Marc Vuffray

CoRR, 2023

Learning Energy-Based Representations of Quantum Many-Body States.

[BibT_eX]

[DOI]

Abhijith Jayakumar

CoRR, 2023

Single-Qubit Cross Platform Comparison of Quantum Computing Hardware.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

General Algorithms for SPAM Noise Characterization.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2023

2022

Vector Field Visualization of Single-Qubit State Tomography.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Quantum Computing and Engineering, 2022

2021

High-quality Thermal Gibbs Sampling with Quantum Annealing Hardware.

[BibT_eX]

[DOI]

CoRR, 2021

Single-Qubit Fidelity Assessment of Quantum Annealing Hardware.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Continuous Exponential Families Beyond Gaussian.

[BibT_eX]

[DOI]

CoRR, 2021

Correction to: The potential of quantum annealing for rapid solution structure identification.

[BibT_eX]

[DOI]

Constraints An Int. J., 2021

The potential of quantum annealing for rapid solution structure identification.

[BibT_eX]

[DOI]

Constraints An Int. J., 2021

Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Monotonicity Properties of Physical Network Flows and Application to Robust Optimal Allocation.

[BibT_eX]

[DOI]

Anatoly Zlotnik

Proc. IEEE, 2020

Programmable Quantum Annealers as Noisy Gibbs Samplers.

[BibT_eX]

[DOI]

CoRR, 2020

The Impacts of Convex Piecewise Linear Cost Formulations on AC Optimal Power Flow.

[BibT_eX]

[DOI]

CoRR, 2020

Efficient Learning of Discrete Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning of Discrete Graphical Models with Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Information Theoretic Optimal Learning of Gaussian Graphical Models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2020

2018

Quantum Algorithm Implementations for Beginners.

[BibT_eX]

[DOI]

CoRR, 2018

Uncovering Power Transmission Dynamic Model from Incomplete PMU Observations.

[BibT_eX]

[DOI]

Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017

Online Learning of Power Transmission Dynamics.

[BibT_eX]

[DOI]

CoRR, 2017

Towards Optimal Sparse Inverse Covariance Selection through Non-Convex Optimization.

[BibT_eX]

[DOI]

CoRR, 2017

Graphical Models and Belief Propagation-hierarchy for Optimal Physics-Constrained Network Flows.

[BibT_eX]

[DOI]

Dvijotham Krishnamurty

Pascal Van Hentenryck

CoRR, 2017

Graphical models for optimal power flow.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

Pascal Van Hentenryck

Constraints An Int. J., 2017

2016

The Bethe Free Energy Allows to Compute the Conditional Entropy of Graphical Code Instances: A Proof From the Polymer Expansion.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2016

Optimal structure and parameter learning of Ising models.

[BibT_eX]

[DOI]

CoRR, 2016

Interaction Screening: Efficient and Sample-Optimal Learning of Ising Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Monotonicity of actuated flows on dissipative transport networks.

[BibT_eX]

[DOI]

Proceedings of the 15th European Control Conference, 2016

2015

Approaching the Rate-Distortion Limit With Spatial Coupling, Belief Propagation, and Decimation.

[BibT_eX]

[DOI]

Vahid Aref

IEEE Trans. Inf. Theory, 2015

Natural Gas Flow Solutions with Guarantees: A Monotone Operator Theory Approach.

[BibT_eX]

[DOI]

Krishnamurthy Dvijotham

CoRR, 2015

Monotonicity of dissipative flow networks renders robust maximum profit problem tractable: General analysis and application to natural gas flows.

[BibT_eX]

[DOI]

Proceedings of the 54th IEEE Conference on Decision and Control, 2015

Concentration to zero bit-error probability for regular LDPC codes on the binary symmetric channel: Proof by loop calculus.

[BibT_eX]

[DOI]

Theodor Misiakiewicz

Proceedings of the 53rd Annual Allerton Conference on Communication, 2015

2014

The Cavity Method in Coding Theory.

[BibT_eX]

[DOI]

PhD thesis, 2014

2013

Approaching the rate-distortion limit by spatial coupling with belief propagation and decimation.

[BibT_eX]

[DOI]

Vahid Aref

Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

2012

Polymer Expansions for Cycle LDPC Codes

[BibT_eX]

[DOI]

CoRR, 2012

Beyond the Bethe free energy of LDPC codes via polymer expansions.

[BibT_eX]

[DOI]