Patrick Riley
Patrick Riley
Relay Therapeutics
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Cited by
Cited by
Neural message passing for quantum chemistry
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
International Conference on Machine Learning, 1263-1272, 2017
Molecular graph convolutions: moving beyond fingerprints
S Kearnes, K McCloskey, M Berndl, V Pande, P Riley
Journal of computer-aided molecular design 30 (8), 595-608, 2016
Prediction errors of molecular machine learning models lower than hybrid DFT error
FA Faber, L Hutchison, B Huang, J Gilmer, SS Schoenholz, GE Dahl, ...
Journal of chemical theory and computation 13 (11), 5255-5264, 2017
Massively multitask networks for drug discovery
B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande
arXiv preprint arXiv:1502.02072, 2015
Design and philosophy of the bimasc, a highly dynamic biped
JW Hurst, JE Chestnutt, AA Rizzi
Proceedings 2007 IEEE International Conference on Robotics and Automation …, 2007
Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds
N Thomas, T Smidt, S Kearnes, L Yang, L Li, K Kohlhoff, P Riley
arXiv preprint arXiv:1802.08219, 2018
Optimization of molecules via deep reinforcement learning
Z Zhou, S Kearnes, L Li, RN Zare, P Riley
Scientific reports 9 (1), 1-10, 2019
AAM derived face representations for robust facial action recognition
S Lucey, I Matthews, C Hu, Z Ambadar, F De la Torre, J Cohn
7th International Conference on Automatic Face and Gesture Recognition …, 2006
Spades-a distributed agent simulation environment with software-in-the-loop execution
PF Riley, GF Riley
Georgia Institute of Technology, 2003
The CMUnited-99 champion simulator team
P Stone, P Riley, M Veloso
Robot Soccer World Cup, 35-48, 1999
The CMUnited-98 champion simulator team
P Stone, M Veloso, P Riley
Robot Soccer World Cup, 61-76, 1998
On behavior classification in adversarial environments
P Riley, M Veloso
Distributed autonomous robotic systems 4, 371-380, 2000
Defining and using ideal teammate and opponent agent models: A case study in robotic soccer
P Stone, P Riley, M Veloso
Proceedings Fourth International Conference on MultiAgent Systems, 441-442, 2000
Planning for Distributed Execution through Use of Probabilistic Opponent Models.
P Riley, MM Veloso
AIPS, 72-82, 2002
Recognizing probabilistic opponent movement models
P Riley, M Veloso
Robot Soccer World Cup, 453-458, 2001
Three pitfalls to avoid in machine learning
P Riley
Nature 572 (7767), 27-29, 2019
Proceedings of the 34th International Conference on Machine Learning
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
PMLR 70, 1263-1272, 2017
An empirical study of coaching
P Riley, M Veloso, G Kaminka
Distributed Autonomous Robotic Systems 5, 215-224, 2002
Layered disclosure: Revealing agents’ internals
P Riley, P Stone, M Veloso
International Workshop on Agent Theories, Architectures, and Languages, 61-72, 2000
Users manual: RoboCup soccer server manual for soccer server version 7.07 and later
M Chen, E Foroughi, F Heintz, S Kapetanakis, K Kostiadis, J Kummeneje, ...
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