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2020 – today
- 2023
[i23]Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov:
Learning Energy-Based Representations of Quantum Many-Body States. CoRR abs/2304.04058 (2023)- 2022
- [c13]Adrien Suau, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin:
Vector Field Visualization of Single-Qubit State Tomography. QCE 2022: 528-534 - 2021
- [j6]Yuchen Pang
, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray:
The potential of quantum annealing for rapid solution structure identification. Constraints An Int. J. 26(1): 1-25 (2021) - [j5]Yuchen Pang, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray:
Correction to: The potential of quantum annealing for rapid solution structure identification. Constraints An Int. J. 26(1): 107 (2021) - [c12]Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. ICML 2021: 2914-2925 - [i22]Christopher X. Ren, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov:
Learning Continuous Exponential Families Beyond Gaussian. CoRR abs/2102.09198 (2021) - [i21]Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra:
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. CoRR abs/2104.00995 (2021) - [i20]Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Carleton Coffrin:
Single-Qubit Fidelity Assessment of Quantum Annealing Hardware. CoRR abs/2104.03335 (2021) - [i19]Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin:
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware. CoRR abs/2109.01690 (2021) - 2020
- [j4]Sidhant Misra, Marc Vuffray, Anatoly Zlotnik:
Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. Proc. IEEE 108(9): 1558-1579 (2020) - [c11]Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov:
Information Theoretic Optimal Learning of Gaussian Graphical Models. COLT 2020: 2888-2909 - [c10]Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. NeurIPS 2020 - [c9]Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov:
Efficient Learning of Discrete Graphical Models. NeurIPS 2020 - [i18]Carleton Coffrin, Bernard Knueven, Jesse Holzer, Marc Vuffray:
The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. CoRR abs/2005.14087 (2020) - [i17]Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray:
Learning of Discrete Graphical Models with Neural Networks. CoRR abs/2006.11937 (2020) - [i16]Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov:
Programmable Quantum Annealers as Noisy Gibbs Samplers. CoRR abs/2012.08827 (2020)
2010 – 2019
- 2019
- [i15]Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov:
Efficient Learning of Discrete Graphical Models. CoRR abs/1902.00600 (2019) - 2018
- [c8]Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov:
Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC 2018: 4008-4013 - [i14]Patrick J. Coles, Stephan J. Eidenbenz, Scott Pakin, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Andrey Y. Lokhov, Alexander Malyzhenkov, David Dennis Lee Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu:
Quantum Algorithm Implementations for Beginners. CoRR abs/1804.03719 (2018) - 2017
- [j3]Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra:
Graphical models for optimal power flow. Constraints An Int. J. 22(1): 24-49 (2017) - [i13]Michael Chertkov, Sidhant Misra, Marc Vuffray, Dvijotham Krishnamurty, Pascal Van Hentenryck:
Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. CoRR abs/1702.01890 (2017) - [i12]Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov, Michael Chertkov:
Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. CoRR abs/1703.04886 (2017) - [i11]Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov:
Online Learning of Power Transmission Dynamics. CoRR abs/1710.10021 (2017) - 2016
- [j2]Nicolas Macris, Marc Vuffray:
The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion. IEEE Trans. Inf. Theory 62(7): 4003-4023 (2016) - [c7]Anatoly Zlotnik, Sidhant Misra, Marc Vuffray, Michael Chertkov:
Monotonicity of actuated flows on dissipative transport networks. ECC 2016: 831-836 - [c6]Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov:
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. NIPS 2016: 2595-2603 - [i10]Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov:
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. CoRR abs/1605.07252 (2016) - [i9]Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray:
Graphical Models for Optimal Power Flow. CoRR abs/1606.06512 (2016) - [i8]Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra, Michael Chertkov:
Optimal structure and parameter learning of Ising models. CoRR abs/1612.05024 (2016) - 2015
- [j1]Vahid Aref, Nicolas Macris, Marc Vuffray:
Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation. IEEE Trans. Inf. Theory 61(7): 3954-3979 (2015) - [c5]Marc Vuffray, Theodor Misiakiewicz:
Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus. Allerton 2015: 115-124 - [c4]Marc Vuffray, Sidhant Misra, Michael Chertkov:
Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. CDC 2015: 4571-4578 - [i7]Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov:
Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR abs/1506.06075 (2015) - [i6]Marc Vuffray, Theodor Misiakiewicz:
Concentration to Zero Bit-Error Probability for Regular LDPC Codes on the Binary Symmetric Channel: Proof by Loop Calculus. CoRR abs/1509.05477 (2015) - 2014
- [b1]Marc Vuffray:
The Cavity Method in Coding Theory. EPFL, Switzerland, 2014 - 2013
- [c3]Vahid Aref, Nicolas Macris, Marc Vuffray:
Approaching the rate-distortion limit by spatial coupling with belief propagation and decimation. ISIT 2013: 1177-1181 - [i5]Vahid Aref, Nicolas Macris, Marc Vuffray:
Approaching the Rate-Distortion Limit with Spatial Coupling, Belief propagation and Decimation. CoRR abs/1307.5210 (2013) - [i4]Nicolas Macris, Marc Vuffray:
The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances. A Proof from the Polymer Expansion. CoRR abs/1310.1294 (2013) - 2012
- [c2]Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray:
Lossy source coding via spatially coupled LDGM ensembles. ISIT 2012: 373-377 - [c1]Nicolas Macris, Marc Vuffray:
Beyond the Bethe free energy of LDPC codes via polymer expansions. ISIT 2012: 2331-2335 - [i3]Nicolas Macris, Marc Vuffray:
Beyond the Bethe Free Energy of LDPC Codes via Polymer Expansions. CoRR abs/1202.2774 (2012) - [i2]Nicolas Macris, Marc Vuffray:
Polymer Expansions for Cycle LDPC Codes. CoRR abs/1202.2778 (2012) - [i1]Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray:
Lossy Source Coding via Spatially Coupled LDGM Ensembles. CoRR abs/1202.4959 (2012)
Coauthor Index
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last updated on 2023-04-21 20:02 CEST by the dblp team
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