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Marc Vuffray
Marc Vuffray
Staff Research Scientist, Los Alamos National Laboratory
Verified email at lanl.gov - Homepage
Title
Cited by
Cited by
Year
Quantum algorithm implementations for beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ...
arXiv e-prints, arXiv: 1804.03719, 2018
187*2018
Interaction screening: Efficient and sample-optimal learning of Ising models
M Vuffray, S Misra, A Lokhov, M Chertkov
Advances in neural information processing systems 29, 2016
1012016
Stationary solutions of the Schrödinger-Newton model---an ODE approach
P Choquard, J Stubbe, M Vuffray
Differential and integral equations 21 (7-8), 665-679, 2008
832008
Optimal structure and parameter learning of Ising models
AY Lokhov, M Vuffray, S Misra, M Chertkov
Science advances 4 (3), e1700791, 2018
732018
Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows
M Vuffray, S Misra, M Chertkov
2015 54th IEEE conference on decision and control (CDC), 4571-4578, 2015
36*2015
Approaching the rate-distortion limit with spatial coupling, belief propagation, and decimation
V Aref, N Macris, M Vuffray
IEEE Transactions on Information Theory 61 (7), 3954-3979, 2015
362015
Lossy source coding via spatially coupled LDGM ensembles
V Aref, N Macris, R Urbanke, M Vuffray
2012 IEEE International Symposium on Information Theory Proceedings, 373-377, 2012
282012
Graphical models for optimal power flow
K Dvijotham, M Chertkov, P Van Hentenryck, M Vuffray, S Misra
Constraints 22 (1), 24-49, 2017
262017
Efficient learning of discrete graphical models
M Vuffray, S Misra, AY Lokhov
Journal of Statistical Mechanics: Theory and Experiment 2021 (12), 124017, 2022
202022
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
192018
Monotonicity of actuated flows on dissipative transport networks
A Zlotnik, S Misra, M Vuffray, M Chertkov
2016 European Control Conference (ECC), 831-836, 2016
172016
Information theoretic optimal learning of gaussian graphical models
S Misra, M Vuffray, AY Lokhov
Conference on Learning Theory, 2888-2909, 2020
16*2020
Advances in Neural Information Processing Systems
M Vuffray, S Misra, A Lokhov, M Chertkov
Red Hook, NY: Curran and Associates, 2595-603, 2016
122016
Natural gas flow solutions with guarantees: A monotone operator theory approach
K Dvijotham, M Vuffray, S Misra, M Chertkov
arXiv preprint arXiv:1506.06075, 2015
122015
Real-time anomaly detection and classification in streaming PMU data
C Hannon, D Deka, D Jin, M Vuffray, AY Lokhov
2021 IEEE Madrid PowerTech, 1-6, 2021
112021
Fast and robust determination of power system emergency control actions
S Misra, L Roald, M Vuffray, M Chertkov
arXiv preprint arXiv:1707.07105, 2017
92017
Monotonicity properties of physical network flows and application to robust optimal allocation
S Misra, M Vuffray, A Zlotnik
Proceedings of the IEEE 108 (9), 1558-1579, 2020
82020
The potential of quantum annealing for rapid solution structure identification
Y Pang, C Coffrin, AY Lokhov, M Vuffray
Constraints 26 (1), 1-25, 2021
72021
Efficient polynomial chaos expansion for uncertainty quantification in power systems
D Métivier, M Vuffray, S Misra
Electric Power Systems Research 189, 106791, 2020
72020
Monotone order properties for control of nonlinear parabolic PDE on graphs
S Misra, M Vuffray, A Zlotnik, M Chertkov
arXiv preprint arXiv:1601.05102, 2016
72016
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