Andrey Lokhov
Andrey Lokhov
Los Alamos National Laboratory, Theoretical Division
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Inferring the origin of an epidemic with a dynamic message-passing algorithm
AY Lokhov, M Mézard, H Ohta, L Zdeborová
Physical Review E 90 (1), 012801, 2014
Quantum algorithm implementations for beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ...
arXiv e-prints, arXiv: 1804.03719, 2018
Interaction screening: Efficient and sample-optimal learning of Ising models
M Vuffray, S Misra, AY Lokhov, M Chertkov
arXiv preprint arXiv:1605.07252, 2016
Discovering a transferable charge assignment model using machine learning
AE Sifain, N Lubbers, BT Nebgen, JS Smith, AY Lokhov, O Isayev, ...
The journal of physical chemistry letters 9 (16), 4495-4501, 2018
Transferable dynamic molecular charge assignment using deep neural networks
B Nebgen, N Lubbers, JS Smith, AE Sifain, A Lokhov, O Isayev, ...
Journal of chemical theory and computation 14 (9), 4687-4698, 2018
Optimal structure and parameter learning of Ising models
AY Lokhov, M Vuffray, S Misra, M Chertkov
Science advances 4 (3), e1700791, 2018
Dynamic message-passing equations for models with unidirectional dynamics
AY Lokhov, M Mézard, L Zdeborová
Physical Review E 91 (1), 012811, 2015
Optimal deployment of resources for maximizing impact in spreading processes
AY Lokhov, D Saad
Proceedings of the National Academy of Sciences 114 (39), E8138-E8146, 2017
Reconstructing parameters of spreading models from partial observations
AY Lokhov
Advances in Neural Information Processing Systems, 3467–3475, 2016
Online learning of power transmission dynamics
AY Lokhov, M Vuffray, D Shemetov, D Deka, M Chertkov
2018 Power Systems Computation Conference (PSCC), 1-7, 2018
Efficient learning of discrete graphical models
M Vuffray, S Misra, AY Lokhov
arXiv preprint arXiv:1902.00600, 2019
Detection of cyber-physical faults and intrusions from physical correlations
AY Lokhov, N Lemons, TC McAndrew, A Hagberg, S Backhaus
2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016
Information theoretic optimal learning of gaussian graphical models
S Misra, M Vuffray, AY Lokhov
Conference on Learning Theory, 2888-2909, 2020
Efficient reconstruction of transmission probabilities in a spreading process from partial observations
AY Lokhov, T Misiakiewicz
arXiv preprint arXiv:1509.06893, 2015
Advances in Neural Information Processing Systems 29 ed DD Lee
M Vuffray, S Misra, A Lokhov, M Chertkov
M Sugiyama, UV Luxburg, I Guyon and R Garnett (Curran Associates, Inc …, 2016
Dynamic cavity method and problems on graphs
AY Lokhov
Paris 11, 2014
Scalable influence estimation without sampling
AY Lokhov, D Saad
arXiv preprint arXiv:1912.12749, 2019
Real-time anomaly detection and classification in streaming PMU data
C Hannon, D Deka, D Jin, M Vuffray, AY Lokhov
arXiv preprint arXiv:1911.06316, 2019
The potential of quantum annealing for rapid solution structure identification
Y Pang, C Coffrin, AY Lokhov, M Vuffray
Constraints, 1-25, 2020
Phase transition in random planar diagrams and RNA-type matching
AY Lokhov, OV Valba, MV Tamm, SK Nechaev
Physical Review E 88 (5), 052117, 2013
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