Discovering a Transferable Charge Assignment Model Using Machine Learning von Sifain, Andrew E, Lubbers, Nicholas, Nebgen, Benjamin T, Smith, Justin S, Lokhov, Andrey Y, Isayev, Olexandr, Roitberg, Adrian E, Barros, Kipton, Tretiak, Sergei

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Optimal structure and parameter learning of Ising models von Lokhov, Andrey Y, Vuffray, Marc, Misra, Sidhant, Chertkov, Michael

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Single-Qubit Fidelity Assessment of Quantum Annealing Hardware von Nelson, Jon, Vuffray, Marc, Lokhov, Andrey Y., Coffrin, Carleton Coffrin

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Dynamic message-passing equations for models with unidirectional dynamics von Lokhov, Andrey Y, Mézard, Marc, Zdeborová, Lenka

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Efficient learning of discrete graphical models von Vuffray, Marc, Misra, Sidhant, Lokhov, Andrey Y.

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The potential of quantum annealing for rapid solution structure identification von Pang, Yuchen, Coffrin, Carleton, Lokhov, Andrey Y., Vuffray, Marc

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Correction to: The potential of quantum annealing for rapid solution structure identification von Pang, Yuchen, Coffrin, Carleton, Lokhov, Andrey Y., Vuffray, Marc

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Reducing urban traffic congestion due to localized routing decisions von Li, Bo, Saad, David, Lokhov, Andrey Y.

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Universal framework for simultaneous tomography of quantum states and SPAM noise von Jayakumar, Abhijith, Chessa, Stefano, Coffrin, Carleton, Lokhov, Andrey Y., Vuffray, Marc, Misra, Sidhant

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Learning of networked spreading models from noisy and incomplete data von Wilinski, Mateusz, Lokhov, Andrey Y.

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Efficient learning of discrete graphical models This article is an updated version of: Vuffray M, Misra S and Lokhov A 2020 Efficient Learning of Discrete Graphical Models Advances... von Vuffray, Marc, Misra, Sidhant, Lokhov, Andrey Y

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High-Quality Thermal Gibbs Sampling with Quantum Annealing Hardware von Nelson, Jon, Vuffray, Marc, Lokhov, Andrey Y., Albash, Tameem, Coffrin, Carleton

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Signatures of Open and Noisy Quantum Systems in Single-Qubit Quantum Annealing von Morrell, Zachary, Vuffray, Marc, Lokhov, Andrey Y., Bärtschi, Andreas, Albash, Tameem, Coffrin, Carleton

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Phase transition in random planar diagrams and RNA-type matching von Lokhov, Andrey Y, Valba, Olga V, Tamm, Mikhail V, Nechaev, Sergei K

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Learning of networked spreading models from noisy and incomplete data von Wilinski, Mateusz, Lokhov, Andrey Y

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Forced oscillation source localization from generator measurements von Tyloo, Melvyn, Vuffray, Marc, Lokhov, Andrey Y

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Learning Energy-Based Representations of Quantum Many-Body States von Jayakumar, Abhijith, Vuffray, Marc, Lokhov, Andrey Y

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Discrete distributions are learnable from metastable samples von Jayakumar, Abhijith, Lokhov, Andrey Y, Misra, Sidhant, Vuffray, Marc

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Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations von Wilinski, Mateusz, Lokhov, Andrey Y

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Locating the source of forced oscillations in transmission power grids von Delabays, Robin, Lokhov, Andrey Y, Tyloo, Melvyn, Vuffray, Marc

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