevara, K Stachenfeld, A Sanchez-Gonzalez, ...
arXiv preprint arXiv:2202.00728, 2022
302022
The Tools Challenge: Rapid Trial-and-Error Learning in Physical Problem Solving
KR Allen, KA Smith, JB Tenenbaum
arXiv preprint arXiv:1907.09620, 2019
252019
Learning rigid dynamics with face interaction graph networks
KR Allen, Y Rubanova, T Lopez-Guevara, W Whitney, ...
arXiv preprint arXiv:2212.03574, 2022
172022
Graph network simulators can learn discontinuous, rigid contact dynamics
KR Allen, TL Guevara, Y Rubanova, K Stachenfeld, A Sanchez-Gonzalez, ...
6th Annual Conference on Robot Learning, 2022
172022
Learning constraint-based planning models from demonstrations
J Loula, K Allen, T Silver, J Tenenbaum
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
142020
Ogre: An object-based generalization for reasoning environment
KR Allen, A Bakhtin, K Smith, JB Tenenbaum, L van der Maaten
NeurIPS Workshop on Object Representations for Learning and Reasoning, 2020
92020
Go fishing! Responsibility judgments when cooperation breaks down.
K Allen, J Jara-Ettinger, T Gerstenberg, M Kleiman-Weiner, ...
CogSci, 2015
92015
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