Marc Vuffray

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 33

Top Topics

Graphical Models

Optimal Power Flow

Bethe Free Energy

Top Venues

Constraints An Int. J.

IEEE Trans. Inf. Theory

Publications

Zeguan Wu, Sidhant Misra, Tamás Terlaky, Xiu Yang, Marc Vuffray
An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. CoRR (2024)
Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
General Algorithms for SPAM Noise Characterization. QCE (2023)
Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov
Learning Energy-Based Representations of Quantum Many-Body States. CoRR (2023)
Melvyn Tyloo, Marc Vuffray, Andrey Y. Lokhov
Forced oscillation source localization from generator measurements. CoRR (2023)
Adrien Suau, Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. QCE (2023)
Adrien Suau, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
Vector Field Visualization of Single-Qubit State Tomography. QCE (2022)
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) (2021)
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. CoRR (2021)
Christopher X. Ren, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
Learning Continuous Exponential Families Beyond Gaussian. CoRR (2021)
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Carleton Coffrin
Single-Qubit Fidelity Assessment of Quantum Annealing Hardware. CoRR (2021)
Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. ICML (2021)
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) (2021)
Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin
High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware. CoRR (2021)
Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
Learning of Discrete Graphical Models with Neural Networks. CoRR (2020)
Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
Efficient Learning of Discrete Graphical Models. NeurIPS (2020)
Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
Information Theoretic Optimal Learning of Gaussian Graphical Models. COLT (2020)
Sidhant Misra, Marc Vuffray, Anatoly Zlotnik
Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. Proc. IEEE 108 (9) (2020)
Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
Learning of Discrete Graphical Models with Neural Networks. NeurIPS (2020)
Carleton Coffrin, Bernard Knueven, Jesse Holzer, Marc Vuffray
The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. CoRR (2020)
Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov
Programmable Quantum Annealers as Noisy Gibbs Samplers. CoRR (2020)
Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
Efficient Learning of Discrete Graphical Models. CoRR (2019)
Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov
Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC (2018)
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 (2018)
Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra
Graphical models for optimal power flow. Constraints An Int. J. 22 (1) (2017)
Michael Chertkov, Sidhant Misra, Marc Vuffray, Dvijotham Krishnamurty, Pascal Van Hentenryck
Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. CoRR (2017)
Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov
Online Learning of Power Transmission Dynamics. CoRR (2017)
Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov, Michael Chertkov
Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. CoRR (2017)
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) (2016)
Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. NIPS (2016)
Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray
Graphical Models for Optimal Power Flow. CoRR (2016)
Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. CoRR (2016)
Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra, Michael Chertkov
Optimal structure and parameter learning of Ising models. CoRR (2016)
Anatoly Zlotnik, Sidhant Misra, Marc Vuffray, Michael Chertkov
Monotonicity of actuated flows on dissipative transport networks. ECC (2016)
Vahid Aref, Nicolas Macris, Marc Vuffray
Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation. IEEE Trans. Inf. Theory 61 (7) (2015)
Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov
Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR (2015)
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)
Marc Vuffray, Theodor Misiakiewicz
Concentration to Zero Bit-Error Probability for Regular LDPC Codes on the Binary Symmetric Channel: Proof by Loop Calculus. CoRR (2015)
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)
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 (2013)
Vahid Aref, Nicolas Macris, Marc Vuffray
Approaching the Rate-Distortion Limit with Spatial Coupling, Belief propagation and Decimation. CoRR (2013)
Vahid Aref, Nicolas Macris, Marc Vuffray
Approaching the rate-distortion limit by spatial coupling with belief propagation and decimation. ISIT (2013)
Nicolas Macris, Marc Vuffray
Beyond the Bethe Free Energy of LDPC Codes via Polymer Expansions CoRR (2012)
Nicolas Macris, Marc Vuffray
Polymer Expansions for Cycle LDPC Codes CoRR (2012)
Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray
Lossy Source Coding via Spatially Coupled LDGM Ensembles CoRR (2012)
Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray
Lossy source coding via spatially coupled LDGM ensembles. ISIT (2012)
Nicolas Macris, Marc Vuffray
Beyond the Bethe free energy of LDPC codes via polymer expansions. ISIT (2012)