Lossy source coding via spatially coupled LDGM ensembles. - Vahid Aref; Nicolas Macris; Rüdiger L. Urbanke; Marc Vuffray (ISIT, 2012)

Beyond the Bethe free energy of LDPC codes via polymer expansions. - Nicolas Macris; Marc Vuffray (ISIT, 2012)

Polymer Expansions for Cycle LDPC Codes - Nicolas Macris; Marc Vuffray (CoRR, 2012)

Approaching the rate-distortion limit by spatial coupling with belief propagation and decimation. - Vahid Aref; Nicolas Macris; Marc Vuffray (ISIT, 2013)

The Cavity Method in Coding Theory. - Marc Vuffray (2014)

Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus. - Marc Vuffray; Theodor Misiakiewicz (Allerton, 2015)

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. - Marc Vuffray; Sidhant Misra; Michael Chertkov (CDC, 2015)

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. - Krishnamurthy Dvijotham; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2015)

Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation. - Vahid Aref; Nicolas Macris; Marc Vuffray (IEEE Trans. Inf. Theory, 2015)

Monotonicity of actuated flows on dissipative transport networks. - Anatoly Zlotnik; Sidhant Misra; Marc Vuffray; Michael Chertkov (ECC, 2016)

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. - Marc Vuffray; Sidhant Misra; Andrey Y. Lokhov; Michael Chertkov (NIPS, 2016)

Optimal structure and parameter learning of Ising models. - Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra; Michael Chertkov (CoRR, 2016)

The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion. - Nicolas Macris; Marc Vuffray (IEEE Trans. Inf. Theory, 2016)

Graphical models for optimal power flow. - Krishnamurthy Dvijotham; Michael Chertkov; Pascal Van Hentenryck; Marc Vuffray; Sidhant Misra (Constraints An Int. J., 2017)

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. - Michael Chertkov; Sidhant Misra; Marc Vuffray; Dvijotham Krishnamurty; Pascal Van Hentenryck (CoRR, 2017)

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. - Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov; Michael Chertkov (CoRR, 2017)

Online Learning of Power Transmission Dynamics. - Andrey Y. Lokhov; Marc Vuffray; Dmitry Shemetov; Deepjyoti Deka; Michael Chertkov (CoRR, 2017)

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. - Andrey Y. Lokhov; Deepjyoti Deka; Marc Vuffray; Michael Chertkov (CDC, 2018)

Quantum Algorithm Implementations for Beginners. - 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; et al. (CoRR, 2018)

Information Theoretic Optimal Learning of Gaussian Graphical Models. - Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov (COLT, 2020)

Learning of Discrete Graphical Models with Neural Networks. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (NeurIPS, 2020)

Efficient Learning of Discrete Graphical Models. - Marc Vuffray; Sidhant Misra; Andrey Y. Lokhov (NeurIPS, 2020)

The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. - Carleton Coffrin; Bernard Knueven; Jesse Holzer; Marc Vuffray (CoRR, 2020)

Programmable Quantum Annealers as Noisy Gibbs Samplers. - Marc Vuffray; Carleton Coffrin; Yaroslav A. Kharkov; Andrey Y. Lokhov (CoRR, 2020)

Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. - Sidhant Misra; Marc Vuffray; Anatoly Zlotnik (Proc. IEEE, 2020)

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. - Arkopal Dutt; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (ICML, 2021)

The potential of quantum annealing for rapid solution structure identification. - Yuchen Pang; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray (Constraints An Int. J., 2021)

Correction to: The potential of quantum annealing for rapid solution structure identification. - Yuchen Pang; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray (Constraints An Int. J., 2021)

Learning Continuous Exponential Families Beyond Gaussian. - Christopher X. Ren; Sidhant Misra; Marc Vuffray; Andrey Y. Lokhov (CoRR, 2021)

Single-Qubit Fidelity Assessment of Quantum Annealing Hardware. - Jon Nelson; Marc Vuffray; Andrey Y. Lokhov; Carleton Coffrin (CoRR, 2021)

High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware. - Jon Nelson; Marc Vuffray; Andrey Y. Lokhov; Tameem Albash; Carleton Coffrin (CoRR, 2021)

Vector Field Visualization of Single-Qubit State Tomography. - Adrien Suau; Marc Vuffray; Andrey Y. Lokhov; Lukasz Cincio; Carleton Coffrin (QCE, 2022)

General Algorithms for SPAM Noise Characterization. - Abhijith Jayakumar; Stefano Chessa; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (QCE, 2023)

Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. - Adrien Suau; Jon Nelson; Marc Vuffray; Andrey Y. Lokhov; Lukasz Cincio; Carleton Coffrin (QCE, 2023)

Learning Energy-Based Representations of Quantum Many-Body States. - Abhijith Jayakumar; Marc Vuffray; Andrey Y. Lokhov (CoRR, 2023)

Forced oscillation source localization from generator measurements. - Melvyn Tyloo; Marc Vuffray; Andrey Y. Lokhov (CoRR, 2023)

QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. - Zachary Morrell; Marc Vuffray; Sidhant Misra; Carleton Coffrin (QCE, 2024)

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. - Zeguan Wu; Sidhant Misra; Tamás Terlaky; Xiu Yang; Marc Vuffray (CoRR, 2024)

Discrete distributions are learnable from metastable samples. - Abhijith Jayakumar; Andrey Y. Lokhov; Sidhant Misra; Marc Vuffray (CoRR, 2024)

Universal framework for simultaneous tomography of quantum states and SPAM noise. - Abhijith Jayakumar; Stefano Chessa; Carleton Coffrin; Andrey Y. Lokhov; Marc Vuffray; Sidhant Misra (Quantum, 2024)

On the emerging potential of quantum annealing hardware for combinatorial optimization. - Byron Tasseff; Tameem Albash; Zachary Morrell; Marc Vuffray; Andrey Y. Lokhov; Sidhant Misra; Carleton Coffrin (J. Heuristics, 2024)