Marc Vuffray - RankMe

55 papers A* 4B 3Misc 4Journal 38Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computationally sufficient statistics for Ising models. CoRR Abhijith Jayakumar, Shreya Shukla, Marc Vuffray, Andrey Y. Lokhov, Sidhant Misra
2026	J	`jnl`	Selecting Optimal Variable Order in Autoregressive Ising Models. CoRR Shiba Biswal, Marc Vuffray, Andrey Y. Lokhov
2025	J	`jnl`	Symmetric Linear Dynamical Systems are Learnable from Few Observations. CoRR Minh Vu, Andrey Y. Lokhov, Marc Vuffray
2024	J	`jnl`	An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. CoRR Zeguan Wu, Sidhant Misra, Tamás Terlaky, Xiu Yang, Marc Vuffray
2024	J	`jnl`	Discrete distributions are learnable from metastable samples. CoRR Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2024	J	`jnl`	On the emerging potential of quantum annealing hardware for combinatorial optimization. J. Heuristics Byron Tasseff, Tameem Albash, Zachary Morrell, Marc Vuffray, Andrey Y. Lokhov, Sidhant Misra, Carleton Coffrin
2024	Misc	`conf`	QuantumAnnealing: A Julia Package for Simulating Dynamics of Transverse Field Ising Models. QCE Zachary Morrell, Marc Vuffray, Sidhant Misra, Carleton Coffrin
2024	J	`jnl`	Universal framework for simultaneous tomography of quantum states and SPAM noise. Quantum Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2023	J	`jnl`	Forced oscillation source localization from generator measurements. CoRR Melvyn Tyloo, Marc Vuffray, Andrey Y. Lokhov
2023	Misc	`conf`	General Algorithms for SPAM Noise Characterization. QCE Abhijith Jayakumar, Stefano Chessa, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2023	J	`jnl`	Learning Energy-Based Representations of Quantum Many-Body States. CoRR Abhijith Jayakumar, Marc Vuffray, Andrey Y. Lokhov
2023	Misc	`conf`	Single-Qubit Cross Platform Comparison of Quantum Computing Hardware. QCE Adrien Suau, Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
2022	J	`jnl`	Quantum Algorithm Implementations for Beginners. ACM Trans. Quantum Comput. Abhijith Jayakumar, Adetokunbo Adedoyin, John Ambrosiano, Petr M. Anisimov, William Casper, Gopinath Chennupati, Carleton Coffrin, Hristo N. Djidjev, David Gunter, Satish Karra, Nathan Lemons, Shizeng Lin, Alexander Malyzhenkov, David Mascarenas, Susan M. Mniszewski, Balu Nadiga, Daniel O'Malley, Diane Oyen, Scott Pakin, Lakshman Prasad, Randy Roberts, Phillip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, James G. Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu, Stephan J. Eidenbenz, Andreas Bärtschi, Patrick J. Coles, Marc Vuffray, Andrey Y. Lokhov
2022	Misc	`conf`	Vector Field Visualization of Single-Qubit State Tomography. QCE Adrien Suau, Marc Vuffray, Andrey Y. Lokhov, Lukasz Cincio, Carleton Coffrin
2021	J	`jnl`	Correction to: The potential of quantum annealing for rapid solution structure identification. Constraints An Int. J. Yuchen Pang, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray
2021	A*	`conf`	Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. ICML Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021	J	`jnl`	Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics. CoRR Arkopal Dutt, Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra
2021	J	`jnl`	High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware. CoRR Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Tameem Albash, Carleton Coffrin
2021	J	`jnl`	Learning Continuous Exponential Families Beyond Gaussian. CoRR Christopher X. Ren, Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
2021	J	`jnl`	Single-Qubit Fidelity Assessment of Quantum Annealing Hardware. CoRR Jon Nelson, Marc Vuffray, Andrey Y. Lokhov, Carleton Coffrin
2021	J	`jnl`	The potential of quantum annealing for rapid solution structure identification. Constraints An Int. J. Yuchen Pang, Carleton Coffrin, Andrey Y. Lokhov, Marc Vuffray
2020	A*	`conf`	Efficient Learning of Discrete Graphical Models. NeurIPS Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
2020	A*	`conf`	Information Theoretic Optimal Learning of Gaussian Graphical Models. COLT Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov
2020	A*	`conf`	Learning of Discrete Graphical Models with Neural Networks. NeurIPS Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2020	J	`jnl`	Learning of Discrete Graphical Models with Neural Networks. CoRR Abhijith Jayakumar, Andrey Y. Lokhov, Sidhant Misra, Marc Vuffray
2020	J	`jnl`	Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation. Proc. IEEE Sidhant Misra, Marc Vuffray, Anatoly Zlotnik
2020	J	`jnl`	Programmable Quantum Annealers as Noisy Gibbs Samplers. CoRR Marc Vuffray, Carleton Coffrin, Yaroslav A. Kharkov, Andrey Y. Lokhov
2020	J	`jnl`	The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow. CoRR Carleton Coffrin, Bernard Knueven, Jesse Holzer, Marc Vuffray
2019	J	`jnl`	Efficient Learning of Discrete Graphical Models. CoRR Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov
2018	J	`jnl`	Quantum Algorithm Implementations for Beginners. CoRR 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 Mascarenas, Susan M. Mniszewski, Balu Nadiga, Dan O'Malley, Diane Oyen, Lakshman Prasad, Randy Roberts, Philip Romero, Nandakishore Santhi, Nikolai Sinitsyn, Pieter J. Swart, Marc Vuffray, Jim Wendelberger, Boram Yoon, Richard J. Zamora, Wei Zhu
2018	—	`conf`	Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations. CDC Andrey Y. Lokhov, Deepjyoti Deka, Marc Vuffray, Michael Chertkov
2017	J	`jnl`	Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows. CoRR Michael Chertkov, Sidhant Misra, Marc Vuffray, Dvijotham Krishnamurty, Pascal Van Hentenryck
2017	J	`jnl`	Graphical models for optimal power flow. Constraints An Int. J. Krishnamurthy Dvijotham, Michael Chertkov, Pascal Van Hentenryck, Marc Vuffray, Sidhant Misra
2017	J	`jnl`	Online Learning of Power Transmission Dynamics. CoRR Andrey Y. Lokhov, Marc Vuffray, Dmitry Shemetov, Deepjyoti Deka, Michael Chertkov
2017	J	`jnl`	Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization. CoRR Sidhant Misra, Marc Vuffray, Andrey Y. Lokhov, Michael Chertkov
2016	J	`jnl`	Graphical Models for Optimal Power Flow. CoRR Krishnamurthy Dvijotham, Pascal Van Hentenryck, Michael Chertkov, Sidhant Misra, Marc Vuffray
2016	—	`conf`	Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. NIPS Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
2016	J	`jnl`	Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models. CoRR Marc Vuffray, Sidhant Misra, Andrey Y. Lokhov, Michael Chertkov
2016	—	`conf`	Monotonicity of actuated flows on dissipative transport networks. ECC Anatoly Zlotnik, Sidhant Misra, Marc Vuffray, Michael Chertkov
2016	J	`jnl`	Optimal structure and parameter learning of Ising models. CoRR Andrey Y. Lokhov, Marc Vuffray, Sidhant Misra, Michael Chertkov
2016	J	`jnl`	The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion. IEEE Trans. Inf. Theory Nicolas Macris, Marc Vuffray
2015	J	`jnl`	Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation. IEEE Trans. Inf. Theory Vahid Aref, Nicolas Macris, Marc Vuffray
2015	J	`jnl`	Concentration to Zero Bit-Error Probability for Regular LDPC Codes on the Binary Symmetric Channel: Proof by Loop Calculus. CoRR Marc Vuffray, Theodor Misiakiewicz
2015	—	`conf`	Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus. Allerton Marc Vuffray, Theodor Misiakiewicz
2015	—	`conf`	Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows. CDC Marc Vuffray, Sidhant Misra, Michael Chertkov
2015	J	`jnl`	Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach. CoRR Krishnamurthy Dvijotham, Marc Vuffray, Sidhant Misra, Michael Chertkov
2014	—	`—`	The Cavity Method in Coding Theory. Marc Vuffray
2013	J	`jnl`	Approaching the Rate-Distortion Limit with Spatial Coupling, Belief propagation and Decimation. CoRR Vahid Aref, Nicolas Macris, Marc Vuffray
2013	B	`conf`	Approaching the rate-distortion limit by spatial coupling with belief propagation and decimation. ISIT Vahid Aref, Nicolas Macris, Marc Vuffray
2013	J	`jnl`	The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances. A Proof from the Polymer Expansion. CoRR Nicolas Macris, Marc Vuffray
2012	J	`jnl`	Beyond the Bethe Free Energy of LDPC Codes via Polymer Expansions CoRR Nicolas Macris, Marc Vuffray
2012	B	`conf`	Beyond the Bethe free energy of LDPC codes via polymer expansions. ISIT Nicolas Macris, Marc Vuffray
2012	J	`jnl`	Lossy Source Coding via Spatially Coupled LDGM Ensembles CoRR Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray
2012	B	`conf`	Lossy source coding via spatially coupled LDGM ensembles. ISIT Vahid Aref, Nicolas Macris, Rüdiger L. Urbanke, Marc Vuffray
2012	J	`jnl`	Polymer Expansions for Cycle LDPC Codes CoRR Nicolas Macris, Marc Vuffray