Marc Vuffray
Title
Cited by
Cited by
Year
Quantum Algorithm Implementations for Beginners
J Abhijith, A Adedoyin, J Ambrosiano, P Anisimov, A Bärtschi, W Casper, ...
arXiv, arXiv: 1804.03719, 2018
88*2018
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
702008
Interaction screening: Efficient and sample-optimal learning of Ising models
M Vuffray, S Misra, A Lokhov, M Chertkov
Advances in Neural Information Processing Systems, 2595-2603, 2016
652016
Optimal structure and parameter learning of Ising models
AY Lokhov, M Vuffray, S Misra, M Chertkov
Science advances 4 (3), e1700791, 2018
362018
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
302015
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
242012
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
222015
Graphical models for optimal power flow
K Dvijotham, M Chertkov, P Van Hentenryck, M Vuffray, S Misra
Constraints 22 (1), 24-49, 2017
192017
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
152018
Monotonicity of actuated flows on dissipative transport networks
A Zlotnik, S Misra, M Vuffray, M Chertkov
2016 European Control Conference (ECC), 831-836, 2016
142016
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
112015
Efficient learning of discrete graphical models
M Vuffray, S Misra, AY Lokhov
arXiv preprint arXiv:1902.00600, 2019
102019
Information theoretic optimal learning of gaussian graphical models
S Misra, M Vuffray, AY Lokhov
Conference on Learning Theory, 2888-2909, 2020
9*2020
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
Maximum throughput problem in dissipative flow networks with application to natural gas systems
S Misra, M Vuffray, M Chertkov
arXiv preprint arXiv:1504.02370, 2015
62015
Beyond the Bethe free energy of LDPC codes via polymer expansions
N Macris, M Vuffray
2012 IEEE International Symposium on Information Theory Proceedings, 2331-2335, 2012
62012
The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion
N Macris, M Vuffray
IEEE Transactions on Information Theory 62 (7), 4003-4023, 2016
52016
The Potential of Quantum Annealing for Rapid Solution Structure Identification
Y Pang, C Coffrin, AY Lokhov, M Vuffray
arXiv preprint arXiv:1912.01759, 2019
42019
The cavity method in coding theory
M Vuffray
EPFL, 2014
42014
Fast and robust determination of power system emergency control actions
S Misra, L Roald, M Vuffray, M Chertkov
arXiv preprint arXiv:1707.07105, 2017
32017
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