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Patrick Riley
Patrick Riley
Relay Therapeutics
Email confirmado em relaytx.com
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Citado por
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Ano
Neural message passing for quantum chemistry
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
International conference on machine learning, 1263-1272, 2017
39772017
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
11432016
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
4812017
Massively multitask networks for drug discovery
B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande
arXiv preprint arXiv:1502.02072, 2015
4792015
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
3642018
Optimization of molecules via deep reinforcement learning
Z Zhou, S Kearnes, L Li, RN Zare, P Riley
Scientific reports 9 (1), 1-10, 2019
3152019
Proceedings of the 34th International Conference on Machine Learning
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
PMLR 70, 1263-1272, 2017
1332017
Spades-a distributed agent simulation environment with software-in-the-loop execution
PF Riley, GF Riley
Georgia Institute of Technology, 2003
1282003
The CMUnited-99 champion simulator team
P Stone, P Riley, M Veloso
Robot Soccer World Cup, 35-48, 1999
1261999
The CMUnited-98 champion simulator team
P Stone, M Veloso, P Riley
Robot Soccer World Cup, 61-76, 1998
1141998
On behavior classification in adversarial environments
P Riley, M Veloso
Distributed autonomous robotic systems 4, 371-380, 2000
1112000
Three pitfalls to avoid in machine learning
P Riley
Nature 572 (7767), 27-29, 2019
982019
Defining and using ideal teammate and opponent agent models
P Stone, P Riley, M Veloso
AAAI/IAAI, 1040-1045, 2000
872000
Planning for Distributed Execution through Use of Probabilistic Opponent Models.
P Riley, MM Veloso
AIPS, 72-82, 2002
822002
Recognizing probabilistic opponent movement models
P Riley, M Veloso
Robot Soccer World Cup, 453-458, 2001
792001
A Bayesian experimental autonomous researcher for mechanical design
AE Gongora, B Xu, W Perry, C Okoye, P Riley, KG Reyes, EF Morgan, ...
Science advances 6 (15), eaaz1708, 2020
772020
Kohn-Sham equations as regularizer: Building prior knowledge into machine-learned physics
L Li, S Hoyer, R Pederson, R Sun, ED Cubuk, P Riley, K Burke
Physical review letters 126 (3), 036401, 2021
682021
Deep diversification of an AAV capsid protein by machine learning
DH Bryant, A Bashir, S Sinai, NK Jain, PJ Ogden, PF Riley, GM Church, ...
Nature Biotechnology 39 (6), 691-696, 2021
652021
An empirical study of coaching
P Riley, M Veloso, G Kaminka
Distributed Autonomous Robotic Systems 5, 215-224, 2002
652002
Quantum optimization with a novel gibbs objective function and ansatz architecture search
L Li, M Fan, M Coram, P Riley, S Leichenauer
Physical Review Research 2 (2), 023074, 2020
542020
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